api development向けの厳選されたMCPサーバーコレクションをご覧ください。9036個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Integrates AI assistants with your media automation tools, enabling natural language control over services like Sonarr, Radarr, and Plex.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and retrieve detailed research information.
Bridges Claude AI with blockchain networks, enabling gasless transactions, swaps, and transfers directly from natural language conversations.
Integrates ChatGPT with Index Network's discovery protocol via a Model Context Protocol server.
Scrapes LinkedIn profiles to extract comprehensive professional data including experience, education, skills, and contact information.
Provides geocoding services by integrating with the Nominatim API.
Integrates large language models and AI chatbots with official data and statistics from Statistics Sweden.
Facilitates semantic, query-driven discovery of tools for the Model Context Protocol, using vector search to resolve the challenge of managing numerous available tools.
Provides Swiss Aare river data to AI assistants for answering questions about swimming conditions, water temperature, flow rates, and safety.
Facilitates making HTTP requests, GraphQL queries, and raw TCP/Telnet connections using natural language from AI assistants.
Enables language models to interact with Apache Kafka and its ecosystem.
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Provides production-ready WebAssembly plugin examples for the Noorle platform, showcasing HTTP APIs, WASI 2.0, and the Component Model across Rust, Go, Python, JavaScript, and TypeScript.
Exposes IMDB data through a Model Context Protocol server.
Accesses MITRE's Common Weakness Enumeration (CWE) database via its official API, streamlining vulnerability research and integrating with MCP-compatible systems.
Exposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specifications.
Provides tools for querying, searching, and validating OpenStreetMap tags and exploring presets using the official `id-tagging-schema` library.
Enables interaction with Neo4j databases directly from the Cursor IDE.
Extracts the essential structure from large command outputs, returning only the schema to AI agents to optimize context and token usage.
Automates software development workflows via AI agents for tasks across Gmail, GitHub, databases, and Jira.
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