API Development MCP Servers

Discover our curated collection of MCP servers for api development. Browse 6842servers and find the perfect MCPs for your needs.

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Street View

Enables AI models to fetch, display, and compile Google Street View imagery into virtual tours.

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DuckDuckGo

Enables web searches using DuckDuckGo within Model Context Protocol (MCP) environments.

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Superset

Enables querying Apache Superset data using large language models through a Model Context Protocol (MCP) server.

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TTS Say

Synthesizes text into speech and plays it locally using the OpenAI TTS SDK.

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Neo4j Server SSE

Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).

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Postgres

Enables AI models to interact with PostgreSQL databases through a standardized Model Context Protocol interface.

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Jerry

Implements a Model Context Protocol server using WebAssembly's Component Model.

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Laravel Docs

Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).

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Sns

Facilitates interaction with Service Nervous System (SNS) DAOs on the Internet Computer using the Model Context Protocol.

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Random Number

Delivers true random numbers for large language models by leveraging atmospheric noise from random.org.

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Tribal

Tracks and retrieves error knowledge, integrating with tools like Claude for improved error handling.

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Cosmos DB Go

Enables interaction with Azure Cosmos DB through a Model Context Protocol (MCP) server built with the Go SDK.

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TG

Exposes TigerGraph operations as structured tools and URI-based resources.

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Pierre

Provides AI-powered analysis of personal fitness data from multiple providers via an MCP server.

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Python Toolbox

Provides a comprehensive set of tools for Python development via the Model Context Protocol.

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FastFS

Enables AI assistants like Claude to perform high-speed filesystem operations, manage Git repositories, and engage in interactive user prompts.

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Langchain Playground

Explores and demonstrates various LLM-related tools and integrations, including LangChain.js, LangGraph, Slack, and the Model Context Protocol.

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Higress AI Search

Augments AI model responses with real-time search results via the Higress ai-search plugin.

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Docs Provider

Provides documentation context to Large Language Models (LLMs) via the MCP protocol, allowing them to answer queries based on local markdown documentation.

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Feishu

Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.

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