Letta MCP Server

A Model Context Protocol (MCP) server that provides comprehensive tools for agent management, memory operations, and integration with the Letta system. This server implements the full MCP specification including tools, prompts, and resources, with enhanced descriptions, output schemas, and behavioral annotations.

View on npm | View on GitHub

Features

🤖 Agent Management - Create, modify, clone, and manage Letta agents
🧠 Memory Operations - Handle memory blocks and passages
🔧 Tool Integration - Attach and manage tools for agents with full MCP support
💬 Prompts - Interactive wizards and assistants for common workflows
📚 Resources - Access system information, documentation, and agent data
🌐 Multiple Transports - HTTP, SSE, and stdio support
🔗 MCP Server Integration - Integrate with other MCP servers
📊 Enhanced Metadata - Output schemas and behavioral annotations for all tools
📦 Docker Support - Easy deployment with Docker

Environment Configuration

Create a .env file with the following variables:

# Required
LETTA_BASE_URL=https://your-letta-instance.com/v1
LETTA_PASSWORD=your-secure-password

# Optional
PORT=3001
NODE_ENV=production

Installation

Install from npm

# Global installation (recommended for CLI usage)
npm install -g letta-mcp-server

# Or local installation
npm install letta-mcp-server

Use with Claude Desktop

After installing globally, add to your Claude Desktop configuration:

{
  "mcpServers": {
    "letta": {
      "command": "letta-mcp",
      "args": [],
      "env": {
        "LETTA_BASE_URL": "https://your-letta-instance.com/v1",
        "LETTA_PASSWORD": "your-secure-password"
      }
    }
  }
}

Quick Start with npm

# Install globally
npm install -g letta-mcp-server

# Set environment variables
export LETTA_BASE_URL=https://your-letta-instance.com/v1
export LETTA_PASSWORD=your-secure-password

# Run the server
letta-mcp              # stdio (for Claude Desktop)
letta-mcp --http       # HTTP transport
letta-mcp --sse        # SSE transport

Implementation Options

This repository provides three different implementations of the Letta MCP server, allowing you to choose the best option for your use case:

🔵 Classic Individual Tools (master branch)

Branch: master

The original implementation with individual tools for each API endpoint.

Best for:

Users who prefer individual, focused tools
Compatibility with existing integrations
Granular tool selection and control
Learning the Letta API one operation at a time

Docker Images:

# Latest master branch build
docker pull ghcr.io/oculairmedia/letta-mcp-server:master

Features:

70+ individual tools, each handling one specific operation
Direct mapping to Letta API endpoints
Simple, straightforward tool names
Full MCP protocol support (tools, prompts, resources)
Multiple transport protocols (HTTP, SSE, stdio)

🟢 Node.js Consolidated Tools (Recommended for most users)

Branch: nodejs-consolidated-tools

Modern implementation with 7 consolidated tools using the discriminator pattern.

Best for:

Production deployments
Claude Desktop integration
npm package consumers
Teams who want fewer tools with more functionality

Docker Images:

# Latest stable release
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest

# Specific version
docker pull ghcr.io/oculairmedia/letta-mcp-server:2.0.1

# Development branch
docker pull ghcr.io/oculairmedia/letta-mcp-server:nodejs-consolidated-tools

Features:

7 consolidated tools covering 87 operations
93% SDK coverage with official @letta-ai/letta-client
Discriminator pattern (use operation parameter)
Enhanced error handling and validation
Full MCP protocol support (tools, prompts, resources)
Comprehensive test suite and documentation

🦀 Rust Implementation (Performance-focused alternative)

Branch: rust-implementation

High-performance implementation built with Rust and the TurboMCP framework.

Best for:

Resource-constrained environments
Maximum performance requirements
Low memory footprint needs
Teams familiar with Rust

Docker Images:

# Latest Rust build
docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-latest

# Development branch
docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-implementation

Features:

Same 7 consolidated tools with full feature parity
Built on TurboMCP framework for MCP protocol
Compile-time type safety and validation
Lower memory usage and faster execution
Multi-architecture Docker builds (amd64, arm64)

Comparison

Feature	Classic (master)	Node.js Consolidated	Rust
Tool Count	70+ individual	7 consolidated	7 consolidated
API Pattern	One tool per endpoint	Discriminator pattern	Discriminator pattern
Maturity	✅ Original	✅ Production-ready	🟡 Stable, newer
Performance	Good	Good	Excellent
Memory Usage	~50-100MB	~50-100MB	~10-30MB
Startup Time	~1-2s	~1-2s	~100-500ms
SDK Integration	Direct API calls	93% official SDK	Custom API client
Type Safety	Runtime validation	TypeScript (runtime)	Rust (compile-time)
Package Manager	npm	npm	Docker/Cargo
Use Case	Simple, focused	Production, feature-rich	Performance-critical

Choosing an Implementation

Use Classic (master) if:

You prefer individual, single-purpose tools
You're already using the original implementation
You want simple, straightforward tool names
You're learning the Letta API

Use Node.js Consolidated if:

You need a battle-tested, production-ready solution
You want fewer tools with comprehensive functionality
You're using npm packages or Claude Desktop
You want SDK-powered reliability and type safety

Use Rust if:

You need maximum performance
You're running in resource-constrained environments (edge, embedded)
You prefer compile-time safety guarantees
You're comfortable with Docker-based deployment

All three implementations provide identical functionality and MCP protocol compliance. You can switch between them at any time without changing your Letta instance configuration.

Quick Setup

Option 1: Run from source

# Clone the repository
git clone https://github.com/oculairmedia/letta-MCP-server.git
cd letta-MCP-server

# Install dependencies
npm install

# Development
npm run dev         # Default (stdio) transport
npm run dev:sse     # SSE transport
npm run dev:http    # HTTP transport (recommended)

# Production
npm run start       # Default (stdio) transport
npm run start:sse   # SSE transport
npm run start:http  # HTTP transport (recommended)

Option 2: Run with Docker

Using the prebuilt image from GitHub Container Registry

Available tags:

latest - Latest stable release
2.0.1, 2.0, 2 - Specific version tags
master - Latest master branch build

# Pull the latest image
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest

# Run with environment variables
docker run -d \
  -p 3001:3001 \
  -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \
  -e LETTA_PASSWORD=your-secure-password \
  -e PORT=3001 \
  -e NODE_ENV=production \
  --name letta-mcp \
  ghcr.io/oculairmedia/letta-mcp-server:latest

# Or use a specific version
docker run -d \
  -p 3001:3001 \
  -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \
  -e LETTA_PASSWORD=your-secure-password \
  --name letta-mcp \
  ghcr.io/oculairmedia/letta-mcp-server:2.0.1

Using Docker Compose

version: '3.8'
services:
  letta-mcp:
    image: ghcr.io/oculairmedia/letta-mcp-server:latest
    container_name: letta-mcp
    ports:
      - "3001:3001"
    environment:
      - LETTA_BASE_URL=https://your-letta-instance.com/v1
      - LETTA_PASSWORD=your-secure-password
      - PORT=3001
      - NODE_ENV=production
    restart: unless-stopped

Building from source

# Clone and build locally
git clone https://github.com/oculairmedia/letta-MCP-server.git
cd letta-MCP-server
docker build -t letta-mcp-server .
docker run -d -p 3001:3001 --env-file .env --name letta-mcp letta-mcp-server

Option 3: Run with stdio for local MCP

# Create startup script
chmod +x /opt/stacks/letta-MCP-server/start-mcp.sh

# Add to Claude
claude mcp add --transport stdio letta-tools "/opt/stacks/letta-MCP-server/start-mcp.sh"

Architecture

See the Architecture Documentation for detailed system diagrams and component relationships.

MCP Protocol Support

This server implements the full MCP specification with all three capabilities:

🔧 Tools

All tools include:

Enhanced Descriptions: Detailed explanations with use cases and best practices
Output Schemas: Structured response definitions for predictable outputs
Behavioral Annotations: Hints about tool behavior (readOnly, costLevel, executionTime, etc.)

💬 Prompts

Interactive prompts for common workflows:

letta_agent_wizard - Guided agent creation with memory and tool setup
letta_memory_optimizer - Analyze and optimize agent memory usage
letta_debug_assistant - Troubleshoot agent issues
letta_tool_config - Discover, attach, create, or audit tools
letta_migration - Export, import, upgrade, or clone agents

📚 Resources

Access system information and documentation:

letta://system/status - System health and version info
letta://system/models - Available LLM and embedding models
letta://agents/list - Overview of all agents
letta://tools/all/docs - Complete tool documentation with examples
letta://docs/mcp-integration - Integration guide
letta://docs/api-reference - API quick reference

Resource templates for dynamic content:

letta://agents/{agent_id}/config - Agent configuration
letta://agents/{agent_id}/memory/{block_id} - Memory block content
letta://tools/{tool_name}/docs - Individual tool documentation

Available Tools

Agent Management

Tool	Description	Annotations
`create_agent`	Create a new Letta agent	💰 Medium cost, ⚡ Fast
`list_agents`	List all available agents	👁️ Read-only, 💰 Low cost
`prompt_agent`	Send a message to an agent	💰 High cost, ⏱️ Variable time, 🔒 Rate limited
`retrieve_agent`	Get agent details by ID	👁️ Read-only, ⚡ Fast
`get_agent_summary`	Get agent summary information	👁️ Read-only, ⚡ Fast
`modify_agent`	Update an existing agent	✏️ Modifies state, ⚡ Fast
`delete_agent`	Delete an agent	⚠️ Dangerous, 🗑️ Permanent
`clone_agent`	Clone an existing agent	💰 Medium cost, ⏱️ Medium time
`bulk_delete_agents`	Delete multiple agents	⚠️ Dangerous, 📦 Bulk operation
`export_agent`	Export agent configuration and memory	👁️ Read-only, ⚡ Fast, 📦 Full backup
`import_agent`	Import agent from backup	💰 High cost, ⏱️ Slow, ✏️ Creates state

Memory Management

Tool	Description	Annotations
`list_memory_blocks`	List all memory blocks	👁️ Read-only, ⚡ Fast
`create_memory_block`	Create a new memory block	✏️ Creates state, ⚡ Fast
`read_memory_block`	Read a memory block	👁️ Read-only, ⚡ Fast
`update_memory_block`	Update a memory block	✏️ Modifies state, ⚡ Fast
`attach_memory_block`	Attach memory to an agent	✏️ Links resources, ⚡ Fast

Passage Management

Tool	Description	Annotations
`list_passages`	Search archival memory	👁️ Read-only, ⚡ Fast
`create_passage`	Create archival memory	💰 Medium cost (embeddings), ⚡ Fast
`modify_passage`	Update archival memory	💰 Medium cost (re-embedding), ⚡ Fast
`delete_passage`	Delete archival memory	🗑️ Permanent, ⚡ Fast

Tool Management

Tool	Description	Annotations
`list_agent_tools`	List tools for an agent	👁️ Read-only, ⚡ Fast
`attach_tool`	Attach tools to an agent	✏️ Modifies capabilities, ⚡ Fast
`upload_tool`	Upload a custom tool	🔒 Security: Executes code, ⚡ Fast
`bulk_attach_tool_to_agents`	Attach tool to multiple agents	📦 Bulk operation, ⏱️ Slow

Model Management

Tool	Description	Annotations
`list_llm_models`	List available LLM models	👁️ Read-only, ⚡ Fast
`list_embedding_models`	List available embedding models	👁️ Read-only, ⚡ Fast

MCP Integration

Tool	Description	Annotations
`list_mcp_servers`	List configured MCP servers	👁️ Read-only, ⚡ Fast
`list_mcp_tools_by_server`	List tools from an MCP server	👁️ Read-only, ⚡ Fast
`add_mcp_tool_to_letta`	Import MCP tool to Letta	✏️ Creates tool, ⚡ Fast

Prompt Tools

Tool	Description	Annotations
`list_prompts`	List available prompt templates	👁️ Read-only, ⚡ Fast
`use_prompt`	Execute a prompt template	💰 Variable cost, ⏱️ Variable time

Directory Structure

src/index.js - Main entry point
src/core/ - Core server functionality
src/handlers/ - Prompt and resource handlers
src/examples/ - Example prompts and resources
src/tools/ - Tool implementations organized by category:
- agents/ - Agent management tools
- memory/ - Memory block tools
- passages/ - Passage management tools
- tools/ - Tool attachment and management
- mcp/ - MCP server integration tools
- models/ - Model listing tools
- enhanced-descriptions.js - Detailed tool descriptions
- output-schemas.js - Structured output definitions
- annotations.js - Behavioral hints
src/transports/ - Server transport implementations

Transport Protocols

The server supports three transport protocols:

HTTP (Recommended) - Streamable HTTP transport with full duplex communication
- Endpoint: http://your-server:3001/mcp
- Best for production use and remote connections
- Supports health checks at /health
SSE (Server-Sent Events) - Real-time event streaming
- Endpoint: http://your-server:3001/sse
- Good for unidirectional server-to-client updates
stdio - Standard input/output
- Direct process communication
- Best for local development and Claude integration

Configuration with MCP Settings

Add the server to your mcp_settings.json:

"letta": {
  "command": "node",
  "args": [
    "--no-warnings",
    "--experimental-modules",
    "path/to/letta-server/src/index.js"
  ],
  "env": {
    "LETTA_BASE_URL": "https://your-letta-instance.com",
    "LETTA_PASSWORD": "yourPassword"
  },
  "disabled": false,
  "alwaysAllow": [
    "upload_tool",
    "attach_tool",
    "list_agents",
    "list_memory_blocks"
  ],
  "timeout": 300
}

For remote instances with HTTP transport (recommended):

"remote_letta_tools": {
  "url": "http://your-server:3001/mcp",
  "transport": "http",
  "disabled": false,
  "alwaysAllow": [
    "attach_tool", 
    "list_agents",
    "list_tools",
    "get_agent"
  ],
  "timeout": 120
}

Docker Operations

# View container logs
docker logs -f letta-mcp

# Stop the container
docker stop letta-mcp

# Update to latest version
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest
docker stop letta-mcp
docker rm letta-mcp
docker run -d -p 3001:3001 -e PORT=3001 -e NODE_ENV=production --name letta-mcp ghcr.io/oculairmedia/letta-mcp-server:latest

Troubleshooting

Common Issues

Connection refused errors
- Ensure the server is running and accessible
- Check firewall settings for port 3001
- Verify the correct transport protocol is being used
Authentication failures
- Verify LETTA_BASE_URL includes /v1 suffix
- Check LETTA_PASSWORD is correct
- Ensure environment variables are loaded
- When self-hosting the Letta-Server, set environment variables accordingly:
```
"env": {
   "LETTA_BASE_URL": "http://localhost:8283",
   "LETTA_PASSWORD": "",
   "LOG_LEVEL": "info"
 }
```
Tool execution timeouts
- Increase timeout values in MCP configuration
- Check network latency for remote connections
- Consider using HTTP transport for better reliability

Health Check

The HTTP transport provides a health endpoint:

curl http://your-server:3001/health

Response:

{
  "status": "healthy",
  "transport": "streamable_http",
  "protocol_version": "2025-06-18",
  "sessions": 0,
  "uptime": 12345.678
}

Development

Testing

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Run linter
npm run lint

Contributing

We welcome contributions! Please see our Contributing Guide for details on:

Development setup
Code style and standards
Adding new tools
Testing requirements
Pull request process

Security

For security vulnerabilities, please see our Security Policy.

License

MIT License - see LICENSE file for details

Letta MCP Server

View on npm | View on GitHub

Features

🤖 Agent Management - Create, modify, clone, and manage Letta agents
🧠 Memory Operations - Handle memory blocks and passages
🔧 Tool Integration - Attach and manage tools for agents with full MCP support
💬 Prompts - Interactive wizards and assistants for common workflows
📚 Resources - Access system information, documentation, and agent data
🌐 Multiple Transports - HTTP, SSE, and stdio support
🔗 MCP Server Integration - Integrate with other MCP servers
📊 Enhanced Metadata - Output schemas and behavioral annotations for all tools
📦 Docker Support - Easy deployment with Docker

Environment Configuration

Create a .env file with the following variables:

# Required
LETTA_BASE_URL=https://your-letta-instance.com/v1
LETTA_PASSWORD=your-secure-password

# Optional
PORT=3001
NODE_ENV=production

Installation

Install from npm

# Global installation (recommended for CLI usage)
npm install -g letta-mcp-server

# Or local installation
npm install letta-mcp-server

Use with Claude Desktop

After installing globally, add to your Claude Desktop configuration:

{
  "mcpServers": {
    "letta": {
      "command": "letta-mcp",
      "args": [],
      "env": {
        "LETTA_BASE_URL": "https://your-letta-instance.com/v1",
        "LETTA_PASSWORD": "your-secure-password"
      }
    }
  }
}

Quick Start with npm

# Install globally
npm install -g letta-mcp-server

# Set environment variables
export LETTA_BASE_URL=https://your-letta-instance.com/v1
export LETTA_PASSWORD=your-secure-password

# Run the server
letta-mcp              # stdio (for Claude Desktop)
letta-mcp --http       # HTTP transport
letta-mcp --sse        # SSE transport

Implementation Options

This repository provides three different implementations of the Letta MCP server, allowing you to choose the best option for your use case:

🔵 Classic Individual Tools (master branch)

Branch: master

The original implementation with individual tools for each API endpoint.

Best for:

Users who prefer individual, focused tools
Compatibility with existing integrations
Granular tool selection and control
Learning the Letta API one operation at a time

Docker Images:

# Latest master branch build
docker pull ghcr.io/oculairmedia/letta-mcp-server:master

Features:

70+ individual tools, each handling one specific operation
Direct mapping to Letta API endpoints
Simple, straightforward tool names
Full MCP protocol support (tools, prompts, resources)
Multiple transport protocols (HTTP, SSE, stdio)

🟢 Node.js Consolidated Tools (Recommended for most users)

Branch: nodejs-consolidated-tools

Modern implementation with 7 consolidated tools using the discriminator pattern.

Best for:

Production deployments
Claude Desktop integration
npm package consumers
Teams who want fewer tools with more functionality

Docker Images:

# Latest stable release
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest

# Specific version
docker pull ghcr.io/oculairmedia/letta-mcp-server:2.0.1

# Development branch
docker pull ghcr.io/oculairmedia/letta-mcp-server:nodejs-consolidated-tools

Features:

7 consolidated tools covering 87 operations
93% SDK coverage with official @letta-ai/letta-client
Discriminator pattern (use operation parameter)
Enhanced error handling and validation
Full MCP protocol support (tools, prompts, resources)
Comprehensive test suite and documentation

🦀 Rust Implementation (Performance-focused alternative)

Branch: rust-implementation

High-performance implementation built with Rust and the TurboMCP framework.

Best for:

Resource-constrained environments
Maximum performance requirements
Low memory footprint needs
Teams familiar with Rust

Docker Images:

# Latest Rust build
docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-latest

# Development branch
docker pull ghcr.io/oculairmedia/letta-mcp-server-rust:rust-implementation

Features:

Same 7 consolidated tools with full feature parity
Built on TurboMCP framework for MCP protocol
Compile-time type safety and validation
Lower memory usage and faster execution
Multi-architecture Docker builds (amd64, arm64)

Comparison

Feature	Classic (master)	Node.js Consolidated	Rust
Tool Count	70+ individual	7 consolidated	7 consolidated
API Pattern	One tool per endpoint	Discriminator pattern	Discriminator pattern
Maturity	✅ Original	✅ Production-ready	🟡 Stable, newer
Performance	Good	Good	Excellent
Memory Usage	~50-100MB	~50-100MB	~10-30MB
Startup Time	~1-2s	~1-2s	~100-500ms
SDK Integration	Direct API calls	93% official SDK	Custom API client
Type Safety	Runtime validation	TypeScript (runtime)	Rust (compile-time)
Package Manager	npm	npm	Docker/Cargo
Use Case	Simple, focused	Production, feature-rich	Performance-critical

Choosing an Implementation

Use Classic (master) if:

You prefer individual, single-purpose tools
You're already using the original implementation
You want simple, straightforward tool names
You're learning the Letta API

Use Node.js Consolidated if:

You need a battle-tested, production-ready solution
You want fewer tools with comprehensive functionality
You're using npm packages or Claude Desktop
You want SDK-powered reliability and type safety

Use Rust if:

You need maximum performance
You're running in resource-constrained environments (edge, embedded)
You prefer compile-time safety guarantees
You're comfortable with Docker-based deployment

All three implementations provide identical functionality and MCP protocol compliance. You can switch between them at any time without changing your Letta instance configuration.

Quick Setup

Option 1: Run from source

# Clone the repository
git clone https://github.com/oculairmedia/letta-MCP-server.git
cd letta-MCP-server

# Install dependencies
npm install

# Development
npm run dev         # Default (stdio) transport
npm run dev:sse     # SSE transport
npm run dev:http    # HTTP transport (recommended)

# Production
npm run start       # Default (stdio) transport
npm run start:sse   # SSE transport
npm run start:http  # HTTP transport (recommended)

Option 2: Run with Docker

Using the prebuilt image from GitHub Container Registry

Available tags:

latest - Latest stable release
2.0.1, 2.0, 2 - Specific version tags
master - Latest master branch build

# Pull the latest image
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest

# Run with environment variables
docker run -d \
  -p 3001:3001 \
  -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \
  -e LETTA_PASSWORD=your-secure-password \
  -e PORT=3001 \
  -e NODE_ENV=production \
  --name letta-mcp \
  ghcr.io/oculairmedia/letta-mcp-server:latest

# Or use a specific version
docker run -d \
  -p 3001:3001 \
  -e LETTA_BASE_URL=https://your-letta-instance.com/v1 \
  -e LETTA_PASSWORD=your-secure-password \
  --name letta-mcp \
  ghcr.io/oculairmedia/letta-mcp-server:2.0.1

Using Docker Compose

version: '3.8'
services:
  letta-mcp:
    image: ghcr.io/oculairmedia/letta-mcp-server:latest
    container_name: letta-mcp
    ports:
      - "3001:3001"
    environment:
      - LETTA_BASE_URL=https://your-letta-instance.com/v1
      - LETTA_PASSWORD=your-secure-password
      - PORT=3001
      - NODE_ENV=production
    restart: unless-stopped

Building from source

# Clone and build locally
git clone https://github.com/oculairmedia/letta-MCP-server.git
cd letta-MCP-server
docker build -t letta-mcp-server .
docker run -d -p 3001:3001 --env-file .env --name letta-mcp letta-mcp-server

Option 3: Run with stdio for local MCP

# Create startup script
chmod +x /opt/stacks/letta-MCP-server/start-mcp.sh

# Add to Claude
claude mcp add --transport stdio letta-tools "/opt/stacks/letta-MCP-server/start-mcp.sh"

Architecture

See the Architecture Documentation for detailed system diagrams and component relationships.

MCP Protocol Support

This server implements the full MCP specification with all three capabilities:

🔧 Tools

All tools include:

Enhanced Descriptions: Detailed explanations with use cases and best practices
Output Schemas: Structured response definitions for predictable outputs
Behavioral Annotations: Hints about tool behavior (readOnly, costLevel, executionTime, etc.)

💬 Prompts

Interactive prompts for common workflows:

letta_agent_wizard - Guided agent creation with memory and tool setup
letta_memory_optimizer - Analyze and optimize agent memory usage
letta_debug_assistant - Troubleshoot agent issues
letta_tool_config - Discover, attach, create, or audit tools
letta_migration - Export, import, upgrade, or clone agents

📚 Resources

Access system information and documentation:

letta://system/status - System health and version info
letta://system/models - Available LLM and embedding models
letta://agents/list - Overview of all agents
letta://tools/all/docs - Complete tool documentation with examples
letta://docs/mcp-integration - Integration guide
letta://docs/api-reference - API quick reference

Resource templates for dynamic content:

letta://agents/{agent_id}/config - Agent configuration
letta://agents/{agent_id}/memory/{block_id} - Memory block content
letta://tools/{tool_name}/docs - Individual tool documentation

Available Tools

Agent Management

Tool	Description	Annotations
`create_agent`	Create a new Letta agent	💰 Medium cost, ⚡ Fast
`list_agents`	List all available agents	👁️ Read-only, 💰 Low cost
`prompt_agent`	Send a message to an agent	💰 High cost, ⏱️ Variable time, 🔒 Rate limited
`retrieve_agent`	Get agent details by ID	👁️ Read-only, ⚡ Fast
`get_agent_summary`	Get agent summary information	👁️ Read-only, ⚡ Fast
`modify_agent`	Update an existing agent	✏️ Modifies state, ⚡ Fast
`delete_agent`	Delete an agent	⚠️ Dangerous, 🗑️ Permanent
`clone_agent`	Clone an existing agent	💰 Medium cost, ⏱️ Medium time
`bulk_delete_agents`	Delete multiple agents	⚠️ Dangerous, 📦 Bulk operation
`export_agent`	Export agent configuration and memory	👁️ Read-only, ⚡ Fast, 📦 Full backup
`import_agent`	Import agent from backup	💰 High cost, ⏱️ Slow, ✏️ Creates state

Memory Management

Tool	Description	Annotations
`list_memory_blocks`	List all memory blocks	👁️ Read-only, ⚡ Fast
`create_memory_block`	Create a new memory block	✏️ Creates state, ⚡ Fast
`read_memory_block`	Read a memory block	👁️ Read-only, ⚡ Fast
`update_memory_block`	Update a memory block	✏️ Modifies state, ⚡ Fast
`attach_memory_block`	Attach memory to an agent	✏️ Links resources, ⚡ Fast

Passage Management

Tool	Description	Annotations
`list_passages`	Search archival memory	👁️ Read-only, ⚡ Fast
`create_passage`	Create archival memory	💰 Medium cost (embeddings), ⚡ Fast
`modify_passage`	Update archival memory	💰 Medium cost (re-embedding), ⚡ Fast
`delete_passage`	Delete archival memory	🗑️ Permanent, ⚡ Fast

Tool Management

Tool	Description	Annotations
`list_agent_tools`	List tools for an agent	👁️ Read-only, ⚡ Fast
`attach_tool`	Attach tools to an agent	✏️ Modifies capabilities, ⚡ Fast
`upload_tool`	Upload a custom tool	🔒 Security: Executes code, ⚡ Fast
`bulk_attach_tool_to_agents`	Attach tool to multiple agents	📦 Bulk operation, ⏱️ Slow

Model Management

Tool	Description	Annotations
`list_llm_models`	List available LLM models	👁️ Read-only, ⚡ Fast
`list_embedding_models`	List available embedding models	👁️ Read-only, ⚡ Fast

MCP Integration

Tool	Description	Annotations
`list_mcp_servers`	List configured MCP servers	👁️ Read-only, ⚡ Fast
`list_mcp_tools_by_server`	List tools from an MCP server	👁️ Read-only, ⚡ Fast
`add_mcp_tool_to_letta`	Import MCP tool to Letta	✏️ Creates tool, ⚡ Fast

Prompt Tools

Tool	Description	Annotations
`list_prompts`	List available prompt templates	👁️ Read-only, ⚡ Fast
`use_prompt`	Execute a prompt template	💰 Variable cost, ⏱️ Variable time

Directory Structure

src/index.js - Main entry point
src/core/ - Core server functionality
src/handlers/ - Prompt and resource handlers
src/examples/ - Example prompts and resources
src/tools/ - Tool implementations organized by category:
- agents/ - Agent management tools
- memory/ - Memory block tools
- passages/ - Passage management tools
- tools/ - Tool attachment and management
- mcp/ - MCP server integration tools
- models/ - Model listing tools
- enhanced-descriptions.js - Detailed tool descriptions
- output-schemas.js - Structured output definitions
- annotations.js - Behavioral hints
src/transports/ - Server transport implementations

Transport Protocols

The server supports three transport protocols:

HTTP (Recommended) - Streamable HTTP transport with full duplex communication
- Endpoint: http://your-server:3001/mcp
- Best for production use and remote connections
- Supports health checks at /health
SSE (Server-Sent Events) - Real-time event streaming
- Endpoint: http://your-server:3001/sse
- Good for unidirectional server-to-client updates
stdio - Standard input/output
- Direct process communication
- Best for local development and Claude integration

Configuration with MCP Settings

Add the server to your mcp_settings.json:

"letta": {
  "command": "node",
  "args": [
    "--no-warnings",
    "--experimental-modules",
    "path/to/letta-server/src/index.js"
  ],
  "env": {
    "LETTA_BASE_URL": "https://your-letta-instance.com",
    "LETTA_PASSWORD": "yourPassword"
  },
  "disabled": false,
  "alwaysAllow": [
    "upload_tool",
    "attach_tool",
    "list_agents",
    "list_memory_blocks"
  ],
  "timeout": 300
}

For remote instances with HTTP transport (recommended):

"remote_letta_tools": {
  "url": "http://your-server:3001/mcp",
  "transport": "http",
  "disabled": false,
  "alwaysAllow": [
    "attach_tool", 
    "list_agents",
    "list_tools",
    "get_agent"
  ],
  "timeout": 120
}

Docker Operations

# View container logs
docker logs -f letta-mcp

# Stop the container
docker stop letta-mcp

# Update to latest version
docker pull ghcr.io/oculairmedia/letta-mcp-server:latest
docker stop letta-mcp
docker rm letta-mcp
docker run -d -p 3001:3001 -e PORT=3001 -e NODE_ENV=production --name letta-mcp ghcr.io/oculairmedia/letta-mcp-server:latest

Troubleshooting

Common Issues

Connection refused errors
- Ensure the server is running and accessible
- Check firewall settings for port 3001
- Verify the correct transport protocol is being used
Authentication failures
- Verify LETTA_BASE_URL includes /v1 suffix
- Check LETTA_PASSWORD is correct
- Ensure environment variables are loaded
- When self-hosting the Letta-Server, set environment variables accordingly:
```
"env": {
   "LETTA_BASE_URL": "http://localhost:8283",
   "LETTA_PASSWORD": "",
   "LOG_LEVEL": "info"
 }
```
Tool execution timeouts
- Increase timeout values in MCP configuration
- Check network latency for remote connections
- Consider using HTTP transport for better reliability

Health Check

The HTTP transport provides a health endpoint:

curl http://your-server:3001/health

Response:

{
  "status": "healthy",
  "transport": "streamable_http",
  "protocol_version": "2025-06-18",
  "sessions": 0,
  "uptime": 12345.678
}

Development

Testing

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Run linter
npm run lint

Contributing

We welcome contributions! Please see our Contributing Guide for details on:

Development setup
Code style and standards
Adding new tools
Testing requirements
Pull request process

Security

For security vulnerabilities, please see our Security Policy.

License

MIT License - see LICENSE file for details