Discover our curated collection of MCP servers for developer tools. Browse 18167 servers and find the perfect MCPs for your needs.
Manages and automates interactions with social media platforms, specifically X (formerly Twitter).
Automates browser interactions through the Model Context Protocol (MCP), enabling integration between large language models and web browsing.
Enables AI agents to interact with the Solana blockchain through a standardized interface.
Provides AI-powered search capabilities for AI assistants, leveraging the Tavily API and Model Context Protocol.
Enables LLMs to interact with Kibela content by providing an MCP server implementation for the Kibela API.
Executes shell commands via the Model Context Protocol (MCP) enabling safe execution of shell commands by AI agents.
Enables text-to-speech capabilities for applications using the MCP protocol.
Provides tools for Xcode project management, building, testing, archiving, code signing, and related iOS development.
Validates OpenAPI specifications using the APIMatic API with Model Context Protocol.
Enables AI assistants to interact with SQL Server databases for schema inspection, query execution, and performance monitoring.
Orchestrates LLMs with efficient web content search and extraction capabilities, including DuckDuckGo and GitHub Code search.
Provides AI systems with robust access to Gene Ontology (GO) data for ontology-based analysis, gene annotation research, and functional enrichment studies.
Transforms CSV data into diverse visualizations, including line, bar, pie charts, and world maps, optimized for AI assistant integration.
Establishes a Model Context Protocol (MCP) server for seamless integration with various development clients.
Manages project backlogs using Markdown files in Git for frictionless collaboration between AI agents and developers.
Provides intelligent, persistent memory for AI assistants like Claude Code via a self-hosted Model Context Protocol (MCP) server.
Enables AI agents to perform in-depth analysis of .NET memory dumps, inspecting heaps, threads, and exceptions using natural language.
Facilitates human-to-AI code review for UI prototypes, allowing AI agents to automatically fix code based on browser-based feedback.
Provides persistent memory and intelligent context management for AI agents, enabling long-term recall across sessions.
Provides AI coding assistants with secure, read-only access to database schemas and data, enabling direct inspection and safe query execution from the IDE.
Scroll for more results...