Finops Framework Mcp

io.github.aaronmsoto由 GitHub 帳號 aaronmsoto 發布v0.2.0更新於 Oct 26, 2026

Unofficial MCP server for the FinOps Framework: phases, domains, capabilities, maturity, KPIs.

已驗證STDIO僅桌面金融知識與記憶

概覽

AI 產生的概覽

非官方的唯讀 MCP 伺服器,讓助理取得已發布的 FinOps 框架內容:階段、領域、能力、成熟度與 KPI。

可以做什麼
  • 查詢框架基本資訊:原則、階段、領域、角色、技術類別與 KPI 資料庫
  • 搜尋框架內容,列出或讀取單一能力,並可控制回傳內容的大小
  • 評估成熟度:取得 Crawl/Walk/Run 特徵,並為某項能力規劃成熟度路徑
  • 將角色對應到能力,並查看資料變更紀錄
  • 提供框架資源與現成提示詞,用於說明框架、評估成熟度與規劃路線圖
適用情境
適合讓助理依據基金會原文與公式回答 FinOps 問題,而不是自行編造,例如成熟度評估、能力對應的 KPI 或角色職責。它是參考資料伺服器,不用來讀取你自己的帳單或雲端資料。
執行需求
透過 npx 從 npm 套件 finops-framework-mcp 以 stdio 在本機執行,唯一要求是 Node 22 或更新版本。不需帳號、API 金鑰,執行時也不需要網路,因為資料隨套件提供。選用的環境變數 FINOPS_MCP_DATA 或第一個命令列參數可指向本機更新的資料目錄。
安裝前請注意
安裝後為唯讀且離線執行,沒有遙測,無法變更你的實務或資料。它是非官方專案:伺服器自行推導的內容都會標示;除非設定 FINOPS_MCP_EXPERIMENTAL=1 開啟明確標示的非官方附加內容,框架伺服器預設只提供官方內容。回答取決於隨套件的資料版本,如需固定快照請鎖定套件版本。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Finops Framework Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

finops-framework-mcp

[finops-framework-mcp on npm] [finops-focus-mcp on npm] [tokenomics-overview-mcp on npm] [license MIT]

Three unofficial MCP servers that give AI assistants a structured, sourced interface to published FinOps and AI-cost guidance, so an assistant answers with the publishers' actual text and formulas instead of improvising:

ServerCoversSource
finops-framework-mcpThe FinOps Framework: capabilities, Crawl/Walk/Run maturity, KPIs, personasfinops.org/framework
finops-focus-mcpThe FOCUS billing-data specification, pinned per version (1.0, 1.2)focus.finops.org
tokenomics-overview-mcpAI tokenomics: the Seven-Layer Stack, Big-T notation, prompt-cache metrics, consumption levers incl. model routing, FOCUS 1.5 AI costtokeneconomics.com

All three are read-only (an agent can read guidance, never change your practice or data) and offline once installed (no network access at runtime, no telemetry). Use any one on its own; together they cover what good looks like, which billing columns prove it, and what drives AI token cost.

Start here: the usage guide

aaronmsoto.github.io/finops-framework-mcp is a free, no-install walkthrough written for FinOps practitioners as much as engineers. It explains what each server does, connects them to Claude in a couple of minutes, and works through five examples, from a showback report to whether prompt caching is paying off. Every number and quote in it comes from a real run of these servers. See Documentation for the page list.

Why this exists

Ask an AI assistant "how mature is our Allocation practice?", "which FOCUS columns feed Effective Savings Rate?" or "is our prompt caching paying off?" without these servers, and it will happily improvise a plausible answer. With them, every response is the publisher's own text and formulas, structured for an assistant to read, with the source URL and license attached.

Anything a server had to work out itself is labeled, never passed off as published guidance:

  • The FOCUS server's KPI-to-column mapping, computed KPI values and cross-version diff are marked UNOFFICIAL (official: false).
  • The tokenomics server states each source's publication status on every answer, because most Tokenomics Foundation guidance is a working draft or release candidate. Its curated crosswalk is unofficial and only appears with FINOPS_MCP_EXPERIMENTAL=1.
  • The framework server is official-only out of the box: no invented relationships between capabilities, no maturity levels beyond the Foundation's Crawl/Walk/Run.

Quickstart

All three are on npm, so there is nothing to clone or build. Each package ships its own data and runs offline. Node >= 22 is the only requirement.

bash
npx -y finops-framework-mcpnpx -y finops-focus-mcpnpx -y tokenomics-overview-mcp

(-y skips npx's first-run install prompt, which can hang non-interactive MCP clients. Pin a version with, for example, npx -y [email protected].)

Claude Code:

bash
claude mcp add finops-framework -- npx -y finops-framework-mcpclaude mcp add focus-spec -- npx -y finops-focus-mcpclaude mcp add tokenomics-overview -- npx -y tokenomics-overview-mcp

Claude Desktop (claude_desktop_config.json), or a project-scoped .mcp.json, or any stdio MCP client:

json
{  "mcpServers": {    "finops-framework": {      "command": "npx",      "args": ["-y", "finops-framework-mcp"]    },    "focus-spec": {      "command": "npx",      "args": ["-y", "finops-focus-mcp"]    },    "tokenomics-overview": {      "command": "npx",      "args": ["-y", "tokenomics-overview-mcp"]    }  }}

Environment variables (all optional):

VariableServerEffect
FINOPS_MCP_DATAframeworkUse a locally refreshed artifact instead of the packaged data/framework
FOCUS_MCP_DATAFOCUSSame, for data/focus
TOKENOMICS_MCP_DATAtokenomicsSame, for data/tokenomics
FINOPS_MCP_EXPERIMENTAL=1framework, tokenomicsTurn on clearly labeled unofficial extras: the framework's parsed maturity get_actions, the tokenomics crosswalk

Each server also accepts the data directory as its first CLI argument, and answers --version with its package version plus its data version (FOCUS: the spec versions it serves).

How to use them

Start a session with each server's entry point, then follow its suggestions:

ServerStart withThen
frameworkget_framework_info {}search_framework, list_capabilities, get_capability (with include to control size), get_kpis, assess_maturity_path
FOCUSlist_versions {}search_focus, get_column, get_requirements, compare_versions, get_kpi_mapping, calculate_kpi
tokenomicsget_tokenomics_info {}list_layers, get_bigt_notation, list_levers, get_metric, calculate_cache_metrics, get_crosslinks

Questions each one answers well:

  • Framework: "What does Walk-level Forecasting require?", "Which KPIs does the Foundation feature for Rate Optimization?", "Who does what in Anomaly Management?"
  • FOCUS: "What does BilledCost mean in 1.2, and what changed since 1.0?", "Which columns do I need to compute Effective Savings Rate?"
  • Tokenomics: "Which layer owns model routing and AI gateways?", "How does this agent's token use scale with autonomy?", "Our cache read, write and uncached input tokens were X, Y, Z: is caching saving money?"

Using them together. The servers ship separately and never call each other. Instead, answers hand off by URI: each of the tokenomics server's 35 get_crosslinks links is backed by a verbatim quote from the Tokenomics Foundation page, and carries a finops://framework/… or focus://spec/… URI for the agent to read with the other two servers. FOCUS 1.5 working-draft names, which no ratified release contains yet, come back with no URI. The prompt-caching example walks one question through all three.

Server surfaces

  • finops-framework-mcp: 11 tools — get_framework_info (entry point), search_framework, list_capabilities, get_capability, get_maturity_assessment, get_kpis, assess_maturity_path, map_personas, get_entity, get_maturity_model, get_changelog — plus finops://framework/… resources and 4 prompts (explain-framework, assess-capability-maturity, plan-maturity-roadmap, map-personas-to-capabilities). Data: 6 Principles, 3 Phases, 4 Domains, 22 Capabilities, 11 Personas, 5 Technology Categories, the Scopes concept, and an 88-entry KPI library.
  • finops-focus-mcp: 9 tools for column and attribute lookup, normative requirements, search, the 1.0 → 1.2 diff, and unofficial KPI-to-column mappings with sample-data KPI calculation, plus focus://spec/… resources and 3 prompts. See packages/finops-focus-mcp.
  • tokenomics-overview-mcp: 20 tools across documents, the Seven-Layer Stack, Big-T notation, levers, metrics (with a cache-metrics calculator), personas, value classification, the FOCUS 1.5 AI-cost capabilities and cross-links, plus tokenomics://overview/… resources and 3 prompts (optimize_consumption, assess_prompt_caching, bigt_review). Data: 14 source documents, 7 layers, 6 Big-T classes, 32 levers, 7 metrics, 12 personas, 35 stated cross-links. See packages/tokenomics-overview-mcp.

The full prompts, resources and tools of all three servers (names, arguments, URIs, defaults and limits) are generated from live MCP output in docs/mcp-surface.md.

Remote option: the Cloudflare Worker

All three servers can also run over Streamable HTTP from one bundled Cloudflare Worker (src/workers/, endpoints /mcp/framework, /mcp/focus and /mcp/tokenomics; see docs/deploy-worker.md). Any MCP client that speaks Streamable HTTP can connect to a deployed Worker, for example:

bash
claude mcp add --transport http tokenomics-overview "$WORKER_URL/mcp/tokenomics"

The Worker is stateless and serves each server's default surface (no experimental tools). demo/ is a static browser page with two walkthroughs through it: "Is prompt caching paying off?" (all three servers, on your own token counts) and Rate Optimization (framework and FOCUS).

How it's built

Every server is the same three decoupled parts, so a content refresh never needs a code change:

crawler ──▶ data artifact ──▶ MCP server (stdio)src/crawlers/<name>   data/<name>/   src/servers/<name>

for <name> in framework, focus and tokenomics. The framework and tokenomics crawlers go fetch → parse → compose → derive → validate → emit: content/markdown/ is the canonical intermediate, composed from parsed HTML, and every JSON file is regenerated from it by an offline derive step, so a schema or JSON-only fix never needs a re-crawl. Their artifacts carry JSON Schemas and a sha256 manifest, and each server validates its artifact at startup and refuses to start on a bad one. The FOCUS crawler instead ingests each pinned spec release by git tag into data/focus/<version>/, with the derived diff and KPI mapping under data/focus/derived/.

The framework server's early capability relationship graph (get_prerequisites/get_related) was built, evaluated and deleted because its edges didn't clear the accuracy bar; see .agents/specs/v1-official-only.md.

Refreshing the data

bash
npm run buildnpm run refresh                                   # framework: crawl → artifact + diff reportnode dist/crawlers/focus/cli.js                   # FOCUS: ingest the pinned spec tags (1.0, 1.2)node dist/crawlers/tokenomics/cli.js refresh      # tokenomics: Tokenomics Foundation pagesnode dist/crawlers/framework/cli.js derive        # framework: offline markdown → JSON, byte-identicalnode dist/crawlers/tokenomics/cli.js derive       # tokenomics: same, for data/tokenomics

Crawls are polite, cached and robots-honoring. No upstream changes produce a byte-identical artifact and no version bump; content changes produce a changelog entry and a semver bump of the data version. The tokenomics refresh also lists pages it found but doesn't ingest (for example working-group drafts) under unregistered in its manifest. A scheduled refresh workflow is provided at docs/proposed/refresh-data.yml; .github/workflows/ is a protected path here, so the owner installs it:

bash
git mv docs/proposed/refresh-data.yml .github/workflows/refresh-data.yml

Data versioning policy

Consumers pin a data version by pinning a package version or a git ref of this repo. Each manifest.json carries data_version, schema_version, crawled_at, per-file sha256 and entity counts; derived/changelog.json records what changed between versions (served by the framework server as get_changelog). Schema-breaking changes bump schema_version and require a server release. Releases are cut from a v* tag; see docs/release-runbook.md.

License and attribution

Code: MIT (see LICENSE). Content, each CC BY 4.0, restructured and adapted — see NOTICE.md for the required attribution and modification notices:

  • data/framework/**: © FinOps Foundation
  • data/focus/**: © FinOps Foundation / FOCUS project contributors
  • data/tokenomics/**: © Tokenomics Foundation (a Series of LF Projects, LLC)

FinOps™, FinOps Foundation™ and FOCUS™ are trademarks of the FinOps Foundation. This project is independent and not affiliated with or endorsed by the FinOps Foundation, the FOCUS project, or the Tokenomics Foundation.

Documentation

docs/guide/ is the usage guide: nine self-contained pages in which every number, quote and transcript was captured from a live probe of these servers or computed from the committed sample data. It is also the published site: .github/workflows/pages.yml deploys docs/guide/, and only that directory, to https://aaronmsoto.github.io/finops-framework-mcp/ on every push to main that touches it (setup and smoke test in docs/deploy-pages.md).

PageWhat it covers
Intro & Getting StartedAll three servers side by side; install, Claude Code / Claude Desktop / .mcp.json config, the Worker remote option, the first call against each server
Framework MCP referenceData model, all 11 tools grouped by job, prompts and resources, pagination, an Anomaly Management demo
FOCUS MCP referenceVersion model, all 9 tools, focus:// resources, a BilledCost deep-dive and the 1.0→1.2 diff
Tokenomics MCP referenceSources and their status, the Seven-Layer Stack and Big-T, all 20 tools, prompts, tokenomics:// resources, cross-links, a model-routing and AI-gateway demo
Showback ReportingAllocation + Reporting & Analytics → the FOCUS columns a showback needs → a report computed from the official sample
Rate Optimization (ESR)Capability → featured KPIs → FOCUS columns at 1.0 vs 1.2 → Effective Savings Rate on the official sample
Forecasting JourneyA maturity journey to Walk-level Forecasting: official Crawl/Walk characteristics, KPIs, and the data that feeds a forecast
Quick Q&AFour unscripted live prompts in one session across the framework and FOCUS servers
Is Prompt Caching Paying Off?All three servers: the framework's Cache Hit Rate KPI → the Tokenomics formula and calculator on two workloads → where cached-token data lives in FOCUS 1.2 and 1.5

Every page opens over file:// too; the guide has no external assets. Guide pages are rich HTML by design, an intentional exception to this repo's markdown-for-docs convention recorded in .agents/memory/decisions.md.

Development

  • Agent instructions: AGENTS.md · design: docs/architecture.md (adversarial reviews: docs/critique-1.md, docs/critique-2.md, docs/critique-3-publish-gate.md, docs/critique-4-focus-gate.md, docs/final-status-review.md) · tokenomics design: docs/designs/tokenomics-overview-mcp.html
  • Gates: ./scripts/agentic gates · tests: npm test (fixture-based, no network) · evals: evals/framework/ (docs/eval-results.md)
  • Working in a clone: the checked-in .mcp.json loads all three servers into MCP clients that read it, running the published packages via npx so a fresh clone works with no build. To exercise your working tree instead, cp .mcp.json.example .mcp.json and build first (dist/ is gitignored), then restart the client; clients read MCP config only at startup. See CONTRIBUTING.md.
  • Releasing: docs/release-runbook.md.

來源:README.md,提交 231a67a

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.2.0最新Oct 20, 2026

評分

已滿足適用檢查項的 50%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通25 分

    請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。

  • 已宣告認證方式10 分

    請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。

  • 已列出工具15 分

    請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。

  • 描述必需15 分
  • 圖示10 分
  • 文件15 分
  • 授權條款10 分