Birdeye MCP Server
Provides comprehensive token, market, wallet, NFT, and DEX data on the Solana blockchain through Birdeye APIs.
Click on "Deploy 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., "@Birdeye MCP Serverwhat's the current price of SOL?"
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.
Birdeye MCP Server
A Model Context Protocol (MCP) server implementation for the Birdeye APIs. This server acts as a middleware between AI models and the Birdeye blockchain data APIs, providing context about tokens, markets, wallets, NFTs, and more on the Solana blockchain.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a standardized way for AI models to request and receive contextual information from external data sources. This implementation focuses on providing blockchain and crypto-specific context from Birdeye's APIs.
Related MCP server: Bankless Onchain MCP Server
Features
Token information and prices
Market data and analytics
Wallet portfolio tracking
NFT collections and items
DEX pools and liquidity
MCP-friendly endpoints for AI context generation
Prerequisites
Node.js (v14+ recommended)
Birdeye API key (get one from Birdeye)
Installation
Standard Installation
Clone this repository
git clone <repository-url> cd birdeye-mcp-serverInstall dependencies
npm installConfigure environment variables
cp .env.example .envThen edit the
.envfile and add your Birdeye API key.
Docker Installation
Clone this repository
git clone <repository-url> cd birdeye-mcp-serverConfigure environment variables
cp .env.example .envThen edit the
.envfile and add your Birdeye API key.Build and start with Docker Compose
docker-compose up -d
Usage
Start the server (Standard)
npm startThe server will run on port 3000 by default (configurable in .env).
Start the server (Docker)
docker-compose up -dTo view logs:
docker-compose logs -fTo stop the server:
docker-compose downAPI Endpoints
Standard Birdeye Endpoints
GET /token/:network/:address- Get token informationGET /price/:network/:address- Get token priceGET /price/history/:network/:address- Get token price historyGET /market/:network/:address- Get market informationGET /tokens/top/:network- Get top tokensGET /token/:network/:address/holders- Get token holdersGET /token/:network/:address/transfers- Get token transfersGET /wallet/:network/:address- Get wallet portfolioGET /wallet/:network/:address/tokens- Get wallet tokensGET /nft/collections/:network- Get NFT collectionsGET /nft/collection/:network/:address- Get NFT collection infoGET /nft/item/:network/:address- Get NFT item infoGET /dex/pools/:network- Get DEX poolsGET /dex/pool/:network/:address- Get DEX pool info
MCP-Specific Endpoints
POST /mcp/token- Get comprehensive token context{ "network": "solana", "address": "token_address", "context": "optional query context" }POST /mcp/wallet- Get comprehensive wallet context{ "network": "solana", "address": "wallet_address", "context": "optional query context" }POST /mcp/market- Get market overview context{ "network": "solana", "context": "optional query context" }
Integrating with AI Models
To use this MCP server with AI models:
Set up the server and ensure it's accessible to your AI system
Configure your AI to make appropriate requests to the MCP endpoints
Parse the contextual information and incorporate it into your model's responses
Example integration:
// From your AI application
async function getBirdeyeContext(tokenAddress) {
const response = await fetch('http://your-mcp-server/mcp/token', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-KEY': 'your_api_key'
},
body: JSON.stringify({
network: 'solana',
address: tokenAddress,
context: 'User is asking about token price and market cap'
})
});
return await response.json();
}License
MIT
Integration with Claude or Other MCP-Compatible Agents
To use the Birdeye MCP Server with Claude or any agent that supports the Model Context Protocol (MCP), you can provide the following configuration file (e.g., claude-mcp-server-config.json) to your agent:
{
"servers": [
{
"name": "Birdeye MCP Server",
"description": "Model Context Protocol server for Birdeye APIs",
"command": "node",
"args": ["server.js"],
"env": {
"BIRDEYE_API_KEY": "your_birdeye_api_key_here",
"PORT": "3000"
},
"endpoints": [
{"path": "/mcp/token", "method": "POST", "description": "Get comprehensive token context"},
{"path": "/mcp/wallet", "method": "POST", "description": "Get comprehensive wallet context"},
{"path": "/mcp/market", "method": "POST", "description": "Get market overview context"}
]
}
]
}Usage Instructions
Ensure you have set your Birdeye API key in the configuration file above.
Start the MCP server:
npm install npm startPoint your Claude agent (or other MCP-compatible agent) to use the above configuration file.
The agent will be able to call the
/mcp/token,/mcp/wallet, and/mcp/marketendpoints for context-aware queries.
For more details, refer to the claude-mcp-server-config.json file and the API endpoint documentation above.
This server cannot be deployed
Maintenance
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