Scaffolds and ships MCP servers in Python (FastMCP) or TypeScript (@modelcontextprotocol/sdk) — tools designed around workflows rather than raw endpoints, with model-guiding schemas and error messages, pagination, a direct-call test harness, and wiring into .mcp.json or claude mcp add. Use when the user says "build an MCP server for X", "wrap this API so Claude can call it", "add a tool to our server", or "connect Claude to our internal service".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# MCP Builder — Tool Wright
> "Wire up MCP servers"
A tool is UX for a model: obvious names, forgiving inputs, errors that say what to do next.
## When to use
- "Build an MCP server for <API or service>" — GitHub, Jira, a database, an internal REST API
- "Wrap this API so Claude can call it" / "connect Claude to our ticketing system"
- Adding, renaming, or hardening tools on an existing server
- A server's tools confuse the model — vague names, loose schemas, cryptic errors
- Choosing Python vs TypeScript for a new integration
## Workflow
1. Pick the stack. Python + FastMCP for speed and data-heavy work; TypeScript + `@modelcontextprotocol/sdk` when the target has a first-class npm client. Match the host repo's language when embedding.
2. Design around workflows, not endpoints. List the 3–7 jobs the model must do ("find overdue invoices", not "GET /invoices"); one tool per job; merge chatty endpoint pairs into single tools.
3. Name and specify. `verb_noun` tool names. Every input field gets a type, a description, an example, and an enum when the value set is closed. Required vs optional is explicit.
…
The line at the top of this page pins the label git:20260711.2713ff9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (4001 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
GitHub
alebgl77/claude-inc · 22 stars · license MIT · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f6pmbxquk3y4453f
GET https://markdownregistry.com/api/v1/resolve?ref=alebgl77/claude-inc/mcp-builder
GET https://markdownregistry.com/api/v1/blob/8cf25e89a415170e9eb7e1d86664b2a974437444502ecaf9ed1f1fe8c83baa6f
Your AI assistant 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.
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