发现我们为 api development 精心策划的 MCP 服务器集合。浏览 9130 个服务器,找到满足您需求的完美 MCP。
Provides an API router for managing and interacting with MCP (Metaverse Content Protocol) Servers.
Provides comprehensive stock data querying and analysis functionalities via an MCP server leveraging AkShare.
Provides AI agents and applications with seamless access to Mapbox's geospatial intelligence platform through the Model Context Protocol.
Enables decoupled agent-tool interaction by providing a working pattern for Server-Sent Events (SSE) based Model Context Protocol (MCP) clients and servers.
Transforms OpenAPI specifications into Model-Context-Protocol servers and remixes existing servers.
Transforms natural language questions into SQL queries using graph-powered schema understanding.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.
Implements Claude Code-like functionality using the Model Context Protocol, enabling code understanding, modification, and execution.
Interactively builds smart contracts from OpenZeppelin components for various blockchain environments.
Generates context files from code, repositories, and web pages for AI language models.
Delegates AI coding tasks to Aider, enabling cost reduction and enhanced control over the coding model.
Enables AI-powered web search through an MCP server utilizing OpenAI's o3 model.
Provides research and documentation assistance by leveraging the Perplexity AI Sonar Pro API.
Hosts a community-driven directory of MCP servers, enabling developers to discover and share tools.
Simplifies the process of connecting to Model Context Protocol (MCP) servers for enhanced client integration.
Enables web searches within MCP-compatible applications using the Perplexity AI API.
Enables AI models and coding assistants to semantically search and retrieve Claude Agent Skills using vector embeddings and the Model Context Protocol.
Analyzes codebases to identify important files based on dependency relationships, generating diagrams and importance scores to improve AI understanding.
Enables the invocation of Dify workflows by calling tools using the Model Context Protocol (MCP).
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