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fusion-mcpfusion MCP 搜索

Agent Skill

fusion-mcp 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,043

周安装

427

GitHub Stars

公开资料未说明

下载量

3,518
CodexClaudeCursorGemini CLI

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:fusion-mcp(fusion MCP 搜索)
来源仓库:https://github.com/equinor/fusion-skills
仓库路径:skills/fusion-mcp
安装命令:
npx skills add https://github.com/equinor/fusion-skills --skill fusion-mcp
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/equinor/fusion-skills --skill fusion-mcp

简介

用于查找融合 MCP(Model Context Protocol)相关实现资料。

  • 适合在构建模型上下文服务时参考通信协议规范。
  • 可结合具体用例了解数据封装与流式传输方式。
  • 建议使用官方示例先行验证环境配置正确性。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。
  • fusion-mcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Fusion MCP Setup Guide

When to use

Use this skill when a user asks:

  • what Fusion MCP is
  • what it can do
  • how to install/configure it
  • how to verify that it is working
  • how to troubleshoot a failing Fusion MCP setup

Typical triggers:

  • "what is fusion mcp"
  • "help me set up fusion mcp"
  • "how do I use fusion mcp with copilot"

When not to use

Do not use this skill for:

  • implementing product features unrelated to MCP setup
  • making destructive environment changes without user confirmation
  • assuming private repository details that are not visible
  • answering source-backed questions about Fusion Framework APIs, EDS components, or the skill catalog — once MCP is running, use fusion-research for that

Required inputs

Collect before proposing setup steps:

  • user environment (OS, shell, editor/runtime)
  • target client where MCP will run (for example VS Code MCP config or terminal)
  • whether the user wants released image (GHCR) or local build from source
  • transport mode (stdio for editor client config or HTTP endpoint for local checks)
  • whether required access is ready (Docker, GitHub auth for GHCR, API keys)

If details are missing, ask concise follow-up questions first.

Instructions

  1. Explain what this MCP server provides:

- Fusion-oriented MCP capabilities for retrieval and workflow support - tool surface may evolve over time as the server is a PoC - examples today may include retrieval, index guidance, metadata summaries, and skill discovery - retrieval tools: search_framework, search_docs, search_eds, search_skills, search_indexes, search_backend_code - backend code tools: get_backend_symbol, list_backend_projects - skill advisory: skills, skills_index_status

  1. Use the official README quick start as source of truth, then present a minimal 2-step setup path:

- choose image source: GHCR release image or local build - configure VS Code MCP using Docker stdio only (scope for this iteration)

  1. For GHCR image setup, include auth prerequisites before pull/run:

- gh auth login -h github.com -w - gh auth refresh -h github.com -s read:packages - gh auth token | docker login ghcr.io -u <github-username> --password-stdin

  1. For local build setup, use the documented sequence so the API is built, started, and validated:

- cp.env.example.env - docker compose up -d --build api - then follow the health-check step in references/local-http-quickstart.md to confirm the API is healthy

  1. Provide required configuration categories without exposing secret values:

- Azure Search keys (AzureSearch__*) - Foundry keys/settings (Foundry__*) - optional runtime vars (ASPNETCORE_ENVIRONMENT, HOST_PORT)

  1. Provide a lightweight MCP smell test:

- run initialize and confirm a successful response - run tools/list and confirm at least one tool is returned - run one non-destructive tools/call against an available tool - pass criteria: call response is non-empty (content or structuredContent contains data) - note: do not hard-code a fixed tool list; tool inventory can change between versions

  1. Troubleshoot in documented order:

- GHCR unauthorized/403 -> refresh GH auth and Docker login - Apple Silicon manifest mismatch -> add Docker arg --platform linux/amd64 - tools/list returns empty or basic query fails -> re-check API key env mapping and MCP server selection in VS Code - startup looks healthy but tool behavior is partial -> re-check env/config/auth alignment and restart MCP server

  1. When MCP setup fails, MCP behavior is incorrect, or the user asks to file a bug, produce a bug report draft from assets/bug-report-template.md.

- default target repository: equinor/fusion-poc-mcp - include concrete repro steps, expected vs actual behavior, and troubleshooting already attempted - include non-sensitive environment details (OS, VS Code version, Docker version, image tag, transport mode) - never include secrets, API keys, or raw token values

  1. For uncertainty or repo-private constraints, state assumptions explicitly and link to authoritative docs instead of guessing.

Expected output

Return:

  • short explanation of Fusion MCP and when to use it
  • setup path tailored to the user environment (GHCR/local, stdio/HTTP)
  • minimal validation checklist with concrete pass criteria
  • troubleshooting steps mapped to observed error symptoms
  • bug report draft (when setup fails/misbehaves or user requests) using assets/bug-report-template.md with default target equinor/fusion-poc-mcp
  • script snippets when user asks for copy/paste automation aids
  • assumptions and missing information called out explicitly
  • links to the exact upstream docs used

References

Safety & constraints

Never:

  • request or expose secrets, tokens, or credentials
  • invent setup commands that are not supported by project documentation
  • claim setup succeeded without validation output
  • run destructive commands without explicit user confirmation

Always:

  • prefer official repository documentation as source of truth
  • provide least-privilege, minimal-change setup guidance first
  • separate confirmed facts from assumptions
  • keep guidance scoped to VS Code + Docker for this iteration

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

35.07%
按下载量换算1,234

Claude

33.6%
按下载量换算1,182

Cursor

17.36%
按下载量换算611

Gemini CLI

8.88%
按下载量换算312

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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