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@iflow-mcp/reka-ai-reka-research-mcp

v0.0.1

Published

Reka Research MCP Server - Agentic analysis tools including fact-checking, claim verification, and similarity search

Downloads

8

Readme

Reka Research MCP Server

A Model Context Protocol (MCP) server providing AI-powered fact-checking and similarity search using Reka Research API. This server is hosted remotely and ready to use - no local installation required!

Join our Discord

Prerequisites

  • Get your Reka API key at platform.reka.ai
  • Your API key should have access to reka-flash-research model

🚀 Using the Hosted MCP Server

The Reka Research MCP server is hosted at https://mcp-server-nine-bice.vercel.app/mcp and ready to use. Simply configure your MCP client to connect to this endpoint.

Claude Desktop

Add this configuration to your Claude Desktop claude_desktop_config.json file:

{
  "mcpServers": {
    "reka-research": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://reka-research-mcp.vercel.app/mcp",
        "--header",
        "Authorization: Bearer $REKA_API_KEY"
      ],
      "env": {
        "REKA_API_KEY": "<your-reka-api-key-here>"
      }
    }
  }
}

VS Code with MCP Extension

Configure the MCP extension in VS Code by adding this to your settings:

{
    "servers": {
        "reka-research": {
            "url": "https://mcp-server-nine-bice.vercel.app/mcp",
            "type": "http", 
            "headers": {
                "Authorization": "Bearer ${input:reka-api-key}"
            }
        }
    },
    "inputs": [
        {
            "type": "promptString",
            "id": "reka-api-key",
            "description": "Reka API Key",
            "password": true
        }
    ]
}

🛠️ Available Tools

verify_claim

Fact-check statements and claims using advanced AI analysis.

  • Input: claim (string) - The statement to verify
  • Output: JSON with verdict (true/false/uncertain), confidence score (0-1), and detailed reasoning

Example usage:

Can you verify this claim: "The Great Wall of China is visible from space with the naked eye"

find_similar

Find similar items based on specific attributes using agentic analysis.

  • Input:

    • target (string) - The item to find similarities for
    • attribute (string) - The comparison attribute (e.g., "functionality", "style", "purpose")
  • Output: Analysis with similar items and explanations

Example usage:

Find items similar to "ChatGPT" based on "functionality"

🔧 Troubleshooting

  • Authentication errors: Ensure your Reka API key is valid and has access to the reka-flash-research model
  • Connection issues: Verify the server URL is correct: https://mcp-server-nine-bice.vercel.app/mcp
  • Tool not found: Make sure your MCP client supports the tools interface

🏠 Local Development

For developers who want to run the server locally or contribute to the project.

Prerequisites

  • Node.js 18+
  • pnpm package manager
  • Reka API key (set as REKA_API_KEY environment variable)

Setup

# Clone the repository
git clone  https://github.com/reka-ai/reka-research-mcp.git

# Install dependencies
pnpm install

# Set your API key
export REKA_API_KEY="your-reka-api-key"

# Start development server
pnpm run dev

Available Scripts

pnpm install           # Install dependencies
pnpm run build         # Type check the code
pnpm run test          # Test with remote server
pnpm run test:http     # Test HTTP endpoints locally
pnpm run deploy        # Deploy to Vercel

Local Testing

Test the local server:

# Start local development server (usually on port 3000)
pnpm run dev

# In another terminal, test the MCP endpoints
node scripts/test-client.mjs http://localhost:3000

# Test HTTP endpoints directly
node scripts/test-streamable-http-client.mjs

Deployment

The server is automatically deployed to Vercel. For manual deployment:

pnpm run deploy