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mcp-builder

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

60

Quality

71%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./.agents/skills/mcp-builder/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

56%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is a well-organized, multi-phase workflow with concrete build/test commands, but it pads with rationale Claude already knows and delegates its executable code to reference files that are missing from the bundle. The progressive-disclosure structure is sound in design but broken in practice.

Suggestions

Include at least one complete, executable tool-implementation example (e.g., a minimal FastMCP or TypeScript SDK server.tool registration) directly in SKILL.md so the core task is actionable without missing reference files.

Fix the reference paths: the ./reference/*.md files (mcp_best_practices.md, node_mcp_server.md, python_mcp_server.md, evaluation.md) are not present in the bundle — either add them or correct the paths, and link the existing scripts/ (connections.py, evaluation.py, evaluation.xml) which are currently unreferenced.

Trim explanation Claude already knows (e.g., why TypeScript is recommended, repeated restating of the documentation-library links) and consolidate the inline phase links with the Reference Files section to remove redundancy.

DimensionReasoningScore

Conciseness

Mostly efficient bullet structure, but it includes unnecessary rationale Claude already knows (e.g., 'AI models are good at generating TypeScript code, benefiting from its broad usage, static typing and good linting tools') and repeats the same reference links both inline in the phases and again in the Reference Files library.

3 / 5

Actionability

Some concrete commands and URLs are present (npm run build, npx @modelcontextprotocol/inspector, python -m py_compile, WebFetch URLs, XML example), but the core tool-implementation guidance is abstract bullet lists ('Use Zod', 'Define outputSchema', 'Async/await') with no executable code in the body, and all delegated code lives in ./reference/*.md files that do not exist in the bundle.

3 / 5

Workflow Clarity

Four phases (Research, Implement, Review/Test, Evaluations) are clearly sequenced with concrete validation checkpoints (npm run build, MCP Inspector, py_compile), though Phase 4 lacks a verify-the-evaluations feedback loop.

4 / 5

Progressive Disclosure

The body is well-structured into phases and a one-level-deep Reference Files library, but the referenced ./reference/*.md files do not exist in the bundle while the only actual bundle (scripts/) is never referenced, so the disclosure structure is misaligned with the real files.

3 / 5

Total

13

/

20

Passed

Description

87%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is clear, third-person, and explicitly covers both capability and trigger conditions with concrete stack names. It is slightly above the midpoint on specificity and trigger coverage but fully satisfies completeness and distinctiveness.

DimensionReasoningScore

Specificity

Names the domain and several concrete actions (build MCP servers, integrate external APIs/services) plus specific stacks (Python/FastMCP, Node/TypeScript/MCP SDK), but the actions are high-level rather than an exhaustive enumeration, leaving minor coverage gaps.

4 / 5

Completeness

Explicitly answers both what ('Guide for creating high-quality MCP servers that enable LLMs to interact with external services through well-designed tools') and when ('Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK)') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural trigger terms ('building MCP servers', 'integrate external APIs or services', 'FastMCP', 'Node/TypeScript', 'MCP SDK') with concrete framework synonyms, though a few common variations are missing.

4 / 5

Distinctiveness Conflict Risk

Clear niche (MCP servers) with distinct, specific triggers (MCP, FastMCP, MCP SDK, external API integration) and minimal overlap risk with other skills.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 10 missing

Warning

Total

15

/

16

Passed

Repository
databricks/devhub
Reviewed

Table of Contents

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