
Finops Framework Mcp
io.github.aaronmsoto由 GitHub 账号 aaronmsoto 发布v0.2.0更新于 Oct 26, 2026
Unofficial MCP server for the FinOps Framework: phases, domains, capabilities, maturity, KPIs.
概览
非官方的只读 MCP 服务器,让助手获取已发布的 FinOps 框架内容:阶段、领域、能力、成熟度与 KPI。
- 可以做什么
- 查询框架基础信息:原则、阶段、领域、角色、技术类别与 KPI 库
- 搜索框架内容,列出或读取单个能力,并可控制返回内容的大小
- 评估成熟度:获取 Crawl/Walk/Run 特征并为某项能力规划成熟度路径
- 将角色映射到能力,并查看数据变更日志
- 提供框架资源与现成提示词,用于讲解框架、评估成熟度和规划路线图
- 适用场景
- 适合让助手依据基金会原文与公式回答 FinOps 问题,而不是自行编造,例如成熟度评估、能力对应的 KPI 或角色职责。它是参考资料服务器,不用于读取你自己的账单或云数据。
- 运行要求
- 通过 npx 从 npm 包 finops-framework-mcp 以 stdio 在本地运行,唯一要求是 Node 22 或更高版本。无需账号、API 密钥,运行时也不需要网络,因为数据随包提供。可选的环境变量 FINOPS_MCP_DATA 或首个命令行参数可指向本地刷新的数据目录。
安装
在 SourceWeft 中
- 打开 控制台中的 Finops Framework Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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:
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.
(-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:
Claude Desktop (claude_desktop_config.json), or a project-scoped
.mcp.json, or any stdio MCP client:
Environment variables (all optional):
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:
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
BilledCostmean 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— plusfinops://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. Seepackages/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. Seepackages/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:
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:
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
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:
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 Foundationdata/focus/**: © FinOps Foundation / FOCUS project contributorsdata/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).
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.jsonloads all three servers into MCP clients that read it, running the published packages vianpxso a fresh clone works with no build. To exercise your working tree instead,cp .mcp.json.example .mcp.jsonand build first (dist/is gitignored), then restart the client; clients read MCP config only at startup. See CONTRIBUTING.md. - Releasing:
docs/release-runbook.md.
来源:README.md,提交 231a67a
工具
0版本历史
1- v0.2.0最新Oct 20, 2026
评分
已满足适用检查项的 50%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
- 已声明认证方式10 分
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
- 已列出工具15 分
请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分