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mcp-builder-ms

mlN/AIntermediateMCP Claude
🤖 AI Summary

Builds MCP servers to integrate external APIs, generating the full server code in Python (FastMCP) or Node/TypeScript (MCP SDK) based on your requirements.

How to Install

This skill comes from a community source.

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

Type Transport Use Case Example
Local stdio Desktop apps, single-user, local dev Azure MCP Server via NPM/Docker
Remote Streamable HTTP Cloud services, multi-tenant, Agent Service https://mcp.ai.azure.com (Foundry)

Microsoft MCP Servers

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

Server Type Description
Azure MCP Local 48+ Azure services (Storage, KeyVault, Cosmos, SQL, etc.)
Foundry MCP Remote https://mcp.ai.azure.com - Models, deployments, evals, agents
Fabric MCP Local Microsoft Fabric APIs, OneLake, item definitions
Playwright MCP Local Browser automation and testing
GitHub MCP Remote https://api.githubcopilot.com/mcp

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

When to Use Microsoft vs Custom

Scenario Recommendation
Azure service integration Use Azure MCP Server (48 services covered)
AI Foundry agents/evals Use Foundry MCP remote server
Custom internal APIs Build custom server (this guide)
Third-party SaaS integration Build custom server (this guide)
Extending Azure MCP Follow 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:

Language Best For SDK
TypeScript (recommended) General MCP servers, broad compatibility @modelcontextprotocol/sdk
Python Data/ML pipelines, FastAPI integration mcp (FastMCP)
C#/.NET Azure/Microsoft ecosystem, enterprise Microsoft.Mcp.Core

Transport Selection:

Transport Use Case Characteristics
Streamable HTTP Remote servers, multi-tenant, Agent Service Stateless, scalable, requires auth
stdio Local servers, desktop apps Simple, 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 Patterns -

Details

Category AI/ML → ml
Sourcecommunity
SKILL.mdView on GitHub →
Repo StarsN/A
Est. per SkillN/A (shared across 1230 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

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Works Well With

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