Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
claude mcp add contextforge-mcp -- npx -y contextforge-mcp{
"mcpServers": {
"contextforge-mcp": {
"command": "npx",
"args": ["-y", "contextforge-mcp"],
"env": {
"CONTEXTFORGE_API_KEY": "<contextforge_api_key>"
}
}
}
}CONTEXTFORGE_API_KEYResumen de MCP Servers
# ContextForge MCP — Persistent Memory for Claude, Cursor & Copilot
[](https://www.npmjs.com/package/contextforge-mcp)
[](https://opensource.org/licenses/MIT)
[](https://nodejs.org)
[](https://glama.ai/mcp/servers/alfredoizdev/contextforge-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
No install step needed — the setup below runs the server via `npx -y contextforge-mcp`, which fetches it on demand and keeps it up to date.
> Prefer a global install for slightly faster cold starts? `npm install -g contextforge-mcp` is optional; if you do it, you can drop the `npx -y` prefix from the commands below.
### 2. Get your API key
1. Go to **[contextforge.dev](https://contextforge.dev)**
2. Sign up (free tier available)
3. Settings → API Keys → **Generate API Key**
4. Copy your key (starts with `cf_`)
### 3. Connect to your AI tool
#### Claude Desktop
Edit `~/Library/Application Support/Claude/claude_desktop_config.json`:
```json
{
"mcpServers": {
"contextforge": {
"command": "npx",
"args": ["-y", "contextforge-mcp"],
"env": {
"CONTEXTFORGE_API_KEY": "your-api-key-here"
}
}
}
}
```
Restart Claude Desktop.
#### Claude Code (CLI)
```bash
claude mcp add contextforge -s user \
-e CONTEXTFORGE_API_KEY=your-api-key-here \
-- npx -y contextforge-mcp
```
Restart Claude Code and run `/mcp` to verify it's connected.
#### Cursor
Add to your Cursor MCP settings:
```json
{
"mcpServers": {
"contextforge": {
"command": "npx",
"args": ["-y", "contextforge-mcp"],
"env": {
"CONTEXTFORGE_API_KEY": "your-api-key-here"
}
}
}
}
```
#### GitHub Copilot (VS Code)
Add to your Copilot MCP config:
```json
{
"servers": {
"contextforge": {
"command": "npx",
"args": ["-y", "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:
```bash
npx contextforge-mcp init
```
By default, `init` auto-detects which editor your project uses and writes three 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
- **Startup Context rules** — load a short project summary (overview, open tasks, live sessions) from ContextForge at the start of every conversation
Files written:
- `CLAUDE.md` for Claude Code (signals: existing `CLAUDE.md` or `.claude/` directory)
- `.cursorrules` for Cursor (signals: existing `.cursorrules` or `.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 Startup Context 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](https://contextforge.dev)**:
- View and organize your knowledge
- Search and filter memories
- Manage API keys and billing
- Track issues and collaborate
- Export Lo que la gente pregunta sobre contextforge-mcp
¿Qué es alfredoizdev/contextforge-mcp?
+
alfredoizdev/contextforge-mcp es mcp servers para el ecosistema de Claude AI. Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Long-term memory via Model Context Protocol with semantic search, Git sync, and team collaboration. Tiene 2 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala contextforge-mcp?
+
Puedes instalar contextforge-mcp clonando el repositorio (https://github.com/alfredoizdev/contextforge-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar alfredoizdev/contextforge-mcp?
+
Nuestro agente de seguridad ha analizado alfredoizdev/contextforge-mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene alfredoizdev/contextforge-mcp?
+
alfredoizdev/contextforge-mcp es mantenido por alfredoizdev. La última actividad registrada en GitHub es de today, con 1 issues abiertos.
¿Hay alternativas a contextforge-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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