build-mcp skillA
build-mcp is agent-read markdown (skill) from techwolf-ai/ai-first-toolkit: Build an MCP server end to end, tailored to how it will be used. Use when asked to build an MCP, create an MCP server, wrap an API as a tool, make a tool for Claude, expose a service to an agent, build a Claude connector, or turn a service into MCP tools. Asks up front who the server is for (just me, my org, or public) and what it wraps, then walks through analyze, build, deploy, scale, and distribute with steps tailored to that answer. Builds on the example-skills:mcp-builder skill for implemen.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Build MCP Build a Model Context Protocol (MCP) server the right way, end to end. The defining move of this skill: establish the user's context with `AskUserQuestion` before building anything, then tailor every phase to that context. A personal local server and a public hosted server share almost no steps past "build", so branch early and commit to the branch. ## How this relates to mcp-builder The Anthropic `example-skills:mcp-builder` skill is the gold-standard reference for the *implementation* itself: FastMCP and TypeScript SDK patterns, tool design, input/output schemas, annotations, error handling, and evaluation. Do not duplicate it. This skill is the **scope-and-distribution wrapper around it**: it decides what to build, for whom, where it runs, and how it ships. When you reach the build phase, invoke `example-skills:mcp-builder` for the deep implementation guidance and keep this skill's references thin. ## The five phases 1. **Analyze**: understand the service to wrap and pick the right tool boundaries. 2. **Build**: scaffold and implement the server (delegates to mcp-builder). 3. **Deploy**: get it running and registered for the target runtime. …
Read the whole file at its exact version.
How to install
mdr add techwolf-ai/ai-first-toolkit/build-mcp@git:20260610.f78d26dmdr add techwolf-ai/ai-first-toolkit/build-mcp@sha256:e37bcb7db9827263Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_hhsf7dpypepnhjca)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11653 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
techwolf-ai/ai-first-toolkit · 100 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hhsf7dpypepnhjca GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/build-mcp GET https://markdownregistry.com/api/v1/blob/e37bcb7db98272638f56763d069b051c16743925d5b4d3ec6655e8af1dbea9a3
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.