workspaces under `packages/*`; the core engine is `packages/core`, the CLI `packages/cli`, the MCPserver `packages/mcp`, and agent-host integrations `packages/{claude,codex,cursor,opencode,zcode,vscode}`
## Commands
```bash
bun install
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uvicorn fibey.gateway.api_server:app --reload --port 8080
# Agent CLI only
uv run python -m fibey.agent.main
# Frontend only
cd ui && npm run dev
# Inventory MCP
cd services/inventory-mcp && uv sync
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project.
- `true-platform-testing` - Route and run the full 7-stage testing lifecycle.
## Katalon MCPserver
These workflows depend on the Katalon MCPserver.
- **VS Code**: `.vscode/mcp.json` (included) defines
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LumosAI/Agents/LumosAgents/main.py` — agent entrypoint and ADK app.
- `LumosAI/Tools/LumosDB/tools.yaml` — tool definitions for the toolbox.
- `LumosAI/Tools/LumosTradeTool/src/index.ts` — Node MCPserver entrypoint (Streamable HTTP at `/mcp`).
- `shell/_invoker.sh` — authoritative list of environment launcher actions and their
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packages:
- **Root** (`/`) - Workspace orchestration, shared devDependencies
- **Server** (`/server`) - Express REST API on port 3001 + MCPserver on port 3002
- **Client** (`/client`) - React SPA on port 3000 (Vite dev server proxies
absolute workspace root path, not a subdirectory.
- **Server owners**: configure `--root /absolute/path/to/project` in your MCPserver args (or set `CORTEXAST_ROOT` env var). This is the most reliable
Copilot Instructions — garmin-grafana-mcp-server
## What this project is
This is a **Model Context Protocol (MCP) server** built with **FastMCP** in Python.
It reads Garmin health and training data
multi-repo workspace, hits carry `[scope/]`
labels; narrow with `--in /`. With the graft MCPserver connected, the
same tools are `graft_find_code`, `graft_find_all`, `graft_file_api`,
`graft
build
- Build subpackage: npm -w packages/dns-checks run build
- Run local Worker dev server: npx wrangler dev
- Run tests (Workers runtime): npm test
- Run subpackage tests: npm -w packages/dns-checks run test
verification.
- For code navigation (definitions, references, callers, impact): prefer the language-server (LSP) MCP tools first; only fall back to grep/find/read if the others are unavailable.
## VibeFlow commands (use these
GitHubCopilotOptions(model="gpt-5.5", timeout=settings.copilot_timeout_seconds, on_permission_request=_approve_all, mcp_servers={...})`. **Never** import `GitHubCopilotChatClient`, `ChatAgent`, or `MCPStreamableHTTPTool` — they do not exist in this repo's agent
Copilot Instructions — Purview DLM Diagnostics MCPServer
## MCP Tool Selection (Runtime Diagnostics)
When using the dlm-diagnostics MCPserver tools:
| User Intent | Tool | Examples |
|-------------|------|----------|
| Reports a problem or error
serve`) — the mirror image (server side:
HTTP in, stdio out): spawns a local stdio MCPserver as a child process
and publishes it as a Streamable HTTP endpoint so clients
LAIN — Codebase Intelligence
You have access to the Lain MCPserver (tool prefix `mcp__lain__`). Lain indexes
the current workspace and exposes tools for structural queries, semantic
search, and code
commands/ai-readiness-assess.md` nor
`skills/ai-readiness-assessment/SKILL.md` may reference, invoke, or
depend on any other plugin, skill, agent, MCPserver, or external
service. The `dependencies` field in `.claude-plugin/plugin.json` must
remain absent
DocuMCP AI Coding Agent Instructions
DocuMCP is an intelligent MCPserver for GitHub Pages documentation deployment with 45+ tools, Knowledge Graph memory system, and AST-based code analysis.
## Architecture Essentials
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built with FastMCP that exposes Obsidian vault operations as tools, resources, and prompts.
```
obsidian-mcp-server/
├── obsidian_mcp/
│ ├── server.py # Entry point - creates FastMCP instance and registers all modules
│ ├── config.py # Pydantic