Discover our curated collection of MCP servers for api development. Browse 9929 servers and find the perfect MCPs for your needs.
Provides web content searching and fetching capabilities through the Jina Reader API.
Shortens URLs using the CleanURI API and exposes the functionality as a FastMCP server tool.
Enables AI agents to search documentation within HexDocs using the search API.
Converts REST endpoints from Spring Boot applications into an MCP server.
Enables AI systems to generate and edit images using text prompts via the 4o-image API.
Provides plug-and-play authentication for Model Context Protocol (MCP) servers.
Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.
Provides tools for fetching and creating Reddit content.
Generates MCP-compatible server components dynamically from OpenAPI specifications.
Bridges Large Language Models with Guild Wars 2 data sources, providing access to in-game information and user data.
Enables programmatic access to Sidemail's transactional email, contacts, domains, and Messenger features through Model Context Protocol (MCP) clients.
Provides a comprehensive Model Context Protocol (MCP) server for Home Assistant, enabling full smart home management and automation through extensive API coverage.
Provides a comprehensive Model Context Protocol server for Indian and global stock market data, powered by yfinance, offering intelligent symbol resolution, real-time data, and advanced charting.
Showcases interactive agentic commerce user experiences through a Model Context Protocol (MCP) server that integrates with Goose.
Provides a production-ready remote Model Context Protocol server featuring enterprise authentication, multi-method user authentication, and comprehensive reflection capabilities.
Facilitates natural language to SPARQL query generation for open-access endpoints.
Provides an official server for accessing and integrating with the Perigon News API's comprehensive set of tools.
Connects AI assistants to personalized agent profiles and structured notes via the Model Context Protocol (MCP).
Optimizes Large Language Model (LLM) prompts by converting data to the token-efficient TOON format, achieving significant token savings over JSON.
Provides comprehensive control over ProPresenter presentations through its API, exposing a wide range of functionalities as a Model Context Protocol (MCP) server.
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