API Development MCP Servers
Discover our curated collection of MCP servers for api development. Browse 3209 servers and find the perfect MCPs for your needs.
YouTube Music
Enables AI assistants to search and play music tracks from YouTube Music.
3xpl
Queries data from 48 blockchains using the 3xpl.com blockchain explorer JSON API.
Rollbar
Enables LLMs to interact with Rollbar error tracking data.
ThemeParks.wiki API
Exposes data from the ThemeParks.wiki API as tools for retrieving theme park information.
Oracle
Facilitates Oracle database operations through the Model Context Protocol (MCP).
Flux Schnell
Generates images from text prompts using the Replicate API and a Model Context Protocol server.
Liveblocks
Enables AI agents to interact with the Liveblocks REST API for managing aspects like rooms, threads, comments, and more.
Template
Facilitates the creation of custom tools for Cursor IDE using the Model Context Protocol.
Jentic
Enables AI agents to rapidly discover and integrate external APIs and workflows without writing or maintaining API-specific code.
MindMesh
Orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm to produce optimally coherent responses.
MLC Bakery
Manages machine learning model provenance and lineage using a Python-based service.
Agentipy
Enables Claude AI to interact with the Solana blockchain by providing on-chain tools through a standardized interface.
Stock Analysis
Provides stock market data from the Alpha Vantage API for analysis within Model Context Protocol (MCP) clients.
X-Act
Compose AI assistants with this library.
Cf-Kaizen
Enables natural language interaction with Cloud Foundry foundations by leveraging Spring AI.
Jerry
Implements a Model Context Protocol server using WebAssembly's Component Model.
WeGene Assistant
Analyzes WeGene genetic testing reports using LLMs.
X
Enables interaction with the X platform through an MCP client.
My First
Configures a custom server using the Claude desktop application.
Gemini Image Generation
Generate images using Google's Gemini 2 API through a Model Context Protocol server.
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