Skip to main content
Glama
wblair8689
by wblair8689

Project Context MCP Server

A Model Context Protocol (MCP) server that provides unified project context and monitoring capabilities for development projects.

Features

  • Project Status Monitoring: Get comprehensive project health and readiness metrics

  • Build Diagnostics: Track build errors, warnings, and solutions (when Xcode monitoring enabled)

  • Git Integration: Monitor repository status, branches, and commits

  • Infrastructure Checking: Validate project structure and dependencies

  • Conversation Context: Initialize development sessions with full project context

  • Configurable Monitoring: Enable/disable specific monitoring features per project

Installation

  1. Clone this repository:

    git clone <repository-url> cd project-context-mcp
  2. Install dependencies:

    pip install -r requirements.txt

Usage

Standalone Server

python run_modular_server.py --project-root /path/to/your/project --transport stdio

As MCP Server

Add to your Claude configuration:

{ "mcpServers": { "project-context": { "command": "python", "args": ["/path/to/project-context-mcp/run_modular_server.py", "--project-root", "/path/to/your/project"], "cwd": "/path/to/project-context-mcp" } } }

Configuration

The server creates a config/project_config.json file in your project directory with settings:

  • project_name: Display name for your project

  • current_phase: Development phase description

  • xcode_monitoring.enabled: Enable/disable Xcode-specific features

  • feature_groups: Project components to monitor

Available Tools

  • get_project_status(): Get unified project status and health metrics

  • get_diagnostics(): Get build errors and warnings with solutions

  • build(): Trigger build and get immediate feedback

  • fix_error(error_message, solution): Apply fix and record solution

License

MIT License

-
security - not tested
F
license - not found
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/wblair8689/project-context-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server