reka-ai/reka-research-mcp

reka-ai/reka-research-mcp

Description: MCP server for fact-checking and similarity search using Reka Research API.

Language: TypeScript

Stars: 6

Forks: 1

Open issues: 0

Created: 2025-07-31T05:02:23Z

Pushed: 2025-09-29T10:33:44Z

Default branch: main

Fork: no

Archived: no

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!

[](https://link.reka.ai/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": ""
}
}
}
}

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