samskriti-project

A local MCP server that lets multiple AI coding tools share structured project state — decisions, tasks, bugs — so they coordinate without re-explaining.

   Claude Code      Cursor        Codex
       │              │             │
       │  read/write  │  read/write │
       └──────────────┼─────────────┘
                      ▼
            ┌───────────────────────┐
            │   samskriti-project   │   (local MCP server, stdio)
            └───────────┬───────────┘
                        ▼
              ┌───────────────────┐
              │   SQLite store    │   ~/.samskriti/  (100% local)
              └───────────────────┘

The problem

You make a decision with one AI tool, then switch to another and have to re-explain everything from scratch. Each assistant starts cold, with no idea what was already decided, tried, or rejected. This server gives them a shared, structured ledger of your project so any tool can read what the others wrote.

Related MCP server: anchor-mcp

Install

Install with pipx (recommended — this puts the samskriti-project command on your PATH so your AI tools can find it):

pipx install git+https://github.com/Escalate17/samskriti-project

Don't have pipx? Install it first: python3 -m pip install --user pipx && python3 -m pipx ensurepath (then restart your terminal).

To verify the install worked:

samskriti-project --help

If you see the help text, you're ready to connect it.

Connect

Add the server to your AI tool's MCP config, then fully restart the tool.

Claude Code (~/.claude.json):

{
  "mcpServers": {
    "samskriti-project": {
      "command": "samskriti-project",
      "args": []
    }
  }
}

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "samskriti-project": {
      "command": "samskriti-project",
      "args": []
    }
  }
}

Codex (~/.codex/config.toml):

[mcp_servers.samskriti-project]
command = "samskriti-project"
args = []

If your tool can't find the command, it's a PATH issue — run which samskriti-project to get the full path, and use that full path as the command value instead.

Verify it's connected

In Claude Code, type /mcp — you should see samskriti-project listed with its 5 tools. (Cursor and Codex have similar MCP status indicators in their settings.)

Tools

• record_project_entry — store an entry (goal, update, decision, convention, bug, task, rejected_idea).

• get_project_state — read a readable summary, grouped by category.

• search_project_state — keyword search across entries.

• update_project_entry — edit an entry's title, content, or status.

• list_projects — list all tracked projects.

Try it in 30 seconds

1. In tool A (e.g. Claude Code): "Record a decision in project 'demo': we're using SQLite for local storage."

2. In tool B (e.g. Cursor): "Get the project state for 'demo'."

Tool B reads back the decision tool A just wrote — no re-explaining.

Demo

Privacy

100% local. No cloud, no account, your data never leaves your machine. State is stored in a SQLite database under ~/.samskriti/ (override with the SAMSKRITI_HOME or SAMSKRITI_PROJECT_DB environment variable). Your AI client's own data and privacy policies still apply.

Status

Early / validating. This is a working prototype being tested with real workflows. Bugs, rough edges, and missing features are expected — issues and feedback are very welcome.

License

MIT — see LICENSE.