Fetch JSONPath MCP

A Model Context Protocol (MCP) server that provides tools for fetching JSON data and web content from URLs. Features intelligent content extraction, multiple HTTP methods, and browser-like headers for reliable web scraping.

🎯 Why Use This?

Reduce LLM Token Usage & Hallucination - Instead of fetching entire JSON responses and wasting tokens, extract only the data you need.

Traditional Fetch vs JSONPath Extract

❌ Traditional fetch (wasteful):

// API returns 2000+ tokens
{
  "data": [
    {
      "id": 1,
      "name": "Alice",
      "email": "alice@example.com", 
      "avatar": "https://...",
      "profile": {
        "bio": "Long bio text...",
        "settings": {...},
        "preferences": {...},
        "metadata": {...}
      },
      "posts": [...],
      "followers": [...],
      "created_at": "2023-01-01",
      "updated_at": "2024-01-01"
    },
    // ... 50 more users
  ],
  "pagination": {...},
  "meta": {...}
}

✅ JSONPath extract (efficient):

// Only 10 tokens - exactly what you need!
["Alice", "Bob", "Charlie"]

Using pattern: data[*].name saves 99% tokens and eliminates model hallucination from irrelevant data.

Installation

For most IDEs, use the uvx tool to run the server.

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": [
        "fetch-jsonpath-mcp"
      ]
    }
  }
}

Install in Claude Code

claude mcp add fetch-jsonpath-mcp -- uvx fetch-jsonpath-mcp

Install in Cursor

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Local Server Connection

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Install in VS Code

"mcp": {
  "servers": {
    "fetch-jsonpath-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Development Setup

1. Install Dependencies

uv sync

2. Start Demo Server (Optional)

# Install demo server dependencies
uv add fastapi uvicorn

# Start demo server on port 8080
uv run demo-server

3. Run MCP Server

uv run fetch-jsonpath-mcp

Demo Server Data

The demo server at http://localhost:8080 returns:

{
  "foo": [{"baz": 1, "qux": "a"}, {"baz": 2, "qux": "b"}],
  "bar": {
    "items": [10, 20, 30], 
    "config": {"enabled": true, "name": "example"}
  },
  "metadata": {"version": "1.0.0"}
}

Available Tools

`fetch-json`

Extract JSON data using JSONPath patterns with support for all HTTP methods.

{
  "name": "fetch-json",
  "arguments": {
    "url": "http://localhost:8080",
    "pattern": "foo[*].baz",
    "method": "GET"
  }
}

Returns: [1, 2]

Parameters:

url (required): Target URL
pattern (optional): JSONPath pattern for data extraction
method (optional): HTTP method (GET, POST, PUT, DELETE, etc.) - Default: "GET"
data (optional): Request body for POST/PUT requests
headers (optional): Additional HTTP headers

`fetch-text`

Fetch web content with intelligent text extraction. Defaults to Markdown format for better readability.

{
  "name": "fetch-text",
  "arguments": {
    "url": "http://localhost:8080",
    "output_format": "clean_text"
  }
}

Returns: Clean text representation of the JSON data

Output Formats:

"markdown" (default): Converts HTML to clean Markdown format
"clean_text": Pure text with HTML tags removed
"raw_html": Original HTML content

Parameters:

url (required): Target URL
method (optional): HTTP method - Default: "GET"
data (optional): Request body for POST/PUT requests
headers (optional): Additional HTTP headers
output_format (optional): Output format - Default: "markdown"

`batch-fetch-json`

Process multiple URLs with different JSONPath patterns concurrently.

{
  "name": "batch-fetch-json",
  "arguments": {
    "requests": [
      {"url": "http://localhost:8080", "pattern": "foo[*].baz"},
      {"url": "http://localhost:8080", "pattern": "bar.items[*]"}
    ]
  }
}

Returns: [{"url": "http://localhost:8080", "pattern": "foo[*].baz", "success": true, "content": [1, 2]}, {"url": "http://localhost:8080", "pattern": "bar.items[*]", "success": true, "content": [10, 20, 30]}]

Request Object Parameters:

url (required): Target URL
pattern (optional): JSONPath pattern
method (optional): HTTP method - Default: "GET"
data (optional): Request body
headers (optional): Additional HTTP headers

`batch-fetch-text`

Fetch content from multiple URLs with intelligent text extraction.

{
  "name": "batch-fetch-text",
  "arguments": {
    "requests": [
      "http://localhost:8080",
      {"url": "http://localhost:8080", "output_format": "raw_html"}
    ],
    "output_format": "markdown"
  }
}

Returns: [{"url": "http://localhost:8080", "success": true, "content": "# Demo Server Data\n\n..."}, {"url": "http://localhost:8080", "success": true, "content": "{\"foo\": [{\"baz\": 1, \"qux\": \"a\"}, {\"baz\": 2, \"qux\": \"b\"}]..."}]

Supports:

Simple URL strings
Full request objects with custom methods and headers
Mixed input types in the same batch

JSONPath Examples

This project uses jsonpath-ng for JSONPath implementation.

Pattern	Result	Description
`foo[*].baz`	`[1, 2]`	Get all baz values
`bar.items[*]`	`[10, 20, 30]`	Get all items
`metadata.version`	`["1.0.0"]`	Get version

For complete JSONPath syntax reference, see the jsonpath-ng documentation.

🚀 Performance Benefits

Token Efficiency: Extract only needed data, not entire JSON responses
Faster Processing: Smaller payloads = faster LLM responses
Reduced Hallucination: Less irrelevant data = more accurate outputs
Cost Savings: Fewer tokens = lower API costs
Better Focus: Clean data helps models stay on task
Smart Headers: Default browser headers prevent blocking and improve access
Markdown Conversion: Clean, readable format that preserves structure

Configuration

Set environment variables to customize behavior:

# Request timeout in seconds (default: 10.0)
export JSONRPC_MCP_TIMEOUT=30

# SSL verification (default: true)
export JSONRPC_MCP_VERIFY=false

# Follow redirects (default: true)
export JSONRPC_MCP_FOLLOW_REDIRECTS=true

# Custom headers (will be merged with default browser headers)
export JSONRPC_MCP_HEADERS='{"Authorization": "Bearer token"}'

# HTTP proxy configuration
export JSONRPC_MCP_PROXY="http://proxy.example.com:8080"

Default Browser Headers: The server automatically includes realistic browser headers to prevent blocking:

User-Agent: Chrome browser simulation
Accept: Standard browser content types
Accept-Language, Accept-Encoding: Browser defaults
Security headers: Sec-Fetch-* headers for modern browsers

Custom headers in JSONRPC_MCP_HEADERS will override defaults when there are conflicts.

Development

# Run tests
pytest

# Check code quality
ruff check --fix

# Build and test locally
uv build

What's New in v1.1.0

✨ Multi-Method HTTP Support: GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS
🔄 Tool Renaming: get-json → fetch-json, get-text → fetch-text
📄 Markdown Conversion: Default HTML to Markdown conversion with markdownify
🌐 Smart Browser Headers: Automatic browser simulation headers
🎛️ Format Control: Three output formats for text content (markdown, clean_text, raw_html)
🚀 Enhanced Batch Processing: Support for different methods in batch operations

Fetch JSONPath MCP

🎯 Why Use This?

Reduce LLM Token Usage & Hallucination - Instead of fetching entire JSON responses and wasting tokens, extract only the data you need.

Traditional Fetch vs JSONPath Extract

❌ Traditional fetch (wasteful):

// API returns 2000+ tokens
{
  "data": [
    {
      "id": 1,
      "name": "Alice",
      "email": "alice@example.com", 
      "avatar": "https://...",
      "profile": {
        "bio": "Long bio text...",
        "settings": {...},
        "preferences": {...},
        "metadata": {...}
      },
      "posts": [...],
      "followers": [...],
      "created_at": "2023-01-01",
      "updated_at": "2024-01-01"
    },
    // ... 50 more users
  ],
  "pagination": {...},
  "meta": {...}
}

✅ JSONPath extract (efficient):

// Only 10 tokens - exactly what you need!
["Alice", "Bob", "Charlie"]

Using pattern: data[*].name saves 99% tokens and eliminates model hallucination from irrelevant data.

Installation

For most IDEs, use the uvx tool to run the server.

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": [
        "fetch-jsonpath-mcp"
      ]
    }
  }
}

Install in Claude Code

claude mcp add fetch-jsonpath-mcp -- uvx fetch-jsonpath-mcp

Install in Cursor

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Install in Windsurf

Add this to your Windsurf MCP config file. See Windsurf MCP docs for more info.

Windsurf Local Server Connection

{
  "mcpServers": {
    "fetch-jsonpath-mcp": {
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Install in VS Code

"mcp": {
  "servers": {
    "fetch-jsonpath-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": ["fetch-jsonpath-mcp"]
    }
  }
}

Development Setup

1. Install Dependencies

uv sync

2. Start Demo Server (Optional)

# Install demo server dependencies
uv add fastapi uvicorn

# Start demo server on port 8080
uv run demo-server

3. Run MCP Server

uv run fetch-jsonpath-mcp

Demo Server Data

The demo server at http://localhost:8080 returns:

{
  "foo": [{"baz": 1, "qux": "a"}, {"baz": 2, "qux": "b"}],
  "bar": {
    "items": [10, 20, 30], 
    "config": {"enabled": true, "name": "example"}
  },
  "metadata": {"version": "1.0.0"}
}

Available Tools

`fetch-json`

Extract JSON data using JSONPath patterns with support for all HTTP methods.

{
  "name": "fetch-json",
  "arguments": {
    "url": "http://localhost:8080",
    "pattern": "foo[*].baz",
    "method": "GET"
  }
}

Returns: [1, 2]

Parameters:

url (required): Target URL
pattern (optional): JSONPath pattern for data extraction
method (optional): HTTP method (GET, POST, PUT, DELETE, etc.) - Default: "GET"
data (optional): Request body for POST/PUT requests
headers (optional): Additional HTTP headers

`fetch-text`

Fetch web content with intelligent text extraction. Defaults to Markdown format for better readability.

{
  "name": "fetch-text",
  "arguments": {
    "url": "http://localhost:8080",
    "output_format": "clean_text"
  }
}

Returns: Clean text representation of the JSON data

Output Formats:

"markdown" (default): Converts HTML to clean Markdown format
"clean_text": Pure text with HTML tags removed
"raw_html": Original HTML content

Parameters:

url (required): Target URL
method (optional): HTTP method - Default: "GET"
data (optional): Request body for POST/PUT requests
headers (optional): Additional HTTP headers
output_format (optional): Output format - Default: "markdown"

`batch-fetch-json`

Process multiple URLs with different JSONPath patterns concurrently.

{
  "name": "batch-fetch-json",
  "arguments": {
    "requests": [
      {"url": "http://localhost:8080", "pattern": "foo[*].baz"},
      {"url": "http://localhost:8080", "pattern": "bar.items[*]"}
    ]
  }
}

Request Object Parameters:

url (required): Target URL
pattern (optional): JSONPath pattern
method (optional): HTTP method - Default: "GET"
data (optional): Request body
headers (optional): Additional HTTP headers

`batch-fetch-text`

Fetch content from multiple URLs with intelligent text extraction.

{
  "name": "batch-fetch-text",
  "arguments": {
    "requests": [
      "http://localhost:8080",
      {"url": "http://localhost:8080", "output_format": "raw_html"}
    ],
    "output_format": "markdown"
  }
}

Supports:

Simple URL strings
Full request objects with custom methods and headers
Mixed input types in the same batch

JSONPath Examples

This project uses jsonpath-ng for JSONPath implementation.

Pattern	Result	Description
`foo[*].baz`	`[1, 2]`	Get all baz values
`bar.items[*]`	`[10, 20, 30]`	Get all items
`metadata.version`	`["1.0.0"]`	Get version

For complete JSONPath syntax reference, see the jsonpath-ng documentation.

🚀 Performance Benefits

Token Efficiency: Extract only needed data, not entire JSON responses
Faster Processing: Smaller payloads = faster LLM responses
Reduced Hallucination: Less irrelevant data = more accurate outputs
Cost Savings: Fewer tokens = lower API costs
Better Focus: Clean data helps models stay on task
Smart Headers: Default browser headers prevent blocking and improve access
Markdown Conversion: Clean, readable format that preserves structure

Configuration

Set environment variables to customize behavior:

# Request timeout in seconds (default: 10.0)
export JSONRPC_MCP_TIMEOUT=30

# SSL verification (default: true)
export JSONRPC_MCP_VERIFY=false

# Follow redirects (default: true)
export JSONRPC_MCP_FOLLOW_REDIRECTS=true

# Custom headers (will be merged with default browser headers)
export JSONRPC_MCP_HEADERS='{"Authorization": "Bearer token"}'

# HTTP proxy configuration
export JSONRPC_MCP_PROXY="http://proxy.example.com:8080"

Default Browser Headers: The server automatically includes realistic browser headers to prevent blocking:

User-Agent: Chrome browser simulation
Accept: Standard browser content types
Accept-Language, Accept-Encoding: Browser defaults
Security headers: Sec-Fetch-* headers for modern browsers

Custom headers in JSONRPC_MCP_HEADERS will override defaults when there are conflicts.

Development

# Run tests
pytest

# Check code quality
ruff check --fix

# Build and test locally
uv build

What's New in v1.1.0

✨ Multi-Method HTTP Support: GET, POST, PUT, DELETE, PATCH, HEAD, OPTIONS
🔄 Tool Renaming: get-json → fetch-json, get-text → fetch-text
📄 Markdown Conversion: Default HTML to Markdown conversion with markdownify
🌐 Smart Browser Headers: Automatic browser simulation headers
🎛️ Format Control: Three output formats for text content (markdown, clean_text, raw_html)
🚀 Enhanced Batch Processing: Support for different methods in batch operations