Continuum
Automatically extracts architectural decisions, patterns, and insights from Git commits to build a local, structured project memory. It exposes this living context to AI tools via MCP, allowing them to understand the historical reasoning and evolutio
What is Continuum?
Continuum is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to automatically extracts architectural decisions, patterns, and insights from git commits to build a local, structured project memory. it exposes this living context to ai tools via mcp, allowing them t...
Automatically extracts architectural decisions, patterns, and insights from Git commits to build a local, structured project memory. It exposes this living context to AI tools via MCP, allowing them to understand the historical reasoning and evolutio
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Automatically extracts architectural decisions, patterns, an
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx continuumConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Continuum
Continuum is a local project-memory daemon that watches your Git commits in real time, extracts architectural decisions, patterns, and technology choices using Claude, and stores them in a structured knowledge base on your machine. It then exposes this accumulated project context to any MCP-compatible AI tool — Claude Code, Cursor, Continue.dev — so the AI understands not just the current code, but why it evolved the way it did. With tools like get_context, search_context, and developer_dna, an AI assistant can pull the exact historical reasoning behind a design decision without you having to re-explain your project from scratch every session.
Prerequisites
- Bun runtime installed (https://bun.sh)
- Claude Code CLI or another MCP-compatible client
- An active Git repository you want to track
- An Anthropic API key (Continuum uses claude-haiku by default for extraction)
- Internet access for the initial Claude API calls during extraction
Install Continuum globally via bunx
Run the init command to detect your Git projects and automatically configure the MCP integration for supported AI tools.
bunx continuum initStart the Continuum daemon
Launch the background daemon that watches for new commits and starts the MCP server on port 3100 (default).
bunx continuum startCheck status and verify projects are tracked
Confirm the daemon is running and your repositories have been picked up correctly.
bunx continuum statusGenerate a project snapshot (optional)
Create a CONTINUUM.md summary file in your project root containing the current accumulated knowledge — useful for onboarding or sharing context.
bunx continuum snapshot my-projectConfigure Claude Desktop manually (if init did not auto-configure)
Add Continuum's MCP server to your Claude Desktop configuration. The server runs on localhost:3100 by default.
{
"mcpServers": {
"continuum": {
"command": "bunx",
"args": ["continuum", "start"],
"env": {}
}
}
}Continuum Examples
Client configuration
Add this to claude_desktop_config.json. Continuum's daemon must be running (bunx continuum start) for the MCP tools to respond.
{
"mcpServers": {
"continuum": {
"command": "bunx",
"args": ["continuum", "start"],
"env": {}
}
}
}Prompts to try
These prompts leverage Continuum's MCP tools to surface historical project context during AI sessions.
- "Load the project context for my-app and summarize the key architectural decisions made so far"
- "Search the project memory for any decisions related to database migrations"
- "What patterns has the team consistently used in this project across all commits?"
- "Show me my developer DNA profile — what technologies and patterns do I use most?"
- "List all projects being tracked by Continuum and their memory counts"Troubleshooting Continuum
bunx command not found
Install Bun from https://bun.sh — run 'curl -fsSL https://bun.sh/install | bash' and restart your terminal. Verify with 'bun --version'.
MCP tools return empty results even after commits exist
Ensure the daemon is running ('bunx continuum status') and that the repository path in ~/.continuum/config.json matches your actual project path. Re-run 'bunx continuum init' if the project was added after the initial setup.
Claude extraction fails with API errors
Continuum calls the Anthropic API for extraction. Ensure ANTHROPIC_API_KEY is set in your environment or configured in ~/.continuum/config.json under the 'apiKey' field.
Frequently Asked Questions about Continuum
What is Continuum?
Continuum is a Model Context Protocol (MCP) server that automatically extracts architectural decisions, patterns, and insights from git commits to build a local, structured project memory. it exposes this living context to ai tools via mcp, allowing them to understand the historical reasoning and evolutio It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Continuum?
Follow the installation instructions on the Continuum GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Continuum?
Continuum works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Continuum free to use?
Yes, Continuum is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Browse More Knowledge & Memory MCP Servers
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Set Up Continuum in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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