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
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
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
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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Global Instructions
## Project Context
This is Scholar Agent — a knowledge flywheel MCPserver with an academic paper research pipeline. It combines domain knowledge retrieval, structured research synthesis, and academic paper
Simple Memory MCPServer
TypeScript MCPserver for persistent memory storage with SQLite FTS5. Works as both MCPserver and CLI tool.
## Quick Reference
### Build & Test (All operations < 10 seconds
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individual components.
- MCP automation is a first-class surface. `src/devtools/mcp-server.ts` starts the app’s MCPserver and registers tool groups from `src/devtools/tools/*`. The integration suites in `tests/suites/*` talk
server and client SDK for SignNow API integration, organized under `src/`.
- Major components:
- `sn_mcp_server/`: Main server logic, CLI, authentication, and tool integrations.
- `signnow_client/`: Handles SignNow API communication
GitHub Copilot Instructions for gitlab-mcp
## Project Overview
This is a GitLab MCP (Model Context Protocol) server that provides GitLab API access through standardized MCP tools. The project uses TypeScript
JSONL
- AI-optimized CLI with JSON output
- Built-in daemon for background operations
- MCPserver integration for Claude and other AI assistants
## Issue Tracking with bd
**CRITICAL**: This project uses
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state is written to `.service-approval/ /` (per-service layout) in the current working directory.
## MCPservers
Registered via `.vscode/mcp.json`. Confirm these are reachable before starting the skill:
- `aws-documentation` (stdio
plain website with no API docs into a safe, typed, audit-logged MCPserver
-- read-only by default, every call audit-logged, no hand-written adapter
code or hand-maintained
This VS Code extension manages AI assistant catalog resources (chat modes, instructions, prompts, tasks, MCPservers) across multiple repositories. It provides centralized discovery, activation, and "Hats" (preset) functionality
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