Discover our curated collection of MCP servers for api development. Browse 12465 servers and find the perfect MCPs for your needs.
Enables web searches using DuckDuckGo within Model Context Protocol (MCP) environments.
Shortens URLs using the CleanURI API and exposes the functionality as a FastMCP server tool.
Manages Neo4j graph database operations through the Model Context Protocol.
Connects to Typesense collections and retrieves data using an MCP client.
Enables AI systems to generate and edit images using text prompts via the 4o-image API.
Enables querying and analyzing Spanish public datasets available on datos.gob.es directly from MCP clients.
Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.
Enables natural language interaction with AWS Amplify Gen2 application data for AI assistants.
Provides HTTP requests to the NFTGo Developer API, allowing access to NFT data and analytics.
Connects LLM agents to BACnet devices in a secure, standardized way.
Enables AI agents to interact with Alibaba Cloud PolarDB-X databases through a Model Context Protocol (MCP) server.
Provides utilities for managing miniapps, orchestrator applications, and dialog logs within the Omilia Cloud Platform.
Enables FastAPI applications to expose their endpoints as an AI-friendly, introspectable server using the Model Context Protocol.
Provides a comprehensive Model Context Protocol server for EVE Online traffic, navigation, and system information leveraging official ESI and SDE data.
Unifies and expands access to multiple Model Context Protocol (MCP) servers by organizing them into flexible streaming HTTP (SSE) endpoints.
Analyzes stock market data, offering real-time quotes, historical trends, and technical indicators via an MCP server.
Manages the core server functions for API testing workflows.
Enables text models to interact with multimodal AI models through a standardized Model Context Protocol (MCP) server.
Deploys a production-ready template for specialized medical agents as discoverable MCP tools via the Agent Orchestration Protocol.
Facilitate structured feedback on markdown plans for AI agents to automatically implement, answer, and track.
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