api development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12465개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables the invocation of Dify workflows by calling tools using the Model Context Protocol (MCP).
Provides stock traders with a Model Context Protocol (MCP) server for financial analysis.
Enables Claude Desktop to interact with Google's Gemini AI models via a Model Context Protocol (MCP) server.
Integrates Google Maps API functionalities with LLM processing capabilities through a Model Context Protocol server.
Exposes OpenAPI specifications as Model Context Protocol (MCP) resources for Large Language Models.
Integrates Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports for agent tool orchestration.
Connects the Model Context Protocol (MCP) to Xero's API for standardized access to accounting and business features.
Proxies Model Context Protocol (MCP) servers that use stdio transport via a TypeScript SSE proxy.
Enables parallel Google searches with multiple keywords using a Playwright-powered MCP server.
A collection of guides, utilities, clients, and servers developed while exploring and implementing the Model Context Protocol (MCP).
Provides a Node.js client for interacting with the MediaWiki API and WikiData.
Exposes any web application with an OpenAPI specification as a Model Context Protocol (MCP) server.
Simplify third-party API integrations with an open-source API gateway.
Enables AI assistants to access and interact with Reddit content through PRAW.
Provides an interface to interact with the Zerodha Kite Connect API for programmatic trading and market data access.
Exposes GraphQL operations as Model Context Protocol (MCP) tools.
Enables AI assistants to securely interact with Odoo ERP systems through standardized data retrieval and manipulation.
Provides protocol-based memory management for AI to improve response accuracy, reduce drift, and stabilize context over long sessions.
Enables AI agents to interact with tools and services through secure, sandboxed TypeScript code execution, replacing traditional sequential tool calling.
Provides an MVA framework for production Model Context Protocol (MCP) servers, enabling structured perception for AI agents while ensuring zero hallucination and data leaks.
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