API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 5521servers and find the perfect MCPs for your needs.
OpenCTI Server
Enables querying and retrieving threat intelligence data from an OpenCTI platform through a standardized Model Context Protocol (MCP) interface.
AISDK MCP Bridge
Enables seamless integration and communication between Model Context Protocol (MCP) servers and AI SDK tools.
ShotGrid
Provides a Model Context Protocol (MCP) server for Autodesk ShotGrid/Flow Production Tracking (FPT), offering comprehensive CRUD operations and data management.
Podman
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Framer Plugin
Facilitates the creation and management of Framer plugins with integrated web3 capabilities.
Magento 2
Enables querying and managing Magento 2 product, customer, order, and revenue data through an MCP server.
Databutton
Generates initial plans for building React and Python business applications with AI.
Git
Enables Large Language Models to interact with, read, search, and manipulate Git repositories for automation.
Mcp-Use
Connect LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.
Code Review
Automates code reviews by leveraging Large Language Models to identify issues and provide recommendations.
Redis Cloud API
Manages Redis Cloud resources using natural language through the Model Context Protocol.
Ramp
Enables retrieval and analysis of Ramp data via a Model Context Protocol (MCP) server.
EpicMe
Demonstrates an application exclusively accessible via the Model Context Protocol (MCP).
Asterisk
Provides real-time security analysis of code by connecting to the Asterisk security API.
Webflow
Enables Claude to interact with the Webflow API.
RunPod
Enables interaction with the RunPod REST API through Claude or other MCP-compatible clients.
Swagger Explorer
Analyzes Swagger/OpenAPI specifications through integration with Claude.
Gemini Thinking
Leverages Google's Gemini API to provide sequential thinking and problem-solving capabilities without code generation.
Quickchat AI
Enables connecting a Quickchat AI Agent to various AI applications via the Model Context Protocol (MCP).
Server Proxy
Converts the MCP protocol's SSE transport layer to standard HTTP requests and responses.
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