Discover our curated collection of MCP servers for api development. Browse 12583 servers and find the perfect MCPs for your needs.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Analyze advertising data through natural language conversations using Claude AI and Google Ads integration.
Downloads YouTube subtitles using yt-dlp and connects to claude.ai via Model Context Protocol.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
Connects a local Home Assistant instance to Language Learning Models (LLMs) via the Model Context Protocol (MCP).
Provides a server enabling models to better understand Vue applications by exposing the component tree, state, routes, and Pinia data.
Enables AI language models to interact with YouTube content through a standardized interface for video and channel management, transcript retrieval, and advanced analytics.
Provides an MCP server for programmatically managing n8n workflows.
Enables Large Language Models to interact with Rails projects through the Model Context Protocol.
Manages and monitors multiple Model Context Protocol (MCP) servers from a central location.
Exposes databases to AI agents and LLM-powered applications via MCP or OpenAPI 3.1 protocols.
Quickly scaffolds Python projects for Model Context Protocol (MCP) servers.
Provides a collection of official plugins for the Dify platform, including models, tools, agent strategies, and extensions.
Provides access to real-time financial news, stock data, and index data via the Tushare API for language models.
Generates Model Context Protocol (MCP) servers from OpenAPI specifications, enabling AI agents to interact with existing REST APIs.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Dynamically generate mermaid diagrams and charts using AI.
Enables seamless integration with SonarQube Server or Cloud and allows for code snippet analysis within the agent context.
Provides a lightweight, zero-overhead implementation of the Model Context Protocol (MCP) server directly in Bash.
Secures and governs enterprise AI API and Multi-Cloud Platform (MCP) access through a unified gateway, offering features like RBAC, audit logs, rate limiting, and cost tracking across various LLM providers.
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