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。18204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 interaction with GitHub APIs through Claude Desktop for repository and issue management.
Enables language models to access external tools and resources through a standardized Model Context Protocol interface.
Streamlines Cardano blockchain integration by providing access to documentation, tools, and best practices for application developers.
Installs and manages other MCP servers via prompts.
Enhances Claude's capabilities in Cursor IDE with a collection of Model Context Protocol (MCP) servers.
Counts letter occurrences within a given word, designed for use with LLMs.
Provides a local server for the TianGong AI Model Context Protocol, supporting streamable HTTP communication.
Provides an MCP server for integrating OpenRouter's AI models.
Orchestrates complex AI development environments, coordinates multi-service workflows, and manages Textual terminal applications via a Model Context Protocol interface.
Generates prototype URLs from natural language requirements by leveraging the v0 Platform API.
Enables secure, read-only access and intelligent inference for MySQL database operations within client applications.
Uploads Swagger API documentation to ApiFox through an AI assistant conversation.
Integrates Spring Boot applications with AI workflows and assistants through the Model Context Protocol (MCP).
Generate structured JSON documentation from Java source code or crawl existing HTML Javadoc for intelligent search capabilities.
Integrates the Korean National Law Information API to provide structured access to laws, precedents, and legal interpretations for AI agents and LLM applications.
Facilitates AI-assisted translation of Django gettext `.po` files, ensuring intelligent preservation of variables, HTML, URLs, and JavaScript code.
Enables Model Context Protocol (MCP) communication for B4J applications via standard I/O.
Integrates AI assistants with the GitLab REST API, offering over 65 tools for comprehensive management of projects, merge requests, pipelines, and CI/CD workflows.
Bridge LCOV coverage reports to AI agents, providing structured visibility into test coverage for enhanced analysis and focus.
Transforms your AI assistant into a persistent developer logbook for notes, TODOs, and reminders, all within your existing workflow.
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