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FastMCP Server Review Capability Pack Skill

Expert FastMCP review skill for auditing Python MCP server structure, tools, resources, prompts, transports, and deployment readiness before release.

Level:expertType:capability-packVerified:validated
Review first review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://gofastmcp.com/servers/server, https://github.com/PrefectHQ/fastmcp
Safety notes
Installing FastMCP adds Python packages to the selected environment; use an isolated project environment and pin the reviewed version., Reviewing a server can exercise tool, resource, and prompt paths; use controlled fixtures and avoid live side effects unless the release plan explicitly permits them., The source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision., Treat destructive tools, write-capable resources, network calls, and long-running jobs as release-blocking until their behavior is documented and tested.
Privacy notes
FastMCP tools and resources can expose files, API responses, database records, prompts, and application state., Keep review notes focused on public source links, object names, version data, and summarized findings; omit operational details that do not need to be public.
Platform compatibility
claude-code (native-skill), codex (native-skill), windsurf (native-skill), gemini (native-skill), cursor (adapter), cli (manual-context)
Author
oktofeesh1
Submitted by
oktofeesh1
Claim status
unclaimed
Last verified
2026-06-03

Decision playbook

Review trust signals before you adopt

Signals are present but mixed. Use the checklist below to confirm the source and operational safety for your environment.

Compare context
Selected

0

Current score

86

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as source-backed.

    Done
  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Needs review

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    No package verification flag provided.

    Pending
  • Checksum metadata

    No checksum provided for downloaded artifact.

    Pending

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Package install

Copy-ready — paste the snippet to get started.

Adoption plan

Balanced adoption plan

Current risk score 16/100. Use staged verification before broader rollout.

Risk 16

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    Listing has review metadata.

    Done
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    No package verification/checksum metadata.

    Pending

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Required evidence gates are covered (5/6 signals complete).

Risk 15

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Missing

Package integrity metadata is missing.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required evidence gates are covered for this preset.

Decision timeline

Decision timeline · balanced

5/6 steps complete with no blocking gaps for this preset.

Risk 14

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is missing.

Pending

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

No required blockers for this timeline preset.

Prerequisite readiness

Prerequisite readiness

5 prerequisites to line up before setup. Includes a review or approval gate.

0/5 ready
Install & runtime2Network & hosting1Review & approval1General1

Safety & privacy surface

Safety & privacy surface

4 safety and 2 privacy notes across 4 risk areas. Review closely: network access.

4 areas
  • SafetyExecution & processesInstalling FastMCP adds Python packages to the selected environment; use an isolated project environment and pin the reviewed version.
  • SafetyLocal filesReviewing a server can exercise tool, resource, and prompt paths; use controlled fixtures and avoid live side effects unless the release plan explicitly permits them.
  • SafetyGeneralThe source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision.
  • SafetyNetwork accessTreat destructive tools, write-capable resources, network calls, and long-running jobs as release-blocking until their behavior is documented and tested.
  • PrivacyLocal filesFastMCP tools and resources can expose files, API responses, database records, prompts, and application state.
  • PrivacyGeneralKeep review notes focused on public source links, object names, version data, and summarized findings; omit operational details that do not need to be public.

Safety notes

  • Installing FastMCP adds Python packages to the selected environment; use an isolated project environment and pin the reviewed version.
  • Reviewing a server can exercise tool, resource, and prompt paths; use controlled fixtures and avoid live side effects unless the release plan explicitly permits them.
  • The source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision.
  • Treat destructive tools, write-capable resources, network calls, and long-running jobs as release-blocking until their behavior is documented and tested.

Privacy notes

  • FastMCP tools and resources can expose files, API responses, database records, prompts, and application state.
  • Keep review notes focused on public source links, object names, version data, and summarized findings; omit operational details that do not need to be public.

Prerequisites

  • FastMCP server implementation, pull request, or design draft
  • Python environment compatible with FastMCP 3.4.0 and Python 3.10 or newer
  • Tool, resource, prompt, transport, and deployment target inventory
  • Expected client behavior and sample inputs for critical tools
  • Approval to inspect the server code, configuration, and review fixtures

Schema details

Install type
package
Reading time
9 min
Troubleshooting
Yes
Source repository stats
Scope
Source repo
Skill and platform metadata
Skill type
capability-pack
Skill level
expert
Verification
validated
Verified at
2026-06-03
Retrieval sources
https://gofastmcp.com/getting-started/welcomehttps://gofastmcp.com/servers/serverhttps://gofastmcp.com/servers/toolshttps://gofastmcp.com/servers/resourceshttps://gofastmcp.com/servers/promptshttps://gofastmcp.com/deployment/running-serverhttps://gofastmcp.com/patterns/clihttps://pypi.org/pypi/fastmcp/3.4.0/jsonhttps://raw.githubusercontent.com/PrefectHQ/fastmcp/v3.4.0/pyproject.tomlhttps://raw.githubusercontent.com/PrefectHQ/fastmcp/v3.4.0/README.md
Tested platforms
ClaudeCodexWindsurfGeminiCursorGeneric AGENTS
PlatformSupportInstall path
claude-codeNative.claude/skills/<skill-name>/SKILL.md
codexNative.agents/skills/<skill-name>/SKILL.md
windsurfNative.windsurf/skills/<skill-name>/SKILL.md
geminiNative.gemini/skills/<skill-name>/SKILL.md or .agents/skills/<skill-name>/SKILL.md
cursorAdapter.cursor/rules/<skill-name>.mdc
cliManualAGENTS.md or tool-specific context file
Full copyable content
# Trigger
"Apply the FastMCP server review capability pack to this MCP server."

# Required output
1) FastMCP package/source version and Python runtime check
2) Server, tool, resource, prompt, and CLI inventory
3) Review findings with release-blocking and non-blocking issues
4) Validation plan and final release recommendation

About this resource

Knowledge Freshness

This capability pack is pinned to FastMCP 3.4.0 documentation, PyPI metadata, and source files verified on 2026-06-03. The reviewed package metadata requires Python 3.10 or newer.

Retrieval Sources

Prefer the current FastMCP docs, PyPI metadata, and pinned source files over model memory for CLI behavior, package version, server APIs, and deployment notes.

Scope Note

This is not a generic MCP security checklist. Use it when the server under review is implemented with FastMCP and the review needs framework-aware coverage of server construction, tools, resources, prompts, runtime invocation, and release evidence.

Core Workflow

  1. Confirm the FastMCP package version, Python runtime, source tag, package source URL, and docs version used for review.
  2. Locate the FastMCP server object and inventory server name, instructions, mounts or imports, transport choices, and run path.
  3. Inventory tools defined through FastMCP decorators or registration helpers. Check function names, docstrings, type hints, validation expectations, return shape, side effects, timeout behavior, and diagnostics.
  4. Inventory resources and templates. Check URI patterns, parameter handling, data source boundaries, missing-data behavior, caching assumptions, and response shape.
  5. Inventory prompts. Check argument names, default behavior, interpolation, wording stability, and whether prompt templates fit the intended client workflow.
  6. Review CLI and developer-run behavior from the FastMCP command path. Confirm entry command, module path, environment assumptions, log level, and expected transport.
  7. Review deployment readiness. Confirm process manager, target transport, health check or smoke check, dependency pinning, and rollback path.
  8. Build a validation plan using controlled sample inputs for critical tools, resources, prompts, launch, and failure cases.
  9. Produce a release recommendation with blockers, non-blocking improvements, evidence links, and exact checks that must pass before exposing the server.

Capability Scope

  • FastMCP package/source verification
  • Server object and runtime path review
  • Tool inventory and behavior review
  • Resource and resource-template review
  • Prompt-template review
  • CLI invocation and local run checks
  • Deployment readiness and rollback planning
  • Evidence-based release decision for FastMCP servers

Compatibility

Native

  • Claude Code / Claude: use as a reusable Agent Skill for FastMCP server PR and release review.
  • Codex/OpenAI workflows: use as SKILL.md-style instructions for FastMCP code review and release planning.

Manual Adaptation

  • Windsurf and Gemini: adapt the workflow and output contract into their skill formats.
  • Cursor and Generic AGENTS files: convert the review rules and validation checklist into repository-level MCP review rules.

Required Inputs

  • FastMCP package version and Python version
  • Server entrypoint, module path, and entry command
  • Tool, resource, and prompt inventory
  • Intended clients and transport mode
  • Deployment target and rollback approach
  • Sample inputs and expected outputs for critical paths

Production Rules

  • Do not approve a server until the FastMCP version, Python version, entrypoint, and transport mode are explicit.
  • Do not treat generated schemas as sufficient review evidence; check the underlying Python function behavior and side effects.
  • Mark tools as release-blocking when they mutate state, call external systems, or run long jobs without clear limits and tests.
  • Mark resources as release-blocking when their URI templates or data boundaries are ambiguous.
  • Mark prompts as release-blocking when required arguments, defaults, or output expectations are unclear.
  • Keep deployment review separate from local demo success; a server that runs locally can still be unready for shared use.
  • Prefer pinned package versions and reproducible entry commands over latest-version examples.

Output Contract

  1. Source evidence: FastMCP version, PyPI metadata, source tag, docs pages, and package constraints reviewed.
  2. Inventory: server object, entry command, tools, resources, prompts, transport, and deployment target.
  3. Findings: release blockers, non-blocking improvements, unknowns, and evidence links.
  4. Validation plan: exact launch, smoke, positive-path, negative-path, and regression checks.
  5. Release decision: accept, accept with caveats, request changes, or block release.
  6. Follow-up: owner, file path, or source area for each required change.

Troubleshooting

Issue: The server starts locally but clients cannot discover tools

Fix: Check the FastMCP server entrypoint, selected transport, CLI command, tool registration path, and whether the reviewed process is the same process the client launches.

Issue: Tool schemas look correct but runtime behavior is unstable

Fix: Review the Python function body, type hints, default values, error handling, and sample inputs instead of relying only on generated schema output.

Issue: Resources return inconsistent shapes

Fix: Add explicit response contracts for each resource URI or template, then test empty, missing, large, and malformed input cases.

Issue: Prompt templates drift across releases

Fix: Pin prompt argument names and expected output roles in review notes, then add regression examples for the prompts that clients depend on.

Issue: Deployment differs from local development

Fix: Compare the local command, deployed command, package version, Python version, transport, and runtime settings before approving release.

Validation Checklist

  • FastMCP version and Python runtime verified.
  • Source tag, PyPI metadata, docs, and package URL checked.
  • Server entrypoint and entry command confirmed.
  • Tool, resource, and prompt inventory completed.
  • Critical tools tested with positive, negative, and boundary inputs.
  • Resource templates tested for valid, missing, and malformed parameters.
  • Prompt templates checked for argument stability and expected output shape.
  • Transport and deployment path smoke-tested.
  • Rollback or disable path documented for release-blocking failures.

Source citations

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How it compares

FastMCP Server Review Capability Pack Skill side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field

Expert FastMCP review skill for auditing Python MCP server structure, tools, resources, prompts, transports, and deployment readiness before release.

Open dossier

Expert Spectral review skill for auditing OpenAPI contracts, OAS rulesets, lint results, schema drift, CI gates, and API release readiness.

Open dossier

Expert validation skill for reviewing /llms.txt, search discovery artifacts, canonical signals, structured data, and LLM-ready documentation links.

Open dossier

Expert reg-suit review skill for evaluating rendered UI image baselines, thresholds, snapshot storage, report artifacts, and visual QA release readiness.

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustPackage not verifiedPackage not verifiedPackage not verifiedPackage not verified
Source provenanceSubmission linkedSource submissionSubmission linkedSource submissionSubmission linkedSource submissionSubmission linkedSource submission
Submitteroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Install riskReview firstReview firstReview firstReview first
Notes Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety ✓ Privacy ✓
Brand
Categoryskillsskillsskillsskills
SourceSource-backedSource-backedSource-backedSource-backed
Authoroktofeesh1oktofeesh1oktofeesh1oktofeesh1
Added2026-06-032026-06-032026-06-032026-06-03
Platforms
Harness
Source repo
Safety notesInstalling FastMCP adds Python packages to the selected environment; use an isolated project environment and pin the reviewed version. Reviewing a server can exercise tool, resource, and prompt paths; use controlled fixtures and avoid live side effects unless the release plan explicitly permits them. The source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision. Treat destructive tools, write-capable resources, network calls, and long-running jobs as release-blocking until their behavior is documented and tested.Installing Spectral adds npm packages to the selected project environment; pin the reviewed version and avoid global installs for review work. Spectral can lint local files, globs, and remote contract URLs; review source locations before running checks in shared CI. Ruleset changes can silently weaken future API gates; review disabled rules, severity changes, and overrides as release-impacting changes. JavaScript rulesets and custom functions such as `.spectral.js` execute Node.js code; do not run attacker-supplied rulesets from untrusted PRs unless they have been inspected and executed in a sandboxed environment. The source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision.Installing `llms-txt` adds Python dependencies in the selected environment; pin the reviewed version and prefer project-scoped tooling. The `llms_txt2ctx` helper can retrieve linked HTTPS resources while expanding context; review target URLs before running it against private staging content. Search artifacts influence crawler and model-facing discovery signals; treat canonical, robots, sitemap, and structured data changes as publish-impacting. The source archive is external and version-pinned for reference; package trust should remain a maintainer decision.Installing reg-suit adds npm packages to the selected project environment; pin the reviewed package version and avoid global installs for review work. reg-suit can publish image snapshots and HTML reports through storage plugins such as S3 or Google Cloud Storage; review destination configuration before running in shared CI. Visual baselines can normalize accidental UI changes if accepted too casually; require owner approval for broad layout, color, text, or viewport changes. The source ZIP is external and version-pinned for reference; package trust should remain a maintainer decision.
Privacy notesFastMCP tools and resources can expose files, API responses, database records, prompts, and application state. Keep review notes focused on public source links, object names, version data, and summarized findings; omit operational details that do not need to be public.OpenAPI files can reveal internal route names, hostnames, example payloads, business object names, and planned endpoints. Lint reports can include source paths, schema paths, rule names, snippets, and examples from the reviewed contract. Keep public review notes focused on rule IDs, contract paths, compatibility impact, and summarized examples; omit details that do not need to be public.`/llms.txt`, expanded context, sitemap, and structured data artifacts can expose URL paths, page titles, product terms, doc structure, and internal naming. Context expansion can collect linked markdown content into a single artifact, which may reveal more detail than the compact index. Keep public review notes focused on artifact shape, URL classes, stale links, and source evidence; avoid exposing private staging paths or unreleased content.Rendered UI images and reports can expose environment URLs, branch names, visible UI text, test account data, and product screenshots. Storage and notification plugins can publish report links to CI systems, pull request comments, chat tools, or cloud buckets. Keep public review notes focused on changed components, thresholds, artifact links, and summarized findings; omit sensitive rendered content that does not need to be public.
Prerequisites
  • FastMCP server implementation, pull request, or design draft
  • Python environment compatible with FastMCP 3.4.0 and Python 3.10 or newer
  • Tool, resource, prompt, transport, and deployment target inventory
  • Expected client behavior and sample inputs for critical tools
  • OpenAPI v2, v3.0, or v3.1 contract file set
  • Spectral ruleset such as `.spectral.yaml` or an explicit ruleset path
  • Lint output, CI output, or proposed contract diff
  • API owner expectations for breaking changes, naming, examples, and release gates
  • Published or staged documentation site with a known canonical origin
  • `/llms.txt` draft, `llms-full.txt` or expanded context artifact when available
  • `sitemap.xml`, `robots.txt`, canonical URL policy, and structured data inventory
  • Python 3.10 or newer when using the pinned `llms-txt` parser and context helpers
  • UI change, pull request, or release candidate with rendered image artifacts
  • reg-suit configuration such as `regconfig.json`
  • Baseline image source, actual image directory, and generated report location
  • Threshold policy for accepted pixel or rate differences
Install
uv pip install fastmcp==3.4.0
npm install --save-dev @stoplight/spectral-cli@6.15.0
python -m pip install llms-txt==0.0.6
npm install --save-dev reg-suit@0.14.5
Config
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