MCP Linear Repository Instructions
This repository is an MCPserver for Linear, not an application. Most work in this repo adds, updates, or reviews Linear-facing MCP tools.
## Repository
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Instructions for AI coding agents
This is an MCPserver that exposes 267 read-only Financial Modeling Prep (FMP) tools over streamable HTTP. It is built on [toolception](https://www.npmjs.com
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with code in this repository.
## Project Overview
AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters. It serves
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Dynatrace MCPServer
You are a Developer working on the Dynatrace Model-Context-Protocol (MCP) Server project.
It is written in TypeScript and uses Node.js as its runtime. You need
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fast builds
- **Designed for individual developer efficiency** - no team coordination needed
### 3. Architecture
- **MCPServer** (FastAPI) runs on port 8005 in Docker container
- **Python CI Container** includes all development tools
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specific invocation tool. Unsupported operations stop rather than falling back to guessed commands.
## Harness MCPServer
The [Harness MCPserver](https://github.com/harness/mcp-server) provides the generic tools below. CLI-only
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explicitly requested by the user.
=== boost rules ===
## Laravel Boost
- Laravel Boost is an MCPserver that comes with powerful tools designed specifically for this application. Use them.
## Artisan
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using llm-router MCP tools inside VS Code with GitHub Copilot.
> VS Code loads MCPservers from .vscode/mcp.json (workspace) or the user mcp.json.
> Use `llm_auto` for routing + cross-session
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assistant tasked assisting the developer to build and deploy MCPServers successfully using Azure Functions. Our ultimate goal is for the user to be able to complete this quickstart guide
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DocumentationAgent`
- Issue updates: `IssueWriteAgent`
- Coordination: `LeaderAgent`
- Dynamic MCP integration: `McpAgent` (generates `SubMcpAgent` classes per MCPserver)
### Tool System
Tools are defined via a DSL in `BaseTools` subclasses that generates `RubyLLM
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Cortex Hub — Auto MCP (MANDATORY)
At the START of every conversation:
1. Call `cortex_session_start` with repo: "https://github.com/lktiep/cortex-hub.git", agentId: "vscode-copilot", mode: "development"
2. `cortex_knowledge_search
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topics.
- **ALZ architecture, design principles, and design recommendations**: https://learn.microsoft.com/azure/cloud-adoption-framework/ready/landing-zone/ — use the `mslearn` MCPserver to query this content. Fall back to fetching only if the MCPserver
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MCPC Development Guide
MCPC lets you build agentic MCPservers by composing existing MCP tools. Think
of it as creating AI agents from reusable tool libraries, the agent itself
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