MCPInstall

fusion-pm-mcp

Explain what Fusion PM MCP is and guide setup of the hosted HTTP+OAuth server for its GitHub project-management retrieval tools. USE FOR: setting up or troubleshooting Fusion PM MCP, understanding its issue/PR/milestone tools, filing a setup bug. DO NOT USE FOR: implementing changes to the fusion-pm-mcp service itself, GitHub issue authoring/triage workflows, or general Fusion Framework/docs/EDS retrieval — use fusion-mcp for that.

Installs
427
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/equinor/fusion-skills --skill fusion-pm-mcp
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads fusion-pm-mcp automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Fusion PM MCP Setup Guide

When to use

Use when a user asks:

  • what Fusion PM MCP is
  • how to install/configure it
  • how to verify it is working
  • how to troubleshoot a failing setup or stale/rate-limited results

Typical triggers:

  • "what is fusion pm mcp"
  • "help me set up fusion pm mcp"
  • "how do I get GitHub issues/PRs into Copilot without hitting rate limits"

When not to use

  • Implementing or modifying the fusion-pm-mcp service source code — that belongs to the repository itself
  • General Fusion Framework/docs/EDS/backend-code retrieval — use fusion-mcp
  • Authoring, triaging, or reviewing GitHub issues/PRs — use fusion-issue-authoring or repo-specific review skills once the MCP tools are available
  • Making destructive environment changes without user confirmation

Required inputs

Collect before proposing setup steps:

  • whether a GitHub token is available (gh auth token, or a PAT with repo scope) — supplied per-request, not stored in config
  • target client (VS Code is primary)

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

Instructions

  1. Explain what this MCP server provides:
    • a caching proxy over the GitHub REST API, exposed as MCP tools, so agents can read project data without hitting GitHub rate limits on every call
    • hosted as a managed service — no local infrastructure required for most users
    • tools (verify against tools/list, the server's actual source is the source of truth over any stale doc): api_get_issue, api_get_parent_issue, api_get_child_issues, api_get_issue_comments, api_list_milestones, api_get_milestone, api_upsert_issue, api_close, api_get_metadata_schema, api_get_pull_request, api_get_pr_comments, api_get_pr_reviews, api_get_pr_review, api_get_review_comments, api_resolve_review_comment
    • responses are cached (default TTL 300s); there is no cache-invalidation tool — stale results clear on their own after the TTL
  2. Guide user to set up the hosted production server — the only recommended path:
    • no Docker, no local clone, no env vars to manage
    • VS Code authenticates the MCP connection via Microsoft Entra (Equinor account)
    • the caller also supplies their own GitHub token per request via the X-GitHub-Token header (each user keeps their own identity and rate limit — don't suggest a shared/service token)
    • use the manual config in references/vscode-mcp-config.md (no one-click install link is published for this server)
    • don't suggest local stdio or the full Docker dev stack — those exist only for contributors working on the fusion-pm-mcp service itself; point them to that repo's CONTRIBUTING.md instead of embedding setup steps here
  3. Describe the authentication flow:
    • on first tool invocation VS Code prompts sign-in with the Equinor Entra account (controls access to the MCP server itself)
    • separately, the X-GitHub-Token header carries the caller's own GitHub PAT through to the API on every request
    • both must be valid; a 401 can come from either layer
  4. Give a validation checklist:
    • run initialize and confirm a successful response
    • run tools/list and compare against the actual returned tool names — don't assume a fixed list, the surface has changed before
    • run one non-destructive tools/call (e.g. api_list_milestones or api_get_issue) and confirm a non-empty result
  5. Troubleshoot in documented order:
    • Unauthenticated / hitting rate limits fast → no X-GitHub-Token header configured; unauthenticated calls are capped at 60 req/hr
    • 401 or repeated sign-in prompts → re-authenticate via VS Code (sign out/in, or reload the MCP server); if that doesn't resolve it, treat it as a setup bug rather than a known transient issue
    • Results look stale → there is no invalidate-cache tool; results self-clear after the cache TTL (a few minutes)
  6. When setup fails or the user asks to file a bug, produce a bug report draft from assets/bug-report-template.md.
    • default target repository: equinor/fusion-pm-mcp
    • include concrete repro steps, expected vs actual behavior, and troubleshooting already attempted
    • include non-sensitive environment details only (OS, VS Code version)
    • never include GitHub tokens, PATs, or Entra credentials
  7. For uncertainty or repo-private constraints, state assumptions explicitly and link to authoritative docs instead of guessing.

Expected output

Return:

  • short explanation of Fusion PM MCP and when to use it
  • hosted setup steps tailored to the user's environment
  • validation checklist: initialize, tools/list (compare against actual returned names), one tools/call (expect non-empty result)
  • troubleshooting steps mapped to observed symptoms
  • bug report draft (when setup fails/misbehaves or user requests) using assets/bug-report-template.md with default target equinor/fusion-pm-mcp
  • assumptions and missing information called out explicitly

References

  • references/vscode-mcp-config.md
  • assets/bug-report-template.md

Safety & constraints

Never:

  • request or expose GitHub tokens, PATs, or Entra credentials
  • invent setup commands that are not supported by project documentation
  • claim setup succeeded without validation output
  • suggest a single shared GitHub token for hosted multi-user setups
  • run destructive commands without explicit user confirmation

Always:

  • prefer official repository documentation as source of truth
  • guide users to the hosted production server; do not suggest local stdio or Docker setups unless the user is contributing to the service itself, then link to that repo's CONTRIBUTING.md instead of embedding setup steps
  • recommend per-request X-GitHub-Token auth over shared tokens
  • separate confirmed facts from assumptions

FAQ

What does the fusion-pm-mcp skill do?

Explain what Fusion PM MCP is and guide setup of the hosted HTTP+OAuth server for its GitHub project-management retrieval tools. USE FOR: setting up or troubleshooting Fusion PM MCP, understanding its issue/PR/milestone tools, filing a setup bug. DO NOT USE FOR: implementing changes to the fusion-pm-mcp service itself, GitHub issue authoring/triage workflows, or general Fusion Framework/docs/EDS retrieval — use fusion-mcp for that.

How do I install fusion-pm-mcp?

Run npx skills add https://github.com/equinor/fusion-skills --skill fusion-pm-mcp in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/fusion-pm-mcp/ (personal) or .claude/skills/fusion-pm-mcp/ (project).

Which AI agents can use fusion-pm-mcp?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is fusion-pm-mcp safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains fusion-pm-mcp?

It is published by equinor in equinor/fusion-skills. It has 427 recorded installs.

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