Orchestration State 3

Related plan: Orchestration Plan 3

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• ✅ Task 1 — Scaffold the forge-discovery MCP Server
  • ✅ Create directory: mcp-servers/forge-discovery/
  • ✅ Initialize TypeScript project: package.json, tsconfig.json
  • ✅ Install dependencies: @modelcontextprotocol/sdk, dotenv
  • ✅ Create entry point: src/index.ts — MCP server using Stdio transport
  • ✅ Add the MCP server to librechat.yaml
  • ✅ Verify the MCP server connects and tools are available to agents
• ✅ Task 2 — Implement Project Discovery Tools
  • ✅ list_departments: Read top-level directories, return each with README summary
  • ✅ list_projects(department): Read department Projects/ directories with name, phase, files
  • ✅ find_project(query): Fuzzy match across all departments for a project name
  • ✅ get_project_phase(project, department): Read Phase file, return current phase
  • ✅ get_project_files(project, department): List all files with metadata
• ✅ Task 3 — Implement Skill Discovery Tools
  • ✅ list_skills(department?): Read all SKILL.md files, optionally filter by department
  • ✅ find_skill(query): Fuzzy match on skill name and description
  • ✅ get_skill_details(skill, department?): Return full SKILL.md content
• ✅ Task 4 — Deploy forge-discovery MCP to Railway
  • ✅ Create Dockerfile for the MCP server
  • ✅ Create the Railway service (deployed as stdio MCP in librechat.yaml, matching forge-bash pattern)
  • ✅ Deploy and verify MCP server is reachable (config validated + deployed)
  • ✅ Test with an agent: call list_projects and list_skills