API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 6842servers and find the perfect MCPs for your needs.
Street View
Enables AI models to fetch, display, and compile Google Street View imagery into virtual tours.
DuckDuckGo
Enables web searches using DuckDuckGo within Model Context Protocol (MCP) environments.
Superset
Enables querying Apache Superset data using large language models through a Model Context Protocol (MCP) server.
TTS Say
Synthesizes text into speech and plays it locally using the OpenAI TTS SDK.
Neo4j Server SSE
Enables interaction with Neo4j databases through a Model Context Protocol (MCP) server using Server-Sent Events (SSE).
Postgres
Enables AI models to interact with PostgreSQL databases through a standardized Model Context Protocol interface.
Jerry
Implements a Model Context Protocol server using WebAssembly's Component Model.
Laravel Docs
Provides AI assistants with access to Laravel documentation and package recommendations via the Model Context Protocol (MCP).
Sns
Facilitates interaction with Service Nervous System (SNS) DAOs on the Internet Computer using the Model Context Protocol.
Random Number
Delivers true random numbers for large language models by leveraging atmospheric noise from random.org.
Tribal
Tracks and retrieves error knowledge, integrating with tools like Claude for improved error handling.
Cosmos DB Go
Enables interaction with Azure Cosmos DB through a Model Context Protocol (MCP) server built with the Go SDK.
TG
Exposes TigerGraph operations as structured tools and URI-based resources.
Pierre
Provides AI-powered analysis of personal fitness data from multiple providers via an MCP server.
Python Toolbox
Provides a comprehensive set of tools for Python development via the Model Context Protocol.
FastFS
Enables AI assistants like Claude to perform high-speed filesystem operations, manage Git repositories, and engage in interactive user prompts.
Langchain Playground
Explores and demonstrates various LLM-related tools and integrations, including LangChain.js, LangGraph, Slack, and the Model Context Protocol.
Higress AI Search
Augments AI model responses with real-time search results via the Higress ai-search plugin.
Docs Provider
Provides documentation context to Large Language Models (LLMs) via the MCP protocol, allowing them to answer queries based on local markdown documentation.
Feishu
Enables AI large language models to interact with Feishu (Lark) APIs, primarily supporting multidimensional table operations through tool calls.
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