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OpenRouter MCP Server

OpenRouter MCP Server

by praxeo

OpenRouter MCP Server

A Model Context Protocol (MCP) server that provides access to OpenRouter's extensive collection of 400+ AI models through Claude.

Features

  • 🤖 Access to 400+ language models including GPT-4, Claude, Gemini, Llama, and more

  • 🔍 List and search available models with pricing information

  • 💬 Chat with any model through a unified interface

  • 🔄 Compare responses from multiple models side-by-side

  • 📊 Get detailed model information including context limits and capabilities

  • 📄 NEW: Parallel document analysis with smart chunking and synthesis

  • 🔧 Seamless integration with Claude Desktop and Claude Code

Related MCP server: OpenRouter MCP Server

Installation

# Clone the repository
git clone https://github.com/th3nolo/openrouter-mcp.git
cd openrouter-mcp

# Install dependencies
npm install
# or
yarn install

# Build the TypeScript code
npm run build
# or
yarn build

Configuration

  1. Get your OpenRouter API key from OpenRouter

  2. Copy .env.example to .env:

    cp .env.example .env
  3. Edit .env and add your API key:

    OPENROUTER_API_KEY=your_api_key_here

Usage

Available MCP Tools

  • list_models - Get a list of all available models with pricing

  • chat_with_model - Send a message to a specific model

    • Parameters: model, message, max_tokens, temperature, system_prompt

  • compare_models - Compare responses from multiple models

    • Parameters: models[], message, max_tokens

  • get_model_info - Get detailed information about a specific model

    • Parameters: model

  • analyze_document - Analyze large documents using parallel processing

    • Parameters: document, query, analysis_type (search/summarize/extract/qa), chunk_size, parallel_instances

    • Default model: google/gemma-3n-e4b-it (optimized for cost and performance)

Available MCP Resources

  • openrouter://models - List of all available models with pricing

  • openrouter://pricing - Current pricing information for all models

  • openrouter://usage - Your OpenRouter usage statistics

Claude Code Integration

Add the server to Claude Code:

claude mcp add openrouter -s user \
  -e OPENROUTER_API_KEY=your_api_key_here \
  -- node /path/to/openrouter-mcp/dist/server.js

Or add it manually to your Claude Desktop configuration:

{
  "mcpServers": {
    "openrouter": {
      "command": "node",
      "args": ["/path/to/openrouter-mcp/dist/server.js"],
      "env": {
        "OPENROUTER_API_KEY": "your_api_key_here"
      }
    }
  }
}

Example Usage

Once configured, you can use these commands in Claude:

"List all available Gemma models"
"Chat with gpt-4 and ask it to explain quantum computing"
"Compare responses from claude-3-opus and gpt-4 about climate change"
"Get detailed information about google/gemini-pro"
"Analyze this document and extract all key dates and milestones"
"Search this research paper for information about methodology"
"Summarize this 100-page report focusing on recommendations"

Document Analysis Examples

The new analyze_document tool supports:

  • Summarization: Create comprehensive summaries of large documents

  • Search: Find specific information across document sections

  • Extraction: Extract structured data like dates, names, or custom targets

  • Q&A: Answer multiple questions about document content

Example: Analyzing a 100K character document costs only ~$0.0005 using Gemma!

Development

# Run in development mode
npm run dev

# Run tests
npm test

# Lint code
npm run lint

# Type check
npm run typecheck

Environment Variables

  • OPENROUTER_API_KEY - Your OpenRouter API key (required)

  • OPENROUTER_BASE_URL - API base URL (default: https://openrouter.ai/api/v1)

  • OPENROUTER_SITE_URL - Your site URL for API attribution

  • OPENROUTER_APP_NAME - Application name for API headers

Security

  • API keys are stored in environment variables only

  • The .env file is excluded from version control

  • Never commit your API keys to the repository

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Available Tools

5 tools
analyze_documentA

Analyze large documents using parallel processing with multiple model instances

Inputs: document (required), model, query, overlap, +5 more.

chat_with_modelB

Send a message to a specific OpenRouter model

Inputs: model (required), message (required), max_tokens, temperature, +1 more.

compare_modelsC

Compare responses from multiple models

Inputs: models (required), message (required), max_tokens.

get_model_infoC

Get detailed information about a specific model

Inputs: model (required).

list_modelsB

Get list of available OpenRouter models

Inputs: no named parameters.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct action: document analysis, chat, model comparison, model info retrieval, and listing. There is no overlap in purpose.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (e.g., analyze_document, chat_with_model), making the naming predictable and easy to understand.

    Tool Count5/5

    Five tools is a concise yet comprehensive set for interacting with an AI model provider like OpenRouter. Each tool serves a clear role without unnecessary duplication.

    Completeness4/5

    The tools cover core operations (listing, info, chat, comparison, document analysis). A minor gap is the lack of streaming or parameter configuration options, but the set is functional for typical use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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