"GitHub repository JOJO-Adam/Stemem" matching MCP servers:

Enables MCP host agents to maintain a locally persisted dynamic personality and identity across sessions, context compaction, and sub-agents, with emotion- and drive-driven tone adaptation through nine MCP tools.

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

Enables University of Basel students to use their own local AI assistants with ADAM by providing read-only access to courses, folders, page text, file metadata, local PDF/text extracts, exercises, dashboard search/news/dates, and session status while keeping SWITCH edu-ID login in Chrome.

Enables AI agents to securely search, analyze, and draft posts grounded in a local X/Twitter archive, with encrypted storage, scoped tool access, and full audit logging.

A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.

MCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.

Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.

A production-grade MCP server for managing git projects, offering dynamic tool selection and enterprise-grade security.

Enables AI applications to automatically analyze local repositories and create GitHub repositories with proper configuration, topics, and complete setup workflow.

Enables MCP-compatible LLM clients to retrieve repository metadata, list and read files, search code, and fetch README content through natural-language requests.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

Provides intelligent codebase analysis, dependency scanning, architecture detection, security vulnerability scanning, and automatic documentation generation for modern development teams.

Enables Large Language Models to analyze GitHub repositories in real-time, providing tools for retrieving repository information, analyzing issues, accessing documentation, and visualizing activity.

Enables users to profile public GitHub repositories via a single tool, checking for Spring/Java structure such as pom.xml, src/main/java, Java file counts, and Spring layer annotations to assess suitability for deep local analysis.

Enables large language models to explore, inspect, and analyze GitHub repositories through natural-language queries, using MCP tools to retrieve repository data, file structures, file contents, and code search results from the GitHub REST API.

Enables real-time assessment of GitHub repository health by exposing tools and resources for repository metadata, open issues, recent commits, and GitHub Actions workflow runs, plus prompts for health reports and issue triage.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

GitHub's official MCP Server

MCP server for GitHub operations, providing tools for repository management, issues, pull requests, and code search.

A read-only MCP server that exposes GitHub user profiles, repository info, and search via tools for AI assistants like Claude.