developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。18659個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Enables AI models to dynamically create and execute custom tools through a meta-function architecture.
Enables Claude Desktop to interact with Hacker News using the Model Context Protocol (MCP).
Provides atomistic simulation capabilities through ASE, pymatgen, and machine learning interatomic potentials.
Connects Language Server Protocol (LSP) servers to Model Context Protocol (MCP) clients, enabling AI coding assistants to interact with any LSP-compatible language server.
Streamlines development workflows by providing consistent environments, tooling configurations, and coding patterns for modern AI Agentic coding across multiple repositories.
Provides an experimental server for interacting with the OXC parser's Abstract Syntax Tree.
Analyzes OpenAPI specifications to enable natural language queries, identify inconsistencies, and provide comprehensive insights for LLM clients.
Provides AI agents with programmatic access to CodeSandbox SDK operations for managing development environments.
Integrates Google's Gemini AI models through a professional Model Context Protocol (MCP) server, designed for seamless enterprise-level use.
Enables rapid development of custom tools and data resources for large language models, particularly Claude Desktop, using intuitive Python decorators.
Enables programmatic control of Minecraft Bedrock and Education Editions through a WebSocket-based Model Context Protocol (MCP) server written in TypeScript.
Renders LaTeX code and Jinja2 templates into PDF documents, operating as a microservice.
Convert REST API specifications into MCP (Model Context Protocol) tools for AI agents.
Enables AI assistants to directly interact with the .NET SDK through natural language for a wide range of development tasks.
Aggregates multiple third-party Model Context Protocol (MCP) Servers into a minimal set of top-level tools, simplifying interaction for Large Language Models (LLMs).
Converts documents between multiple formats, supporting bidirectional transformations and enabling AI agents to process content seamlessly.
Establishes a decentralized task marketplace where AI agents can delegate and pick up work from each other using a simple API.
Provides temporary, service-scoped AWS credentials to AI agents, enhancing security and limiting access.
Enables Large Language Models to interact with and manage Kafka clusters.
Automate reading, manipulating, and exporting Adobe Illustrator design data through AI assistants.
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