API Development MCP 서버

api development를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7973개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.

Provides AI assistants with a comprehensive suite of weather-related tools, including current conditions, forecasts, and air quality data.

Provides access to NBA, NFL, and MLB data, including players, teams, and game statistics via the Balldontlie API.

Enables AI assistants to programmatically create, buy, and sell tokens on the Pump.fun platform on Solana.

Queries flight information, weather data, and flight comfort metrics from Variflight.

Enables LLMs to access and utilize Google Search results.

Connect LangChain.js-compatible LLMs with MCP servers for building AI agents with dynamic tool access and multi-server support.

Scales large language models to thousands of servers through automatic routing.

Integrate Ecovacs cleaning robot control capabilities into large language models and intelligent agents via the MCP protocol.

Provides a Model Context Protocol (MCP) server that integrates with SmartBear's API Hub, Test Hub, and Insight Hub.

Enables interaction with the Explorium API as a Model Context Protocol (MCP) server.

Reduces language model token consumption by efficiently caching data between interactions.

Facilitates interaction with Azure DevOps services through AI assistants by providing entity-based tools.

Enables AI agents to send and receive Signal messages through a signal-cli integration.

Manages n8n workflows directly within LLMs and AI agents through the Smithery Model Context Protocol.

Enables searching for research papers using the Semantic Scholar API within an MCP environment.

Provides a reliable interface for AI assistants to access and query the EBI Ontology Lookup Service (OLS) for accurate ontological information.

Connects AI assistants to Sunsama for comprehensive task management, user information, and stream operations.

Provides AI assistants with direct access to Shopware's Admin API, enabling seamless product, category, order, and theme management.

Enables interactive AI generation in Cursor by allowing the AI to request user input during the process.

Introduces delays in AI agent workflows by providing a sleep/wait function for specified durations.

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