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Promem-MCP

Project Memory MCP — persistent project context for AI coding agents. Built by DIP-RO.

pip install promem-mcp

No database. No cloud. No daemon. No manual memory management.

ContextMCP is a local-first, MCP-native context runtime that gives AI coding agents persistent project understanding — architecture, rules, decisions, conventions, environment intelligence, and Git context — without repeated explanations or context waste.

Quick Start

pip install promem-mcp

Then register ContextMCP with your AI coding client:

# See which clients are detected
promem config

# Auto-configure a specific client (with backup + merge)
promem config cursor
promem config claude-code
promem config claude-desktop
promem config vscode

Or manually add to your client's MCP config:

{
  "mcpServers": {
    "contextmcp": {
      "command": "contextmcp",
      "args": []
    }
  }
}

VS Code note: VS Code uses "servers" key, not "mcpServers". Run promem config vscode for the correct format.

That's it. Your AI coding agent now has persistent project context.

How It Works

pip install promem-mcp
        │
        ▼
┌───────────────────┐
│    ContextMCP     │
│  Python Package   │
└─────────┬─────────┘
          │
  automatic project detection
          │
  ┌───────┼───────┐
  ▼       ▼       ▼
Project  Env    Git
Context  Context Context
  │       │       │
  └───────┼───────┘
          ▼
  Persistent Memory (SQLite)
          ▼
  Intelligent Retrieval (FTS5)
          ▼
  Token Optimization
          ▼
  MCP Server (stdio)
          ▼
  AI Coding Agent

Features

  • Zero-setup storage — SQLite database created automatically in OS-appropriate directory
  • Automatic project detection — language, framework, package manager, test framework
  • Persistent memory — rules, decisions, conventions, environment facts, Git intelligence
  • Token-efficient retrieval — FTS5 search with token budgeting, returns only relevant context
  • Provenance tracking — every memory knows where it came from and how confident it is
  • Secret redaction — API keys, tokens, passwords are never stored or returned
  • Project isolation — project memories never leak across projects
  • Stale context detection — flags memories that conflict with current project state
  • Contradiction detection — identifies conflicting project rules
  • Session continuity — handoff summaries for switching between agents/sessions
  • Git intelligence — recent commits, changed files, TODOs/FIXMEs
  • Environment diagnostics — Python version, venv, .env completeness, Docker
  • Local-first — no network requests, no cloud, no external services

MCP Tools

Tool Description
ctx_search Search persistent project context with token budget
ctx_get Get a specific memory by ID
ctx_save Save a memory, decision, rule, or fact
ctx_update Update an existing memory
ctx_delete Delete a memory
ctx_project Get current project information
ctx_rules Get all project rules and conventions
ctx_decisions Get all technical/architecture decisions
ctx_recent Get recent memories and latest session
ctx_git Get Git intelligence
ctx_environment Get environment intelligence
ctx_diagnostics Run environment diagnostics
ctx_summary Get compact project summary for handoff

CLI

contextmcp --version        # Version
promem status           # Project + storage status
promem doctor           # Health checks
promem stats            # Usage statistics
promem search "query"   # Search context
promem memory list      # List memories
promem decision "text"  # Save a decision
promem privacy          # Privacy info
promem config           # Client configuration
promem repair           # Rebuild index, optimize DB
promem reset            # Delete all data (with confirmation)

Client Support

Client Auto-config? Config Key
Claude Code promem config claude-code mcpServers
Claude Desktop promem config claude-desktop mcpServers
Cursor promem config cursor mcpServers
VS Code / Copilot promem config vscode servers
OpenCode promem config opencode mcp
Gemini CLI promem config gemini-cli mcpServers
Windsurf promem config windsurf mcpServers
Cline promem config cline mcpServers
Roo Code promem config roo-code mcpServers
Amazon Q promem config amazon-q mcpServers
ZCode (GLM/Zhipu) promem config zcode mcpServers
Tabnine promem config tabnine mcpServers

No client supports true zero-config auto-registration. ContextMCP detects installed clients, offers to write config (with backup + merge), and provides exact copy-paste snippets.

Privacy

  • Local only — no network requests
  • Project contents not uploaded
  • Secrets redacted — never stored or returned
  • No cloud dependencies
promem privacy

Storage Location

ContextMCP uses project-local storage — no centralized OS directory, no wasted space.

Location Path
Project-local (default) <project-root>/.contextmcp/

Each project gets its own .contextmcp/contextmcp.db. Storage travels with the project. No global storage bloat.

Add .contextmcp/ to your .gitignore (already included by default in ContextMCP's ignore patterns).

Override with CONTEXTMCP_DATA_DIR environment variable if needed.

Installation

# pip
pip install promem-mcp

# uv
uv add contextmcp

# pipx (global CLI)
pipx install contextmcp

Works in venv, virtualenv, uv, pipx, and system Python.

Development

git clone https://github.com/contextmcp/contextmcp.git
cd contextmcp
pip install -e ".[dev]"
pytest

License

MIT

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