developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12670개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Integrates the complete Hashnode GraphQL API as Model Context Protocol tools, enabling AI assistants to manage blog content.
Integrate MySQL databases with Claude AI assistants, enabling secure execution of SQL queries, data exploration, and management through the Model Context Protocol.
Define and export a universal design token system to multiple formats including Canva CSS, Remotion TypeScript, and python-pptx.
Empowers AI coding assistants like GitHub Copilot with Payram integration tools, accelerating development with project assessment, scaffolding, and multi-language snippets.
Enables AI assistants like Cursor and Claude Desktop to securely query MySQL databases via the Model Context Protocol.
Provides secure and controlled access to software project repositories for executing builds, running tests, and managing Git operations.
Integrates Crawl4AI's powerful web scraping and browsing capabilities with Claude Code through a reliable stdio-based Model Context Protocol server.
Integrates multiple Model Context Protocol (MCP) servers to reduce AI client context consumption by up to 75%.
Enables AI assistants to programmatically interact with Databricks workspaces, providing extensive management and analytics capabilities.
Transforms AI agent outputs into professional reports, emails, and documents with integrated branding and quality validation capabilities.
Retrieves detailed information about Pokémon, including their stats, types, height, and weight, using the free PokeAPI.
Enables natural language interaction with MySQL databases through a Model Context Protocol (MCP) server, integrating AI capabilities for data operations.
Integrates various services like JIRA and TODO management using a TypeScript-based server implementation for the Model Context Protocol.
Exposes RefMD documents over a hosted SSE endpoint, enabling chatbots to browse and edit Markdown through RefMD's API.
Enables Cursor IDE to execute SSH commands on remote servers and manage Google Cloud Platform (GCE) instances.
Enables AI models like Claude to discover and invoke ServiceStack APIs through natural language.
Fetches and reads official documentation in real-time, providing instant, context-aware answers to developers within their AI assistant.
Builds a fully serverless LLM agent that dynamically manages memory and context using AWS Bedrock, Lambda-hosted MCP servers, and S3 Vectors.
Process PDF lecture materials, extracting text, chunking for large language models, and converting to clean Markdown with LaTeX support.
Enables AI agents to understand and interact with the Optics Design System's tokens, components, and documentation.
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