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.
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.
A practical guide to MCP server structure, authentication middleware, tool registration, resource handlers, and transport choices.
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
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Your MCP Server
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Your APIs, DBs, Internal ServicesBrowse the registry, review MCP-related blueprints and dispatches, and inspect the public catalog-only JSON endpoint. That endpoint does not implement MCP tool invocation or installation.
Submit one MCP repository for provenance review, active scanner evidence, human analysis, and a remediation rescan. Blueprints remain free.
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