GitHub向けに構築された923個のMCPを発見。
Manages remote memory as a knowledge graph, synchronizing data with GitHub repositories for collaborative storage and access.
Detects over 35 types of secrets and sensitive information, including API keys, passwords, tokens, and credentials, in GitHub repositories and code snippets.
Facilitates Git repository management through the Model Context Protocol.
Enables project rules and interacts with an MCP server for enhanced functionality.
Provides a sandbox environment for exploring and validating Model Context Protocol (MCP)-related features and capabilities.
Provides a unified server to check package versions and metadata across various programming language ecosystems.
Manages and synchronizes complex development patterns across multiple dimensions for AI applications.
Enhances AI capabilities by providing rich workspace context, comprehensive code analysis, and intelligent prompts.
Exposes a wide array of modern command-line tools as a structured JSON-RPC server for AI and LLM agents.
Manages and categorizes tools relevant to MCP Server environments.
Enables AI assistants to analyze and read GitHub repositories, facilitating code analysis, repository exploration, and understanding project structures.
Provides AI assistants with fast, self-hosted access to GitHub repositories, eliminating rate limits and ensuring up-to-date source code availability.
Enforce quality standards for documentation and code artifacts in build-in-the-open development workflows.
Enables AI assistants to interact with GitHub repositories, issues, and pull requests via the Model Context Protocol.
Generates a file tree in JSON format for a specified directory, excluding files and directories based on .gitignore rules.
Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.
Streamline GitHub repository management, automate tasks, generate UI galleries, and facilitate serverless deployments for efficient development workflows.
Manages and interacts with GitHub repositories through the Model Context Protocol.
Presents learning notes and conversations from software development sessions with Claude.
Ensures AI-generated content adheres to established brand guidelines and voice.
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