developer tools를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 12670개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Bridges Agileday's competence and employee data with Large Language Models to enable natural language queries about organizational skills and experts.
Enhances Claude's coding responses by integrating a strategic software engineering advisor.
Demonstrates a Model Context Protocol (MCP) server that interactively collects missing user profile data through elicitation.
Provides an AI-powered, browser-based coding environment with serverless architecture for seamless GitHub interactions.
Provides comprehensive filesystem operations, Git integration, and code validation capabilities through a unified Model Context Protocol server.
Empower large language models to access and retrieve technical documentation on-demand through a RAG system and MCP server.
Exposes financial account data through a Model Context Protocol (MCP) server, offering an abstraction layer over various data sources.
Access calendars, contacts, and files via the Model Context Protocol (MCP).
Provides a Model Context Protocol interface for querying Wikipedia content.
Empower AI assistants with a comprehensive suite of statistical analysis and machine learning tools, enabling intelligent data discovery and automated insights.
Provides AI assistants with programmatic access to the Mozaic Design System for design tokens, components, icons, and documentation.
Serves Tambo documentation via a Model Context Protocol (MCP) server, enabling seamless integration with AI-powered development environments.
Integrates with Hyperskill to enable AI agents to explain programming topics using Hyperskill's learning resources.
Automate interactions with Gradle projects using the Gradle Wrapper through a Model Context Protocol server.
Connects Large Language Models and AI clients to live Sugar CRM data through a read-only Model Context Protocol (MCP) interface.
Facilitates intelligent interaction with Azure services and CLI commands, acting as a Model Context Protocol server to translate natural language requests into executable actions.
Enables Large Language Models to co-debug Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and analytical capabilities through an OpenOCD proxy architecture.
Exposes PTC ThingWorx as a set of AI-friendly tools and APIs, facilitating interaction via a REST API with AppKey authentication.
Analyzes code for bugs, errors, and functionality issues across various languages.
Manages Kubernetes clusters by exposing kubectl, Helm, and Kustomize capabilities via the Model Context Protocol.
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