DexScreener MCP Server
What is DexScreener MCP Server?
what is DexScreener MCP Server? DexScreener MCP Server is an implementation for accessing the DexScreener API, providing real-time access to decentralized exchange (DEX) pair data, token information, and market statistics across multiple blockchains. how to use DexScreener MCP Server? To use the DexScreener MCP Server, you can install it using a one-line command or manually set it up by running the provided npm commands. After installation, you can call various tools to access token profiles, boosted tokens, and more. key features of DexScreener MCP Server? Rate-limited API access that respects DexScreener's limits Comprehensive error handling for various scenarios Type-safe interfaces for better development experience Support for all DexScreener API endpoints Integration tests to ensure reliability use cases of DexScreener MCP Server? Accessing real-time token profiles for trading decisions Monitoring boosted tokens for investment opportunities Analyzing DEX pair data for market trends FAQ from DexScreener MCP Server? What is the rate limit for API requests? The server implements rate limits: 60 requests per minute for Token Profile/Boost endpoints and 300 requests per minute for DEX/Pairs endpoints. How do I handle errors? The server provides standardized error responses for various scenarios, including rate limit exceeded and invalid parameters. Is there documentation available? Yes, detailed API documentation is available in the project repository.
As an MCP (Model Context Protocol) server, DexScreener MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use DexScreener MCP Server
To use the DexScreener MCP Server, you can install it using a one-line command or manually set it up by running the provided npm commands. After installation, you can call various tools to access token profiles, boosted tokens, and more. key features of DexScreener MCP Server? Rate-limited API access that respects DexScreener's limits Comprehensive error handling for various scenarios Type-safe interfaces for better development experience Support for all DexScreener API endpoints Integration tests to ensure reliability use cases of DexScreener MCP Server? Accessing real-time token profiles for trading decisions Monitoring boosted tokens for investment opportunities Analyzing DEX pair data for market trends FAQ from DexScreener MCP Server? What is the rate limit for API requests? The server implements rate limits: 60 requests per minute for Token Profile/Boost endpoints and 300 requests per minute for DEX/Pairs endpoints. How do I handle errors? The server provides standardized error responses for various scenarios, including rate limit exceeded and invalid parameters. Is there documentation available? Yes, detailed API documentation is available in the project repository.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like DexScreener MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like DexScreener MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.