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bootstrap-python-mcp-servicebootstrap Python MCP service 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

412

周安装

17

GitHub Stars

2

下载量

135
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bootstrap-python-mcp-service(bootstrap Python MCP service 测试)
来源仓库:https://github.com/gaelic-ghost/python-skills
仓库路径:skills/bootstrap-python-mcp-service
安装命令:
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-mcp-service
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-mcp-service

简介

bootstrap-python-mcp-service 用于辅助 Python 项目开发、测试和依赖管理。

  • 适合阅读 Python 代码、定位测试问题、整理运行命令或分析数据处理逻辑。
  • 使用时需确认虚拟环境、依赖版本和测试入口。
  • 涉及脚本执行或文件读写时,应先明确运行目录和输入输出范围。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Bootstrap Python MCP Service

Purpose

Create FastMCP starter layouts using one direct shell entrypoint backed by the shared bootstrap-uv-python-workspace scaffolding scripts plus deterministic MCP overlay logic.

When To Use

  • Use this skill for new FastMCP server scaffolds.
  • Use this skill when the user wants OpenAPI or FastAPI-to-MCP mapping guidance alongside bootstrap.
  • Recommend bootstrap-python-service when the user wants a FastAPI service but not an MCP server.

Single-Path Workflow

  1. Collect the required inputs:

- name - mode - path - optional python, members, profile_map, force, initial_commit, no_git_init

  1. Run the canonical entrypoint: scripts/init_fastmcp_service.sh --name <name> --mode <project|workspace>
  2. Let the script delegate to the shared bootstrap-uv-python-workspace scaffolding layer, then apply the FastMCP overlay.
  3. Accept the built-in validation path:

- uv run pytest - uv run ruff check. - uv run mypy.

  1. Confirm the generated project includes:

- a committed .env for safe defaults - an ignored .env.local for machine-local or secret overrides - typed configuration via pydantic-settings

  1. If the task starts from an existing API, optionally generate a mapping report with uv run scripts/assess_api_for_mcp.py....
  2. Return the generated path plus the exact next-step commands emitted by the script.

Commands

# Project mode (default)
scripts/init_fastmcp_service.sh --name my-mcp-server

# Project mode with explicit options
scripts/init_fastmcp_service.sh --name my-mcp-server --mode project --python 3.13 --path /tmp/my-mcp-server

# Workspace mode with defaults (core-lib package + api-service service)
scripts/init_fastmcp_service.sh --name platform --mode workspace

# Workspace mode with explicit members and profile mapping
scripts/init_fastmcp_service.sh \
  --name platform \
  --mode workspace \
  --members "core-lib,tools-service,ops-service" \
  --profile-map "core-lib=package,tools-service=service,ops-service=service"

# Allow non-empty target directory
scripts/init_fastmcp_service.sh --name my-mcp-server --force

# Skip git initialization
scripts/init_fastmcp_service.sh --name my-mcp-server --no-git-init

# Create initial commit
scripts/init_fastmcp_service.sh --name my-mcp-server --initial-commit

# Generate MCP mapping guidance from OpenAPI
uv run scripts/assess_api_for_mcp.py --openapi ./openapi.yaml --out ./mcp_mapping_report.md

# Generate MCP mapping guidance from existing FastAPI app
uv run scripts/assess_api_for_mcp.py --fastapi app.main:app --out ./mcp_mapping_report.md

Inputs

  • name: required
  • mode: project or workspace; defaults to project
  • path: optional target directory; defaults to ./<name>
  • python: optional Python version; defaults to 3.13
  • members: optional workspace member CSV for workspace mode
  • profile_map: optional workspace profile CSV for workspace mode
  • force: optional flag allowing non-empty target directories
  • initial_commit: optional flag creating an initial commit after a successful scaffold
  • no_git_init: optional flag disabling git initialization

Outputs

  • status

- success: scaffold and built-in validation completed - blocked: prerequisites or target-directory constraints prevented the run - failed: the script started but validation or generation failed

  • path_type

- primary: the canonical shell entrypoint completed

  • output

- resolved project or workspace path - emitted run commands - emitted validation commands - optional mapping-report path

Defaults

  • mode: project
  • Python version: 3.13
  • quality tooling: pytest, ruff, mypy
  • config baseline: committed .env, ignored .env.local, and pydantic-settings
  • workspace default members: core-lib,api-service
  • workspace default profiles: first member package, remaining members service

Base UV/FastAPI Guidance

The shared scaffold basis follows uv FastAPI integration style:

uv add fastapi --extra standard
uv add pydantic-settings python-dotenv
uv run fastapi dev app/main.py

This skill then overlays FastMCP dependencies and server files for MCP service members. Generated FastMCP scaffolds should keep safe defaults in .env, local or secret overrides in .env.local, and typed runtime configuration in app/config.py.

API Import Guidance

When starting from OpenAPI or FastAPI, bootstrap first, then map endpoints to MCP primitives:

  1. Generate mapping report with scripts/assess_api_for_mcp.py.
  2. Classify endpoints into Resources, Tools, and Prompts.
  3. Recommend RouteMaps/Transforms only when they improve usability.
  4. Keep bootstrap deterministic; defer heavy custom mapping unless requested.

FastMCP Docs Lookup

Use the fastmcp_docs MCP server for up-to-date framework details.

Suggested queries:

  • FastMCP quickstart server example
  • FastMCP tools resources prompts best practices
  • FastMCP RouteMap Transform
  • FastMCP from OpenAPI
  • FastMCP from FastAPI

Guardrails

  • Refuse non-empty target directories unless --force is set.
  • Require at least one service profile member in workspace mode.
  • Require uv and git unless git initialization was explicitly disabled.
  • Fail when workspace-only options are used in project mode.
  • Fail when --initial-commit is combined with --no-git-init.

Fallbacks and Handoffs

  • The preferred path is always scripts/init_fastmcp_service.sh.
  • Use bootstrap-python-service when the user wants FastAPI-only output.
  • Use bootstrap-uv-python-workspace directly only when FastMCP-specific behavior is not wanted.
  • Recommend integrate-fastapi-fastmcp when the user needs to fold this FastMCP output into an existing FastAPI app, mount an MCP server into FastAPI, or promote generated FastAPI-derived MCP output into a curated combined architecture.

Automation Suitability

  • Codex App automation: Medium. Useful for recurring FastMCP scaffold checks and mapping-assessment checks.
  • Codex CLI automation: High. Strong fit for CI-style scaffold validation.

Codex App Automation Prompt Template

Use $bootstrap-python-mcp-service.

Scope boundaries:
- Work only inside <REPO_PATH>.
- Create or validate scaffold output only in <TARGET_PATH>.
- Restrict work to scaffold generation, optional mapping report generation, and verification.

Task:
1. If <MODE:PROJECT|WORKSPACE> is PROJECT, run:
   `scripts/init_fastmcp_service.sh --name <MCP_SERVICE_NAME> --mode project --path <TARGET_PATH> --python <PYTHON_VERSION> <FORCE_FLAG> <GIT_INIT_MODE>`
2. If <MODE:PROJECT|WORKSPACE> is WORKSPACE, run:
   `scripts/init_fastmcp_service.sh --name <MCP_SERVICE_NAME> --mode workspace --path <TARGET_PATH> --python <PYTHON_VERSION> --members "<MEMBERS_CSV>" --profile-map "<PROFILE_MAP>" <FORCE_FLAG> <GIT_INIT_MODE>`
3. If <GENERATE_MAPPING_REPORT:TRUE|FALSE> is TRUE:
   - If <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT> is OPENAPI, run:
     `uv run scripts/assess_api_for_mcp.py --openapi <MAPPING_INPUT_PATH> --out <TARGET_PATH>/mcp_mapping_report.md`
   - If <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT> is FASTAPI_IMPORT, run:
     `uv run scripts/assess_api_for_mcp.py --fastapi <MAPPING_INPUT_PATH> --out <TARGET_PATH>/mcp_mapping_report.md`
4. Run verification checks in <TARGET_PATH>:
   - `uv run pytest`
   - `uv run ruff check .`
   - `uv run mypy .`

Output contract:
1. STATUS: PASS or FAIL
2. COMMANDS: exact commands executed
3. RESULTS: concise outcomes for scaffold and checks
4. If report generated: include report path
5. If FAIL: provide likely root cause and minimal remediation

Codex CLI Automation Prompt Template

codex exec --full-auto --sandbox workspace-write --cd "<REPO_PATH>" "<PROMPT_BODY>"

<PROMPT_BODY> template:

Use $bootstrap-python-mcp-service.
Scope is limited to scaffold generation in <TARGET_PATH>, optional mapping report generation, and verification checks.
Run only commands needed for this flow, then return STATUS, exact command transcript, concise results, and minimal remediation if failures occur.

Customization Placeholders

  • <REPO_PATH>
  • <MCP_SERVICE_NAME>
  • <MODE:PROJECT|WORKSPACE>
  • <TARGET_PATH>
  • <PYTHON_VERSION>
  • <MEMBERS_CSV>
  • <PROFILE_MAP>
  • <FORCE_FLAG>
  • <GIT_INIT_MODE>
  • <MAPPING_INPUT_MODE:NONE|OPENAPI|FASTAPI_IMPORT>
  • <MAPPING_INPUT_PATH>
  • <GENERATE_MAPPING_REPORT:TRUE|FALSE>

Interactive Customization Workflow

  1. Ask for mode, name, path, Python version, and git/force flags.
  2. If workspace mode, also ask for members and profile map.
  3. Return both:
  • A YAML profile for durable reuse.
  • The exact scaffold command to run.
  1. Use this precedence order:
  • CLI flags
  • --config profile file
  • .codex/profiles/bootstrap-python-mcp-service/customization.yaml
  • ~/.config/gaelic-ghost/python-skills/bootstrap-python-mcp-service/customization.yaml
  • Script defaults
  1. If users want temporary reset behavior:
  • --bypassing-all-profiles
  • --bypassing-repo-profile
  • --deleting-repo-profile
  1. If users provide no customization or profile files, keep existing script defaults unchanged.
  2. See references/interactive-customization.md for schema and examples.

References

  • references/mcp-mapping-guidelines.md
  • references/fastmcp-docs-lookup.md
  • references/customization.md
  • references/interactive-customization.md

Script Inventory

  • scripts/init_fastmcp_service.sh
  • scripts/assess_api_for_mcp.py
  • Delegates to the shared workspace bootstrap scripts shipped by bootstrap-uv-python-workspace.

Assets

  • assets/README.md.tmpl

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.25%
按下载量换算48

Claude

28.51%
按下载量换算38

Cursor

18.6%
按下载量换算25

Gemini CLI

9.34%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/gaelic-ghost/python-skills --skill bootstrap-python-mcp-service 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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