Use Case

Design and Review a
Model Context Protocol Server.

Use practical guides and inspectable workflow manifests as starting points for MCP design. Validate authentication, permission boundaries, dependencies, and transport behavior in your own environment before deployment.

What You're Building

A Model Context Protocol server is a sidecar that exposes tools and resources to AI agents via a structured protocol. Instead of hardcoding API integrations into your agent, you expose them through MCP — and any MCP-compatible agent can use them.

Define once
Write your tool schema in JSON. MCP handles the transport.
Bind anything
REST APIs, databases, file systems, internal services — all via MCP.
Use everywhere
Any MCP-compatible agent — Claude, OpenAI, local models — connects.

Start With These

GUIDEMCP-Server-Builder

A practical guide to MCP server structure, authentication middleware, tool registration, resource handlers, and transport choices.

Includes: Architecture walkthrough + implementation examples
BLUEPRINTMCP-Audit

An inspectable review checklist for existing MCP server implementations, including tool permissions, scope boundaries, and authentication flows.

Includes: Audit checklist + permission and auth-flow review
GUIDEAPI-Test-Suite-Builder

A guide to designing endpoint tests that cover expected behavior, error handling, and permission boundaries.

Includes: Test-planning patterns + implementation examples

How It Fits Together

Your MCP Server (custom)
  ├── MCP-Server-Builder  ← design guide and examples
  ├── API-Test-Suite       ← test-planning guide
  └── MCP-Audit            ← review checklist

Any MCP-Compatible Agent
  └── Connects via stdio / SSE transport
      ↕
Your MCP Server
      ↕
Your APIs, DBs, Internal Services

Resources for your own review

Use the guides and historical source references to inform your own permission, authentication, and deployment checks. No active skill scanning or new assessment service is offered.