Contextforge
FreeNot checkedPersistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code
About
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.
README
npm version License: MIT Node.js Glama MCP
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"
}
}
}
}
4. Initialize your project (required)
Set up your project so your AI editor knows to use ContextForge memory:
npx contextforge-mcp init
By default, init auto-detects which editor your project uses and writes two rule sections:
- Memory rules — route memory questions to ContextForge instead of the built-in file memory
- Session Presence rules — make parallel sessions check for each other at conversation start and before big changes
Files written:
CLAUDE.mdfor Claude Code (signals: existingCLAUDE.mdor.claude/directory).cursorrulesfor Cursor (signals: existing.cursorrulesor.cursor/directory)
If no editor is detected, both files are generated.
Without this step, your AI will silently ignore ContextForge for memory queries — even though the MCP is connected — because the built-in auto-memory wins by default.
Override with --editor
| Flag | Behavior |
|---|---|
--editor=claude |
Generate only CLAUDE.md |
--editor=cursor |
Generate only .cursorrules |
--editor=all |
Generate both, skip detection |
Re-running init is idempotent per section — sections you already have are left untouched; missing ones are appended. Upgrading from an older version? Just re-run npx contextforge-mcp init: it adds the new Session Presence section without touching the rest of your file.
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 |
Session Presence (multi-session coordination)
Running several Claude Code sessions in parallel (worktrees, agent teams)? Each MCP process automatically registers itself as a live session and heartbeats while it runs. On a clean exit the session is removed at once (a detached helper delivers the goodbye even while the host process is being killed); if the process dies hard, the session expires ~10 minutes after its last heartbeat. Three tools let the agent coordinate:
| Tool | What it does |
|---|---|
session_update |
Declare what this session is working on ("working on the auth module") |
session_list |
See other live sessions in the same project and their focus before touching shared areas (pass all_projects: true for the whole org) |
session_end |
Explicitly end this session's presence (also automatic on exit) |
By default session_list is scoped to the current project — where work
actually collides. In a multi-project organization, pass all_projects: true
to see every session, or project: "<name-or-id>" to scope elsewhere.
Recommended pattern for your CLAUDE.md: call session_list when a
conversation starts; call session_update when starting or switching tasks.
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: [email protected]
License
MIT © Alfredo Izquierdo
Install Contextforge in Claude Desktop, Claude Code & Cursor
unyly install contextforge-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add contextforge-mcp -- npx -y contextforge-mcpFAQ
Is Contextforge MCP free?
Yes, Contextforge MCP is free — one-click install via Unyly at no cost.
Does Contextforge need an API key?
No, Contextforge runs without API keys or environment variables.
Is Contextforge hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Contextforge in Claude Desktop, Claude Code or Cursor?
Open Contextforge on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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