Publisher: Anthropic · Editorial profile by AI Tools Ratings · Review method
Not runtime tested; source-document review only. No security certification.
What task is this skill designed for?
Build a local read-only MCP server that exposes two approved lookup operations against a synthetic dataset.
What input and output should you expect?
Input: The allowed operations, data schema, intended client, transport requirements and the exact authentication boundary.
Output: Expected, not independently tested: a server implementation and evaluation cases. A generated server still needs security review, integration testing and deployment planning.
What does it need to run?
A current MCP SDK and a suitable Python or TypeScript environment, plus protocol and SDK documentation matching the selected versions. Access to a live external API is optional for a synthetic prototype and should not be requested by default.
Published by Anthropic as a Claude skill example; its repository documents Claude Code installation. Not independently installed or executed here.
How should you approach installation?
- Inspect the pinned skill and its framework references.
- Choose SDK versions from current official documentation and begin with synthetic local data.
- Review the exposed operations before connecting any real service or deploying the server.
Installation guide: discovery, dependencies and runtime checks
What files, accounts or data can it access?
Can generate code and run local services. When connected to real systems, exposed tools inherit the API permissions they are given; narrowly scoped read credentials are preferable for a lookup prototype.
What does the skill cost?
Skill source has no listed purchase price. API access, hosting and agent execution can incur separate costs.
What are its limits and alternatives?
Tool availability does not establish that authorization is correct. Pagination, retries, untrusted tool results and write operations require explicit design. Protocol and SDK versions can change independently of the skill source.
Use an existing maintained integration if it already exposes the required operations. Choose mcp-builder when a custom capability needs a stable, documented tool interface.
What could you ask in a small trial?
Try this with a small sample:
Design a local read-only MCP prototype for this synthetic catalog. Expose only list and lookup tools, document validation and errors, and propose tests before adding authentication or deployment.
How would you verify the result?
- Check malformed input and access-denied behavior as well as successful calls.
- Confirm no tool can reach an unintended operation or destination.
- Run representative client tasks and compare outputs with the underlying data.
Use a baseline and record acceptance evidence before treating a successful task as a reliable workflow.
Which source and license were checked?
Read the reviewed SKILL.md at its pinned commit · Complete reviewed folder
Repository and current publisher guidance
Checked:
Apache-2.0 — identified in skills/mcp-builder/LICENSE.txt at the reviewed commit. Third-party assets and dependencies may have separate terms. License evidence
Version details and review scope
Source: anthropics/skills/skills/mcp-builder
Reviewed commit: dbd4588f9e1033efb41dad4bef2f7947c8993d44
SKILL.md SHA-256: 0f4592dcb53cf2b5d6b7febee6b4152018b565551a1c29e3c612f57b218ab295
Source-document review. Source text and stated dependencies were inspected for this profile. Referenced code was not comprehensively audited, no runtime test was performed, and source files are not mirrored here.