Cortensor MCP
An MCP server that plugs Claude, Cursor, and other AI assistants directly into Cortensor's decentralized inference network. Session persistence, task orchestration, and validation tools included.
Why Cortensor MCP?
The Problem
AI agents lack:
- Persistent memory across conversations
- Access to decentralized inference networks
- Structured task orchestration tools
- Built-in validation and consistency checking
Our Solution
Cortensor MCP provides a unified interface that:
- Persists session memory using Cloudflare Durable Objects
- Connects AI assistants to Cortensor's decentralized network
- Orchestrates tasks with structured routing (analyze, summarize, extract, generate, validate, decide, plan)
- Validates outputs against rubrics and checks for logical consistency
Result: AI agents gain persistent memory, decentralized inference capabilities, and powerful validation tools—all through a single MCP server.
Creating a Persistent Session
Create a new session for my research project with initial context about blockchain analysis
Routing Tasks to Cortensor
Analyze this smart contract code and identify potential security issues
Validating Content Against a Rubric
Validate this documentation against criteria: clarity, completeness, and accuracy
Features
| Tool | Description |
|---|---|
| session_create | Create or retrieve an agent session with persistent memory |
| session_remember | Store information in session memory for later recall |
| session_recall | Retrieve stored information from a session |
| task_route | Route structured tasks to Cortensor with output formatting |
| validate_rubric | Validate content against a weighted scoring rubric |
| validate_consistency | Check content for contradictions and logical issues |
| research_analyze | Analyze code, docs, or issues and extract actionable items |
| research_summarize | Generate digest, changelog, or status reports from multiple items |
| cortensor_status | Check Cortensor network connectivity and latency |
| cortensor_infer | Direct inference request to Cortensor network |
Setup Guide
1. Clone and Install
git clone https://github.com/SuReaper/cortensor-mcp.git
cd cortensor-mcp
npm install
2. Run Locally or Deploy
# Local development
npx wrangler dev
# Production deployment
npx wrangler deploy
MCP Configuration
Add to your MCP settings (Roo Code / Cline / Claude Desktop):
{
"mcpServers": {
"cortensor": {
"type": "sse",
"url": "https://your-worker.workers.dev/sse",
"alwaysAllow": [
"session_create",
"session_remember",
"session_recall",
"task_route",
"validate_rubric",
"validate_consistency",
"research_analyze",
"research_summarize",
"cortensor_status",
"cortensor_infer"
],
"timeout": 300
}
}
}
Task Types
| Type | Behavior |
|---|---|
analyze | Identify patterns and insights |
summarize | Concise summary, preserve key info |
extract | Extract data points and entities |
generate | Generate content from requirements |
validate | Check correctness, flag issues |
decide | Reasoned decision with explanation |
plan | Actionable steps with priorities |