"GitHub Copilot" matching MCP servers:

Enables AI tools like GitHub Copilot to manage and persist context using a local JSON-based memory store. Provides CLI, MCP server, and VS Code integration for storing, retrieving, and managing context entries.

Cross-session memory layer for GitHub Copilot agent mode that stores fixes/decisions in SQLite and provides tools for save, search, and recall via MCP.

An MCP server that provides on-demand skill discovery for AI coding agents by querying GitHub repositories, using BM25 search to return relevant SKILL.md content.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based organization, and team collaboration via Model Context Protocol.

Local memory of your coding-agent sessions. Imports Claude Code, Codex, opencode and Copilot transcripts, extracts decisions and learnings with a link back to the session turn, and lets agents search them over MCP.

A static, read-only MCP server that exposes a database knowledge base (schema, relationships, workflows, and reasoning patterns) so Claude Code / Copilot can reason about a database without a live connection.

Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.

Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.

Local-first AI PKM memory server for coding conversations. Imports Claude Code, Cursor, Codex CLI, Trae, and GitHub Copilot chats into notes, semantic search, tag graphs, Markdown exports, and MCP memory tools.

Provides persistent memory for MCP-compatible agents (like Copilot CLI) to save and recall knowledge across sessions, plus long-running monitoring tools.

Exposes a personal portfolio's resume, projects, skills, certifications, and live GitHub repositories as tools for AI assistants to query via natural language.

A forkable RAG project with an MCP server for VS Code/Copilot, enabling indexing and querying of knowledge from URLs, PDFs, or TeX files.

Gives Claude Code, Claude Desktop, Cursor, VS Code Copilot, and other MCP-compatible tools persistent memory.

A persistent knowledge base server for MCP development with GitHub integration and removal blocklist.

MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.

Multi-agent shared brain MCP server enabling cross-session memory, self-improving skill loops, and inter-agent signaling across Claude, Codex, Gemini, Copilot, and VS Code CLI agents.

Manages knowledge graph data synchronized with GitHub repositories, enabling remote storage and collaboration of memory entities, relationships, and observations.

A context engineering tool for AI coding assistants that detects post-training knowledge gaps, resolves them automatically, and delivers team decisions via MCP to Claude, Cursor, Copilot, and other AI tools.

Enables agents to read, search, and propose durable knowledge stored as flat files in a GitHub repository, with every write opened as a pull request and domain owners approving changes in a web UI without touching git.

@memofs/mcp-server lets AI coding agents (Claude Code, Claude Desktop, Codex, Cursor, opencode, Gemini CLI, GitHub Copilot, Zed, and any other MCP client) securely read and write MemoFS memory through standard Model Context Protocol tools.