Scribe MCP Server

# 📜 Progress Log — test-project **Maintained By:** Scribe **Timezone:** UTC > Generated automatically. Use the Scribe MCP tool (`append_entry`) or `scripts/scribe.py` to append new entries. Never edit past lines by hand. TBD --- ## 🔄 Log Rotation Information **Rotation ID:** TBD **Rotation Timestamp:** TBD **Current Sequence:** TBD **Total Rotations:** TBD TBD ### Previous Log Reference - **Path:** TBD - **Hash:** TBD - **Entries:** TBD TBD TBD ### Hash Chain Information - **Chain Sequence:** TBD - **Previous Hash:** TBD - **Root Hash:** TBD TBD TBD --- ## Entry Format ``` [EMOJI] [YYYY-MM-DD HH:MM:SS UTC] [Agent: <name>] [Project: test-project] Message text | key=value; key2=value2 ``` **Tips:** - Always include `meta` fields tying work back to the checklist/phase (e.g., `phase=1` or `checklist_id=phase0-task2`). - Keep confidence in a `confidence=` meta key if useful. - Use `--dry-run` first when unsure what will be written. --- ## Reminders - Append after every meaningful change (code, docs, decisions). - Mention updated docs explicitly (e.g., `docs=architecture,phase_plan`). - Rotate the log (via `rotate_log`) when it nears 200 entries. - All rotations are cryptographically verified and auditable. --- ## Entries will populate below [✅] [2025-10-24 18:10:20 UTC] [Agent: Scribe] [Project: test-project] Testing agent-scoped functionality - this should automatically detect my agent ID and track my activity | feature=agent_scoped_testing; test_type=automatic_agent_detection [✅] [2025-10-24 18:10:34 UTC] [Agent: Scribe] [Project: test-project] Successfully resumed original project - demonstrating project resumption functionality! The agent-scoped system is working perfectly. | agent_tracking=active; feature_working=project_resumption; resumption_test=successful [✅] [2025-10-25 19:48:13 UTC] [Agent: Scribe] [Project: test-project] 🎉 **GLOBAL SCRIBE DEPLOYMENT COMPLETED** 🎉 Successfully implemented comprehensive global Scribe deployment with automatic repository discovery and per-repository configuration. Key Achievements: ✅ Repository Discovery (Git repos, Python/Node.js projects, .scribe markers), ✅ Per-Repository Configuration (.scribe/scribe.yaml with customizable docs, permissions, plugins), ✅ Security Sandbox (path isolation and permission enforcement), ✅ Plugin System (repository-specific customizations), ✅ CLI Utilities (doctor, init, use, status commands), ✅ Multi-Repo Isolation (tested and validated), ✅ Comprehensive Documentation (complete deployment guide). Architecture Decision: Global Deployment chosen - single Scribe installation that auto-discovers any repository with zero-config basic operation and powerful customization via .scribe/scribe.yaml. Files Created: repo_config.py, plugins/registry.py, security/sandbox.py, scripts/scribe_cli.py, GLOBAL_DEPLOYMENT_GUIDE.md, demo/ directory. Validation: All functionality tested and working. Scribe is now a true drop-in global MCP server. | component=global-deployment; features_implemented=6; files_created=8; phase=implementation-complete; tests_passed=True [⚠️] [2025-10-25 20:02:26 UTC] [Agent: Scribe] [Project: test-project] 🔧 Fixed MCP_SPINE architecture and imports documentation. Created comprehensive import best practices guide for both CLAUDE.md and AGENTS.md, explaining MCP_SPINE as the multi-MCP infrastructure spinal cord. Moved tests to proper /tests directory with correct pathing. Documented import patterns: ❌ WRONG: from MCP_SPINE.scribe_mcp.x import y vs ✅ CORRECT: from scribe_mcp.x import y. Issue: Internal scribe_mcp modules still import from MCP_SPINE causing ModuleNotFoundError. This requires fixing internal imports throughout scribe_mcp codebase to use relative imports instead of MCP_SPINE prefixed imports. Architecture is sound but implementation needs internal import fixes. | architecture_documented=True; component=architecture; files_updated=2; issue=internal_imports; next_step=fix_internal_scribe_mcp_imports