Journal MCP Server Implementation

[nikomatsakis]

Journal MCP Server Implementation

Status: Planning

Current Understanding

Implementing a git-centric memory system that reimagines AI memory as organic, reflective practice. The journal server captures both current understanding (file contents) and collaborative journey (commit messages), aligning with natural exploration → synthesis → new exploration patterns.

Core architecture uses git as storage engine with markdown files for overviews and commit messages for incremental entries. Includes dual-dimension search (work context + content) with temporal salience.

Next Steps

• Initialize Python project with uv in journal-mcp-server/ directory
• Configure pyproject.toml with dependencies (sentence-transformers, mcp-server, pydantic)
• Set up mypy type checking and basic project structure
• Implement CLI argument handling for --data-file parameter
• Create JSON storage backend for Phase 1 prototype

Open Questions

• Search embedding model selection and performance characteristics
• Optimal JSON schema for representing journal tree structure
• Integration patterns with existing .ongoing files and tracking issues

Context

Fourth memory experimentation approach after official server, custom memory bank, and AI insights comments. Design documents completed at src/journal-mcp-server/ with full technical architecture. Ready to begin Phase 1: JSON prototype development.

Full implementation plan spans 5 phases over 10 weeks, starting with JSON prototype before migrating to git backend. This enables interface refinement before committing to git complexity.

[nikomatsakis]

Phase 1 Complete! 🎉

Session summary:

• Implemented complete JSON prototype with all 5 MCP tools working
• Set up Python project with uv, proper dependencies, and type checking
• Created comprehensive test suite with 100% pass rate
• All Phase 1.1 and 1.2 deliverables completed

Key achievements:

• ✅ Python project with uv: Configured with sentence-transformers, mcp, pydantic
• ✅ CLI argument handling: --data-file parameter working
• ✅ Type checking setup: mypy configured (relaxed for MCP integration)
• ✅ MCP server scaffold: All 5 tools registered and functional
• ✅ JSON storage backend: Atomic saves, nested sections, full persistence
• ✅ Dual-dimension search: Work context + content matching with temporal salience
• ✅ All 5 MCP tools: journal_read, journal_write, journal_search, journal_toc, journal_list_entries

Testing results:

• 6/6 tests passing (storage + integration tests)
• Semantic search working with sentence-transformers
• CLI help and basic functionality verified

Next steps:
Ready for Phase 2: Interface refinement and real-world collaborative testing. The JSON prototype validates the core journal concepts and provides a solid foundation for git migration.

Code location: journal-mcp-server/ with complete implementation and documentation.