The Birdeye MCP Server is now officially live—bringing real-time, on-chain crypto data directly to AI models and intelligent applications. With Birdeye MCP, you can power your systems with:
- Live discovery of trending tokens, new launches, top movers, and hot pools across the Web3 space
- Rich metadata including token logos, descriptions, categories, links, contract addresses, and safety signals
- Complete historical datasets with price, volume, and OHLCV for robust analysis and backtesting
Getting Started
Set your API Key ready and let's get started! The MCP Server's tools are available as per our API Documentation.
Important Notes:
- API key is required for all integrations
- Most MCP-compatible clients can be configured using a JSON config file (commonly named
mcp_config.json, but this varies by client) - Local MCP Server is a Work in Progress—we will announce it as soon as it's ready
Integration
Claude Desktop
- Download and install Claude Desktop
- Obtain your Birdeye API key from the Birdeye Developer Portal
Configuration Steps
-
Locate your Claude Desktop config file at:
-
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json -
Windows:
%APPDATA%\Claude\claude_desktop_config.json
-
macOS:
- Edit the configuration file to include the Birdeye MCP server:
{
"mcpServers": {
"birdeye-api-mcp": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://dev-mcp.birdeye.so/mcp",
"--header",
"x-api-key: <YOUR_API_KEY>"
],
"env": {
"AUTH_TOKEN": "xxxx"
}
}
}
}
-
Replace placeholders with your actual credentials:
-
<YOUR_API_KEY>: Your Birdeye API key -
your-auth-token-here: Your authentication token
-
- Restart Claude Desktop to apply the configuration
After restarting, you will see all the Birdeye tools available under Claude Tools, enabling you to query real-time crypto data directly within your conversations.
Claude Usage Limitations
If you're using the free version of Claude, you may hit message limits easily due to the data-intensive nature of crypto queries. We recommend subscribing to Claude Pro for:
- Higher message limits
- Increased usage allowances
- Better performance with data-heavy operations
OpenAI API Platform
The Birdeye MCP Server also integrates seamlessly with ChatGPT through OpenAI's platform, giving you access to real-time crypto data within your ChatGPT workflows.
Prerequisites
- Active OpenAI API account with available credits
- Birdeye API key
Setup Instructions
- Access OpenAI Platform: Login to your OpenAI API Platform
- Check Your Dashboard: Ensure you have sufficient API credits available. Note that API usage requires paid credits.
-
Create Custom GPT or Assistant:
- Navigate to your OpenAI Dashboard
- Create a new Custom GPT or Assistant
- Add the Birdeye MCP tools to your configuration
-
Configure MCP Integration:
{ "mcp_servers": { "birdeye": { "endpoint": "https://dev-mcp.birdeye.so/mcp", "headers": { "x-api-key": "<YOUR_API_KEY>" } } } } - Test the Integration: Create a prompt that utilizes Birdeye's crypto data tools to verify the setup is working correctly.
Integration Configuration Examples
Most MCP clients use similar configuration patterns. Here are examples for popular platforms:
TypingMind Configuration
{
"mcp_servers": {
"birdeye": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://dev-mcp.birdeye.so/mcp"],
"headers": {
"x-api-key": "<YOUR_API_KEY>"
}
}
}
}
VS Code Configuration
Add to your VS Code settings or workspace configuration:
{
"mcp.servers": {
"birdeye": {
"command": "npx",
"args": ["-y", "mcp-remote@latest", "https://dev-mcp.birdeye.so/mcp"],
"env": {
"BIRDEYE_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Choosing the Right Integration
The best integration depends on your specific use case:
- Trading Applications: Claude Desktop, TypingMind, or custom integrations
- Development Workflows: VS Code, Cursor, Zed, or Continue for coding assistance
- Enterprise Solutions: Microsoft Copilot Studio or LibreChat for team deployments
- Research & Analysis: Terminal tools like gptme or Claude Code for data analysis
- Workflow Automation: BeeAI Framework or Genkit for scalable agent deployment
Available Tools and Capabilities
Once integrated, you'll have access to powerful crypto data tools including:
- Token Discovery: Find trending and newly launched tokens
- Market Analysis: Access real-time price, volume, and market cap data
- Historical Data: Retrieve OHLCV data for backtesting and analysis
- Pool Information: Monitor liquidity pools and trading activity
- Safety Signals: Get security and risk assessment data
- Metadata Enrichment: Access token logos, descriptions, and categorization
- And many more
Use Cases
The Birdeye MCP integration enables numerous applications:
- Trading Bots: Build AI-powered trading assistants with real-time market data
- Research Tools: Create comprehensive crypto market analysis tools
- Portfolio Management: Develop intelligent portfolio tracking and rebalancing systems
- Risk Assessment: Build tools that evaluate token safety and market risks
- Market Surveillance: Monitor market trends and identify opportunities
Support and Documentation
For detailed API documentation and additional resources:
- Birdeye API Documentation
- MCP Protocol Specification
- Community support available through our Discord and developer forums
The Birdeye MCP Server represents a significant step forward in making real-time crypto data accessible to AI applications. Whether you're building trading tools, research platforms, or analytical systems, this integration provides the foundation for powerful, data-driven crypto applications.
Get started today by setting up your API key and integrating with your preferred AI platform. The future of crypto data analysis is here, and it's powered by AI.
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