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Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.
About
Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.
Security Report
6.0
Moderate6.0Moderate RiskValid MCP server (2 strong, 2 medium validity signals). 3 known CVEs in dependencies (1 critical, 2 high severity) Package registry verified. Imported from the Official MCP Registry.
3 files analyzed · 4 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Your API key from the ContextForge dashboard at contextforge.devRequired
Environment variable: CONTEXTFORGE_API_KEY
API endpoint URL (defaults to production)
Environment variable: CONTEXTFORGE_API_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-alfredoizdev-contextforge-mcp": {
"env": {
"CONTEXTFORGE_API_KEY": "your-contextforge-api-key-here",
"CONTEXTFORGE_API_URL": "your-contextforge-api-url-here"
},
"args": [
"-y",
"contextforge-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
ContextForge MCP — Persistent Memory for Claude, Cursor & Copilot
Give Claude Code, Cursor, and GitHub Copilot persistent memory across sessions via the Model Context Protocol (MCP). Stop re-explaining your project every time.
ContextForge MCP is an open-source MCP server that connects your AI coding assistants to long-term, searchable memory. Decisions, architecture notes, debugging context, and project knowledge stay available across every session — across every tool that supports MCP.
- 🧠 Persistent memory — your AI remembers everything across sessions, days, and weeks
- 🔍 Semantic search — find knowledge by meaning, not keywords
- 🔗 One memory, every tool — Claude Code, Cursor, Copilot, Claude Desktop, Windsurf
- 🐙 Git integration — sync commits and PRs automatically
- ✅ Task tracking — issues, assignments, and project status
- 👥 Team collaboration — share projects and memory with your team
- 🆓 Free tier — get started without a credit card
Quick Start
1. Install
npm install -g contextforge-mcp
2. Get your API key
- Go to contextforge.dev
- Sign up (free tier available)
- Settings → API Keys → Generate API Key
- Copy your key (starts with
cf_)
3. Connect to your AI tool
Claude Desktop
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"contextforge": {
"command": "contextforge-mcp",
"env": {
"CONTEXTFORGE_API_KEY": "your-api-key-here"
}
}
}
}
Restart Claude Desktop.
Claude Code (CLI)
claude mcp add contextforge \
-e CONTEXTFORGE_API_KEY=your-api-key-here \
-- contextforge-mcp
Restart Claude Code and run /mcp to verify it's connected.
Cursor
Add to your Cursor MCP settings:
{
"mcpServers": {
"contextforge": {
"command": "npx",
"args": ["contextforge-mcp"],
"env": {
"CONTEXTFORGE_API_KEY": "your-api-key-here"
}
}
}
}
GitHub Copilot (VS Code)
Add to your Copilot MCP config:
{
"servers": {
"contextforge": {
"command": "npx",
"args": ["contextforge-mcp"],
"env": {
"CONTEXTFORGE_API_KEY": "your-api-key-here"
}
}
}
}
Available Tools
ContextForge provides tools for Knowledge Management, GitHub Integration, Issue Tracking, and Collaboration.
Knowledge Management
| Tool | Description |
|---|---|
memory_ingest | Save knowledge to memory |
memory_query | Search your knowledge semantically |
memory_list_items | List all stored items |
memory_delete | Remove specific items |
memory_ingest_batch | Save multiple items at once |
memory_delete_batch | Delete items by filter |
Spaces & Projects
| Tool | Description |
|---|---|
memory_list_spaces | List your spaces |
memory_create_space | Create a new space |
memory_delete_space | Delete a space |
memory_move_space | Move space to project |
memory_list_projects | List your projects |
memory_create_project | Create a new project |
memory_delete_project | Delete a project |
memory_link_project | Link directory to project |
memory_unlink_project | Unlink directory |
memory_current_project | Show linked project |
GitHub Integration
| Tool | Description |
|---|---|
memory_git_connect | Connect a GitHub repo |
memory_git_list | List connected repos |
memory_git_activate | Activate/deactivate webhook |
memory_git_sync | Import existing history |
memory_git_commits | List synced commits |
memory_git_prs | List synced PRs |
memory_git_disconnect | Disconnect a repo |
Issue Tracking
| Tool | Description |
|---|---|
issues_list | List your issues |
issues_create | Create a new issue |
issues_start | Mark as in progress |
issues_resolve | Mark as resolved |
issues_resolve_by_name | Resolve by title |
issues_assign | Assign to collaborator |
issues_what_next | Get recommendation |
Collaboration
| Tool | Description |
|---|---|
project_share | Share project by email |
collaborators_list | List collaborators |
Snapshots & Export
| Tool | Description |
|---|---|
memory_snapshot_create | Create a backup |
memory_snapshot_list | List all snapshots |
memory_snapshot_restore | Restore from backup |
memory_snapshot_delete | Delete a snapshot |
memory_export | Export to JSON/MD/CSV |
memory_import | Import from file |
Utility
| Tool | Description |
|---|---|
memory_stats | View usage statistics |
memory_relate | Link two items |
memory_help | Show help |
Natural Language Examples
You don't need to memorize commands — just talk naturally to your AI:
# Knowledge
"Save this: we use PostgreSQL for the main database"
"What database do we use?"
"List my spaces"
# GitHub
"Connect my repo github.com/myuser/myproject"
"What commits did I make today?"
"Show PRs merged this week"
# Issues
"Create an issue: Update the login page design"
"What's pending?"
"What should I work on next?"
"Mark the login issue as done"
Environment Variables
| Variable | Required | Description |
|---|---|---|
CONTEXTFORGE_API_KEY | Yes | Your API key from the dashboard |
CONTEXTFORGE_API_URL | No | API endpoint (defaults to production) |
CONTEXTFORGE_DEFAULT_SPACE | No | Default space for operations |
How it works
ContextForge MCP is a thin client that translates Model Context Protocol tool calls into authenticated HTTP requests against the ContextForge API. Your knowledge is stored, indexed (semantic embeddings), and retrieved on the server side — the MCP client itself is stateless.
This means:
- No infra to manage — no local databases, no embeddings to run, no vector stores to maintain
- Works everywhere your AI works — same memory across Claude Code, Cursor, Copilot, etc.
- Team collaboration — shared projects sync in real time
Dashboard
Manage your memory visually at contextforge.dev:
- View and organize your knowledge
- Search and filter memories
- Manage API keys and billing
- Track issues and collaborate
- Export and backup data
Development
# Clone and install
git clone https://github.com/alfredoizdev/contextforge-mcp.git
cd contextforge-mcp
npm install
# Build
npm run build
# Run tests
npm test
# Watch mode
npm run dev
Contributing
Issues and pull requests are welcome at github.com/alfredoizdev/contextforge-mcp.
Support
- 📖 Documentation
- 🐛 Report Issues
- 💬 Questions: support@contextforge.app
License
MIT © Alfredo Izquierdo
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