Project Manager MCP with SQLite database layer and atomic locking
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"project-manager-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Project Manager MCP [](https://badge.fury.io/py/project-manager-mcp) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) ## Quick Start ### Option 1: Claude Code Plugin (Recommended) The easiest way to get started with Claude Code: ```bash # Add the plugin marketplace /plugin marketplace add https://github.com/Commands-com/pm.git # Install the plugin /plugin install pm # Restart Claude Code - you're ready to go! ``` This automatically installs: - ✅ MCP server (via `uvx`) - ✅ All `/pm:*` slash commands - ✅ Specialized agents (adaptive-assessor, task-runner, etc.) ### Option 2: Manual Installation 1. **Install from PyPI** ```bash pip install project-manager-mcp # or uvx project-manager-mcp ``` 2. **Add MCP server to your AI assistant:** **Claude Code:** ```bash claude mcp add project-manager -- uvx project-manager-mcp ``` **Codex:** ```toml [mcp_servers.project-manager-mcp] command = "uvx" args = ["project-manager-mcp"] ``` **Gemini:** ```json "mcpServers": { "project-manager": { "type": "stdio", "command": "uvx", "args": ["project-manager-mcp"], "env": {} } } ``` 3. **Install Claude assets (commands & agents) to your project:** ```bash project-manager-mcp install-claude-assets --target-dir ~/my-project ``` ## Features A comprehensive project management system with Model Context Protocol (MCP) support, enabling AI agents to manage projects, epics, and tasks through both programmatic interfaces and a web dashboard. - **AI Agent Integration**: MCP tools for autonomous project management - **Web Dashboard**: Real-time web interface for project visualization - **Task Locking System**: Atomic operation…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.