DexScreener MCP Server

@openSVM

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Basic information

About DexScreener MCP Server

No overview available yet

#dexscreener#api #mcp-server

DexScreener MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

DexScreener MCP Server tools

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Overview

What is DexScreener MCP Server?

An MCP server implementation that provides real-time access to DEX pair data, token information, and market statistics across multiple blockchains via the DexScreener API.

How to use DexScreener MCP Server?

Install using the provided one-line script (which automatically adds it to Claude Desktop) or manually via npm install && npm run build && npm run setup. Then invoke the seven available tools (e.g., get_latest_token_profiles, get_pairs_by_token_addresses) through an MCP client.

Key features of DexScreener MCP Server

Rate-limited API access respecting DexScreener’s limits
Comprehensive error handling for various failure modes
Type-safe TypeScript interfaces
Support for all DexScreener API endpoints
Integration tests included
One-line install for Claude Desktop

Use cases of DexScreener MCP Server

Fetch the latest token profiles and boosted tokens for market monitoring
Retrieve DEX pair details by chain and address
Search for trading pairs by query string
Check orders paid for a specific token
Integrate real-time DEX data into AI assistants or analytics pipelines

Frequently asked questions

What data does DexScreener MCP Server provide?

It provides DEX pair data, token information, market statistics, latest token profiles, boosted tokens, and token order checks across multiple blockchains, all sourced from the DexScreener API.

What are the rate limits for the server?

Token Profile/Boost endpoints are limited to 60 requests per minute; DEX/Pairs endpoints are limited to 300 requests per minute, enforced by the server to comply with DexScreener’s API.

What runtime or dependencies are required?

The server is built with Node.js and TypeScript; dependencies are installed via npm. No API key or authentication is mentioned in the README.

How does error handling work?

Errors from rate limiting, invalid parameters, network failures, or API errors are returned in a standardized format with appropriate error codes and messages.

Where does the data live?

All data is fetched in real time from the DexScreener API; no local data storage is mentioned.

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