Reka Research MCP Server
OfficialClick on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Reka Research MCP ServerVerify the claim: Paris is the capital of France."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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!

Prerequisites
Get your Reka API key at platform.reka.ai
Your API key should have access to
reka-flash-researchmodel
Related MCP server: Exa MCP Server
🚀 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 verifyOutput: 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 forattribute(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-researchmodelConnection issues: Verify the server URL is correct:
https://mcp-server-nine-bice.vercel.app/mcpTool 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_KEYenvironment 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 devAvailable 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 VercelLocal 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.mjsDeployment
The server is automatically deployed to Vercel. For manual deployment:
pnpm run deployThis server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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