Discover our curated collection of MCP servers for developer tools. Browse 18418 servers and find the perfect MCPs for your needs.
Provides mathematical and statistical functions to Large Language Models (LLMs) via a simple API.
Enables chatting with Chronulus AI forecasting and prediction agents within Claude.
Provides an agentic abstraction layer for building high precision vertical AI agents in Python.
Facilitates secure transactions on the Binance Smart Chain, enabling native BNB and BEP-20 token transfers.
Enables an MCP client to play a game of Minesweeper.
Implements a Model Context Protocol (MCP) server that integrates with Vectorize for advanced vector retrieval and text extraction.
Routes context to Language Model Models (LLMs) using the Model Context Protocol (MCP).
Enables AI agent interaction with the Freqtrade cryptocurrency trading bot via its REST API for automated trading operation.
Bridges the LightRAG API with MCP-compatible clients, enabling Retrieval-Augmented Generation (RAG) capabilities in AI tools.
Manage MCP servers within the Claude App ecosystem through a command-line interface.
Manages code snippets with AI-powered features using Azure Functions, OpenAI, and Cosmos DB, and exposes them as Model Context Protocol (MCP) tools for clients like GitHub Copilot.
Enhances Claude Code MCP with orchestration, reliability improvements, and self-contained execution patterns.
Provides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.
Empowers AI agents to efficiently navigate and search codebases semantically, significantly reducing token consumption.
Audits Java source code for vulnerabilities using function-level taint analysis, providing security insights to AI assistants.
Empowers AI coding agents with full browser context to streamline debugging and regression testing workflows.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Enables natural language agents and clients to perform SQL queries and interact with PostgreSQL databases securely in a read-only fashion.
Empower AI agents with the ability to see and interact with any application, performing end-to-end tests across a multitude of platforms.
Provides up-to-date, local-first documentation for AI agents to ensure accurate and instant responses.
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