发现我们为 developer tools 精心策划的 MCP 服务器集合。浏览 20552 个服务器,找到满足您需求的完美 MCP。
Indexes and provides Zerops documentation as a context source for Cursor IDE.
Enables AI assistants to interact with and access data from Strateegia projects.
Enables advanced database operations, schema management, and data manipulation for PocketBase through the Model Context Protocol (MCP).
Identifies mutation-specific clinical trials from clinicaltrials.gov based on genetic mutations.
Provides a server template for deploying custom tools and resources on Vercel.
Exposes Ghidra's core functionality as an MCP server, enabling Large Language Models to autonomously reverse engineer applications.
Provides a comprehensive suite of development tools integrated as a server via the Model Context Protocol.
Establishes a project query server built with TypeScript, adhering to the Model Context Protocol (MCP) and featuring a Spring Boot-style architecture.
Automates comprehensive web browser interactions for deep frontend debugging, DOM analysis, network monitoring, and user interaction.
Integrates with Railway.app to allow AI clients to manage infrastructure, deploy services, and monitor deployments using natural language.
Integrate Terraform Cloud API functionality into AI assistants for managing infrastructure as code.
Enables AI assistants to search and retrieve recipes from the Recipe API.
Provides an MCP server leveraging the Graphiti framework, offering authentication, Neo4J integration, and containerization capabilities.
Manages extremely large contexts (10M+ tokens) for AI models using intelligent chunking, sub-queries, and free local inference via Ollama.
Manages comprehensive travel agency operations through a Model Context Protocol (MCP) server, enabling standardized interactions with traveler data.
Assesses open source software supply chain risk by analyzing dependency vulnerabilities, maintainer trust, license compliance, and detecting typosquatting.
Provides AI-powered pronunciation assessment, speech-to-text, and text-to-speech capabilities via Brainiall Speech AI APIs.
Turn any hosted YAML manifest into a fully-functional Model Context Protocol (MCP) server for AI tools.
Facilitates AI-driven design, editing, and analysis of circuit schematics for the BSch3V editor using the Model Context Protocol.
Provide local-first observability for agent workflows, recording every tool call, prompt transformation, latency, and token count in a private SQLite database.
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