Discover our curated collection of MCP servers for api development. Browse 11163 servers and find the perfect MCPs for your needs.
Implements the Chain of Draft (CoD) reasoning approach within an MCP server, enabling efficient LLM reasoning.
Enhances code development by providing intelligent suggestions, documentation integration, and technology detection.
Guides beginners in setting up Claude Desktop to interact with external tools using the Model Context Protocol (MCP).
Integrates the Brave Search API to provide both web and local search functionalities.
Enables AI assistants to interact with developer tools and services through the Model Context Protocol.
Enables interaction with Backstage templates via a command-line interface using Goose.
Provides current time and timezone conversion capabilities through a Model Context Protocol (MCP) server implemented in PHP.
Facilitates Oracle database operations through the Model Context Protocol (MCP).
Provides a Spring Boot template project integrated with MCP and JUnit for building MCP servers.
Wraps the Volcano Engine TTS API into a standard MCP protocol tool for one-click speech synthesis using natural language parameters.
Accesses SEC EDGAR data through the Model Context Protocol with real-time data streaming.
Integrates Model Control Protocol (MCP) services into Spring Boot applications with minimal configuration.
Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.
Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.
Checks PineScript syntax using TradingView's official API.
Provides a basic framework for executing code remotely, integrated with a network search tool and API proxy services.
Standardizes how AI applications access tools and context by implementing the Model Context Protocol.
Transforms player biographies into personalized 3D environments using LLM-powered analysis and generative models.
Enables AI agents to generate, edit, and describe images using Google's Gemini models through an MCP server.
Provides a sophisticated Retrieval-Augmented Generation (RAG) system for ingesting, indexing, and semantically searching Vaadin documentation.
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