Analyze project architecture and MCP integration #11
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…on file Changes: - Updated mcp_client.py to spawn MCP Server as Docker container - Changed MCP_SERVER_PATH to MCP_SERVER_IMAGE environment variable - Default image: ghcr.io/sperekrestova/github-mcp-server:latest - Updated docker-compose.yml to mount Docker socket for container spawning - Added Dockerfile for mcp-bridge service - Updated documentation in README files This removes the dependency on having GitHub_MCP_Server cloned locally and uses the published Docker image instead, matching the official MCP Server deployment pattern. See: https://github.com/SPerekrestova/GitHub_MCP_Server
Added three levels of testing: 1. Configuration verification (no Docker needed) - test_docker_config.py 2. Integration testing (requires Docker) - test_docker_integration.py 3. Unit testing (mocked) - test_mcp_client_unit.py Documentation: - TESTING.md: Complete testing guide with manual steps - TEST_RESULTS.md: Current test results and validation report Configuration tests PASSED (7/7): ✅ mcp_client.py uses Docker command ✅ main.py uses MCP_SERVER_IMAGE ✅ .env.example has Docker config ✅ docker-compose.yml mounts Docker socket ✅ README documentation updated ✅ Dockerfile exists ✅ Docker command construction logic correct Integration testing requires Docker environment. Configuration is validated and ready for production.
Detailed architecture documentation including: - Complete system diagram with all components - Data flow examples - Deployment options - Key architectural decisions - Tech stack overview - Version history Shows the Docker-based MCP Server integration and how Frontend → MCP Bridge → MCP Server → GitHub API works.
SPerekrestova
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…on file
Changes:
This removes the dependency on having GitHub_MCP_Server cloned locally and uses the published Docker image instead, matching the official MCP Server deployment pattern.
See: https://github.com/SPerekrestova/GitHub_MCP_Server