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Mcp builder ms

Skill ranbot-ai/awesome-skills/skills/mcp-builder-ms

Use this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).From its SKILL.md

Install
npx -y skills add ranbot-ai/awesome-skills --skill mcp-builder-ms

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SKILL.md

5.3 KB, ~1.1k tokens by cl100k_base, as published. Nobody here has run it

MCP Server Development Guide

When to Use

Use this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Overview

Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.


Microsoft MCP Ecosystem

Microsoft provides extensive MCP infrastructure for Azure and Foundry services. Understanding this ecosystem helps you decide whether to build custom servers or leverage existing ones.

Server Types

TypeTransportUse CaseExample
LocalstdioDesktop apps, single-user, local devAzure MCP Server via NPM/Docker
RemoteStreamable HTTPCloud services, multi-tenant, Agent Servicehttps://mcp.ai.azure.com (Foundry)

Microsoft MCP Servers

Before building a custom server, check if Microsoft already provides one:

ServerTypeDescription
Azure MCPLocal48+ Azure services (Storage, KeyVault, Cosmos, SQL, etc.)
Foundry MCPRemotehttps://mcp.ai.azure.com - Models, deployments, evals, agents
Fabric MCPLocalMicrosoft Fabric APIs, OneLake, item definitions
Playwright MCPLocalBrowser automation and testing
GitHub MCPRemotehttps://api.githubcopilot.com/mcp

Full ecosystem: See 🔷 Microsoft MCP Patterns for complete server catalog and patterns.

When to Use Microsoft vs Custom

ScenarioRecommendation
Azure service integrationUse Azure MCP Server (48 services covered)
AI Foundry agents/evalsUse Foundry MCP remote server
Custom internal APIsBuild custom server (this guide)
Third-party SaaS integrationBuild custom server (this guide)
Extending Azure MCPFollow Microsoft MCP Patterns

Process

🚀 High-Level Workflow

Creating a high-quality MCP server involves four main phases:

Phase 1: Deep Research and Planning

1.1 Understand Modern MCP Design

API Coverage vs. Workflow Tools: Balance comprehensive API endpoint coverage with specialized workflow tools. Workflow tools can be more convenient for specific tasks, while comprehensive coverage gives agents flexibility to compose operations. Performance varies by client—some clients benefit from code execution that combines basic tools, while others work better with higher-level workflows. When uncertain, prioritize comprehensive API coverage.

Tool Naming and Discoverability: Clear, descriptive tool names help agents find the right tools quickly. Use consistent prefixes (e.g., github_create_issue, github_list_repos) and action-oriented naming.

Context Management: Agents benefit from concise tool descriptions and the ability to filter/paginate results. Design tools that return focused, relevant data. Some clients support code execution which can help agents filter and process data efficiently.

Actionable Error Messages: Error messages should guide agents toward solutions with specific suggestions and next steps.

1.2 Study MCP Protocol Documentation

Navigate the MCP specification:

Start with the sitemap to find relevant pages: https://modelcontextprotocol.io/sitemap.xml

Then fetch specific pages with .md suffix for markdown format (e.g., https://modelcontextprotocol.io/specification/draft.md).

Key pages to review:

  • Specification overview and architecture
  • Transport mechanisms (streamable HTTP, stdio)
  • Tool, resource, and prompt definitions

1.3 Study Framework Documentation

Language Selection:

LanguageBest ForSDK
TypeScript (recommended)General MCP servers, broad compatibility@modelcontextprotocol/sdk
PythonData/ML pipelines, FastAPI integrationmcp (FastMCP)
C#/.NETAzure/Microsoft ecosystem, enterpriseMicrosoft.Mcp.Core

Transport Selection:

TransportUse CaseCharacteristics
Streamable HTTPRemote servers, multi-tenant, Agent ServiceStateless, scalable, requires auth
stdioLocal servers, desktop appsSimple, single-user, no network

Load framework documentation:

  • MCP Best Practices: 📋 View Best Practices - Core guidelines

For TypeScript (recommended):

  • TypeScript SDK: Use WebFetch to load https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md
  • ⚡ TypeScript Guide - TypeScript patterns and examples

For Python:

  • Python SDK: Use WebFetch to load https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md
  • 🐍 Python Guide - Python patterns and examples

For C#/.NET (Microsoft ecosystem):

  • 🔷 Microsoft MCP Patter

What ships with it

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