API Development MCP Servers

Discover our curated collection of MCP servers for api development. Browse 5767servers and find the perfect MCPs for your needs.

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Web3

Enables blockchain interaction using natural language commands through a web application.

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Weather CLI

Fetches and displays real-time weather information for any location globally via the command line or as an MCP server.

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Agent Toolkit

Demonstrates integrating AI agents with local and remote tool execution via MCP and Ollama.

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MCP-Proxy

Simplifies interactions with MCP servers by providing a unified interface for accessing multiple tools.

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Research

Provides an MCP server for accessing academic paper data from arXiv and serving prompt templates for large language models.

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IqWiki

Provides Model Context Protocol (MCP) access to IQ.wiki data for use by AI assistants and other compatible clients.

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Yahoo Fantasy Baseball

Interacts with the Yahoo Fantasy Sports API to manage fantasy baseball leagues.

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Code Summarizer

Summarizes code files within a directory using Gemini Flash 2.0, and offers an MCP server for LLM tool integration.

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Mcpml

Builds Model Context Protocol (MCP) servers with CLI and OpenAI Agent support using a Python framework.

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Chroma

Provides an MCP server for managing vector embeddings, collections, and documents within ChromaDB.

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Py GCalendar

Enables seamless access and management of Google Calendar events via a Model Context Protocol (MCP) server.

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Stock Analysis

Provides stock market data from the Alpha Vantage API for use with Model Context Protocol (MCP) clients.

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Tradovate

Facilitates interaction with the Tradovate API for managing contracts, positions, orders, and accounts.

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Cd-Mcp-Proxy

Extends server functionality to operate as a worker by proxying messages to an existing server.

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Ankr

Fetches on-chain blockchain data via the Ankr API for use with Large Language Models.

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Relay Protocol

Enables cross-chain bridging and token swapping operations via the Relay Protocol REST API.

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YouTube

Enables AI assistants to interact with the YouTube API through the Model Context Protocol (MCP).

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Google Tasks

Integrates AI assistants with Google Tasks through the Model Context Protocol.

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Servers Collection

Extends the capabilities of AI assistants by providing specialized interfaces to interact with large language models (LLMs).

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Cognee

Powers an AI memory engine by building knowledge graphs from text and enabling search within them.

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