Birdeye Server
FreeNot checkedProvides blockchain data context from Birdeye APIs for AI models via Model Context Protocol, enabling token, market, wallet, NFT, and DEX pool queries on Solana
About
Provides blockchain data context from Birdeye APIs for AI models via Model Context Protocol, enabling token, market, wallet, NFT, and DEX pool queries on Solana.
README
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.
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 start
The server will run on port 3000 by default (configurable in .env).
Start the server (Docker)
docker-compose up -d
To view logs:
docker-compose logs -f
To stop the server:
docker-compose down
API 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 start - Point 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.
Installing Birdeye Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/aiopinions/birdeye-mcp-serverFAQ
Is Birdeye Server MCP free?
Yes, Birdeye Server MCP is free — one-click install via Unyly at no cost.
Does Birdeye Server need an API key?
No, Birdeye Server runs without API keys or environment variables.
Is Birdeye Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Birdeye Server in Claude Desktop, Claude Code or Cursor?
Open Birdeye Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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