@context-anchor/mcp-server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@context-anchor/mcp-serverget context for the auth feature"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
context-anchor
Git-native context layer for AI-assisted development.
LLMs forget. Every new session, every tool switch — you re-explain the stack, the decisions, the constraints. Context Anchor externalizes that knowledge into versioned markdown files that any LLM can read, any time.
Built on the MCP protocol. Works with Claude Code, Cursor, and any MCP-compatible client.
The problem
When you work with AI across multiple sessions or tools, context erodes. The model remembers what you decided but forgets why. You keep conversations alive longer than you should — not because they're productive, but because closing them means losing everything.
Context Anchor solves this by treating context as infrastructure, not conversation.
How it works
.context/
project.md ← stack, principles, conventions (stable)
features/
auth.md ← decisions, constraints, open questions, state
payments.md
history/ ← automatic snapshots on every git commitYour MCP-compatible editor calls get_context at the start of every task. The LLM gets full project + feature context in seconds — warm start, every session.
Install
npm install -g @context-anchor/cliOr with pnpm:
pnpm add -g @context-anchor/cliUsage
# Initialize in your project
ctx init --interactive
# Create a feature context doc
ctx new-feature "user auth"
# Start the MCP server
ctx serve
# Check status
ctx status
# Export context for a specific LLM
ctx export claude
ctx export openai --feature user-auth
ctx export cursor --copy
# Manual snapshot
ctx snapshot
# Install git hook (auto-snapshot on commit)
ctx install-hookMCP Tools
Once ctx serve is running, your editor has access to:
Tool | Description |
| Get project + feature context. Call at the start of every task. |
| List all feature docs with status. |
| Record a decision after it's made. |
| Export context formatted for a specific LLM. |
Connecting to your editor
Cursor
Add to your Cursor MCP config (~/.cursor/mcp.json):
{
"mcpServers": {
"context-anchor": {
"command": "node",
"args": ["/path/to/context-anchor/packages/server/dist/index.js"]
}
}
}Claude Code
{
"mcpServers": {
"context-anchor": {
"command": "ctx",
"args": ["serve"]
}
}
}Project context format
.context/project.md — edit once, rarely update:
# My Project
## Stack
- Next.js 14, Node.js, PostgreSQL
## Principles
- Mobile-first, offline-capable
- Multi-tenant: always scope queries by tenantId
## Conventions
- Functional services, no classes
- Result pattern for error handling.context/features/auth.md — evolves per session:
# Feature: Auth
## Decisions
| Decision | Reason | Rejected |
|---|---|---|
| JWT stateless | No session store needed | Sessions (infra overhead) |
## Constraints
- Tokens expire in 7 days
- Refresh tokens stored in httpOnly cookie
## Open Questions
- [ ] OAuth providers for v2?
## State
- [x] Login + register
- [ ] Password resetWhy not just use Cursor's memory / Claude Projects?
Those tools operate at the project level — they remember your stack, not your feature-level decisions. They don't capture why you chose one approach over another, what was rejected, or what's still open. And they're locked to one tool.
Context Anchor is portable, versionable, and works across every LLM you use.
Roadmap
MCP server (get, list, update, export)
CLI (init, serve, status, new-feature, snapshot, export)
Git hook for automatic snapshots
Multi-LLM formatter (Claude, OpenAI, Gemini, Cursor)
diffbetween snapshotsTeam sync (shared context across developers)
Web dashboard
VS Code extension
Built with
TypeScript, pnpm workspaces
License
MIT
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