Copilot Instructions
## Build & Run
```bash
dotnet build
dotnet run # Starts MCPserver on http://localhost:5168
```
Debug interactively with the MCP Inspector:
```bash
npx @modelcontextprotocol/inspector dotnet run
```
Connect the inspector
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GitHub Copilot instructions — GroupDocs.Comparison MCPServer
This repository is a standalone **MCP (Model Context Protocol) server** that exposes [GroupDocs.Comparison for .NET](https://products.groupdocs.com/comparison) as AI-callable tools for Claude
with year-over-year diff and validation, exposed as a CLI and an optional MCPserver.
## Build, test, lint
Managed with `uv` (`uv.lock` committed); Python ≥3.10, hatchling build backend. These
weekly HTML KPI report, a Power BI project, and a guarded MCPserver for AI agents. Python 3.10–3.14, `hatchling` build. Runtime deps: `pandas`, `sqlalchemy`, `sqlglot`, `jinja2`, `pyyaml` (+ optional `mcp
stack developer building a personal Kanban board tool with a custom UI and an MCPserver backend. Prioritize clean problem-solving, practical code, and a polished user experience over over
MySQL MCPServer - Copilot Instructions
## Project Overview
This is the **MySQL MCPServer**, a Model Context Protocol (MCP) server that gives
AI tools a safe, read-only window into
Cline / Zed)
Copy `mcp.example.json` to `mcp.json`, copy `.vscode/mcp.example.json` to `.vscode/mcp.json`, and start the server: `npm run mcp`
| Tool | Returns |
|------|---------|
| `agency_list_agents` | All agents with roles + audit days |
| `agency
stdio in Node.js and TypeScript. The codebase should stay organized around clear boundaries: the MCPserver surface in `src/server`, the EcoleDirecte HTTP transport in `src/ecoledirecte/http`, response normalization in `src/ecoledirecte/api`, auth
Copilot Instructions for kubectl-go-mcp-server
This is a Go project that implements a Model Context Protocol (MCP) server for Kubernetes operations using kubectl commands.
## Project Context
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Copilot Instructions for Fastmail MCPServer
## Project Overview
This is a Model Context Protocol (MCP) server for Fastmail that enables AI assistants to interact with Fastmail accounts via the JMAP
content' | base64 -d` instead, when `gh` is installed and authenticated.
- A newly-configured MCPserver won't appear mid-session no matter how many retries — the client process needs
MCP Tools:** The repository is configured with `.mcp.json`. You MUST utilize the `lousy-agents` MCPserver to evaluate and lint your skills.
- **Skill Reviewer (CRITICAL):** Before submitting any modifications
MCPServer Project
This workspace contains a Model Context Protocol (MCP) server for local development integration.
### Project Guidelines
- This is a TypeScript-based MCPserver
- Follow MCP protocol specifications
- Keep
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Before a big refactor**: call `impact_analysis` to understand blast radius.
## MCP Tools (dart-sentinel server)
| Tool | When to use |
|------|-------------|
| `get_architecture` | Before any architectural decision |
| `check_import` | Before adding
Memory Graph MCPServer - AI Agent Instructions
## Project Manager Instructions
You are an AI agent integrated with the Memory Graph . Your role is to assist developers by providing code suggestions
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fork of [Microsoft Playwright](https://github.com/microsoft/playwright) that adds **browser instance isolation** to the MCPserver. Each agent gets its own independent session (tabs, cookies, storage) through a single MCP
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existing state *and* a pre-req guardrail so new clients never hit it.
## Recommended MCPservers
This repo is Terraform/Azure-heavy. The **HashiCorp Terraform MCPserver** is the
most useful
documentation at <https://py.sdk.modelcontextprotocol.io/> and the protocol documentation at <https://modelcontextprotocol.io/> when changing the MCPserver.
Use the Azure Functions Python developer reference at <https://learn.microsoft.com/azure/azure-functions/functions-reference-python> when changing