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。20521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。
Answers computer science questions, summarizes research papers, and visualizes concepts by leveraging the arXiv dataset.
Provides a self-hosted shell and Python interpreter, enabling large language models to interact with code and manage files.
Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
Exposes project-specific development tools like linting, testing, and type-checking to coding agents via a controlled MCP server.
Generates Moby-like random names via the Model Context Protocol for integration with AI assistants and developer tools.
Enables AI assistants to quickly search for locally indexed files using KDE's baloosearch utility, facilitating semantic search across personal file systems.
Empowers AI assistants to create, update, and manage Form.io forms using natural language interactions.
Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.
Connects Evernote resources such as notes, notebooks, and tags to the Model Context Protocol (MCP).
Provides read-only access to Authorize.net transaction reporting APIs and settlement data.
Manages AI-generated sticky notes through a custom Model Context Protocol server, enabling creation, updating, listing, and deletion via natural language commands.
Facilitates the creation and deployment of AI-powered chatbots for Microsoft Teams using the Azure Bot Framework.
Automates codebase analysis to provide rich context for AI coding assistants and enforce design system compliance.
Provides an AI-native server for querying, searching, and cross-referencing a comprehensive database of Icelandic legislation and its EU/EEA implementations.
Provides an open API marketplace enabling AI agents to autonomously discover, select, and pay for external data and tools.
Establishes a local-first resolution database to capture, verify, and share proven software fixes across individuals, teams, and the global community.
Enables AI models to seamlessly interact with Google Drive, facilitating search, listing, and reading of files.
Provides an MCP server for PostgreSQL to manage, analyze, and diagnose database operations.
Analyzes log files in real time, leveraging local and cloud-based large language models for error detection, statistical analysis, and intelligent search.
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