
tieline
io.github.nugehs由 GitHub 账号 nugehs 发布v0.1.4更新于 Oct 24, 2026
Static FE-BE contract-drift checker: finds frontend calls the backend does not expose. CLI + MCP.
概览
一个本地 MCP 服务器,静态检查前端 HTTP 调用与后端暴露的路由是否一致,返回漂移、契约映射和代码与规范差异。
- 可以做什么
- 在前端调用点与后端路由之间执行契约检查,以 JSON 返回总数以及漂移和无法验证的条目。获取所有端点及其状态的完整解析契约映射。列出没有前端调用到达的后端路由。将从源码解析的路由与 OpenAPI 规范比对,找出未记录和幽灵路由。自动探测附近的仓库并写入 tieline 配置文件。
- 适用场景
- 当助手同时处理前端和后端仓库,需要以确定性的、亚秒级的方式判断两侧是否仍然一致时使用,例如提交 PR 之前或作为 CI 式门禁。它适合检查路径和方法漂移,不适用于载荷级别的契约测试。
- 运行要求
- 通过 npx 从 npm 包以本地 stdio 进程运行,也可从全局安装运行。需要两侧的源代码以及 tieline 配置文件,可手写或由 init 工具生成。未声明认证、环境变量或请求头。
安装
在 SourceWeft 中
- 打开 控制台中的 tieline,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
tieline
Static frontend↔backend contract-drift checker. Pact without writing a single contract test.
[npm] [CI] [license: MIT] [node] [tests] [dependencies]
tieline reads the code you already wrote on both sides of an API boundary — the
HTTP calls your frontend makes and the routes your backend exposes — and tells you
where they disagree. No contract tests to author, no broker to run, no backend to
boot. It finishes in well under a second and is built to run in CI as a gate.
Delete the LLM and a developer still installs it.
tielineis a deterministic tool first; an agent reading its output is a bonus.
How it works
Both sides are reduced to a canonical (METHOD, path) and joined. The matcher is
adapter-agnostic — any client adapter pairs with any server adapter, so the
same engine checks a React app against Express, an Angular app against Spring, or
anything against an OpenAPI spec.
tieline vs alternatives
These tools solve neighbouring problems — pick by what you have and what you want guaranteed.
They compose: tieline catches FE↔BE drift statically in every PR, tieline doctor
keeps code↔spec honest, and a runtime tool like Pact or Schemathesis can guard the
payload/behaviour layer underneath.
Quick start
Install (or run with npx):
Generate a tieline.config.json — init sniffs the surrounding directories
(cwd, its children, and its siblings) for known stacks and writes a ready-to-run
config:
It detects adapters from package.json deps (@reduxjs/toolkit, axios,
@angular/core, @nestjs/core, express, fastify, next),
requirements.txt / pyproject.toml (fastapi, flask), pom.xml /
build.gradle (spring), and any OpenAPI doc as a fallback. Anything it can't
detect is written as a placeholder for you to edit. The file is always
overwritten, so re-run it whenever your layout changes.
Or write it by hand — at the root of (or above) your repos:
Run it:
check exits non-zero when any failOn bucket is non-empty — drop it into CI and
the build fails the moment the two sides disagree.
Commands
Supported stacks
Any client adapter pairs with any server adapter — the matcher never changes.
That covers MERN (rtk/axios ↔ express), MEAN (angular ↔ express), MEVN
(axios ↔ express), Next full-stack, Python (fastapi/flask), and
enterprise (angular ↔ spring) — plus openapi for any backend that emits a
spec (Express+swagger-jsdoc, FastAPI, Spring springdoc, .NET Swashbuckle, …).
Notes:
expresswalks theapp.use()mount graph acrossrequire/importboundaries and nested routers; routers it can't reach are flagged, never dropped.nextis file-system routing — app-router files exportGET/POST/…; pages-router handlers serve any verb (matched asALL).- Runtime-built urls (e.g.
`users/${id}?x=${q}`) are surfaced as unverifiable rather than guessed.
Configuration
tieline.config.json — repo paths resolve relative to the config file.
Visual report
tieline check --html report.html writes one self-contained file (inline
CSS/JS, no external assets) you can open in any browser or attach to a PR:
- a contract-flow diagram — frontend resources on the left, backend on the
right, curved links coloured green (matched) / red (drift), with a
∅ no routenode catching calls that land nowhere; hover a resource to highlight its links - a health ring, summary cards, and live-filterable drift / unverifiable / unused tables
tieline doctor — does your code match your published docs?
doctor diffs routes parsed from source (a native adapter like nestjs) against
the routes declared in your OpenAPI spec (server.spec):
- undocumented — working routes invisible to anyone generating an SDK or partner integration from the spec.
- phantom — the spec promises a route the code no longer serves (stale docs).
Run it alongside check and your spec can never silently drift from your code.
Use as an MCP server
tieline ships an MCP server so an agent can ask "do these two repos still agree?" and get the same structured result the CLI produces — no LLM does the analysis, the deterministic engine does. It's still zero-dependency: the server is hand-rolled stdio JSON-RPC, no SDK.
Register it with any MCP client (Claude Code, Claude Desktop, …):
Or, from a global install (npm i -g @nugehs/tieline), just "command": "tieline-mcp".
It exposes five tools, each returning JSON:
config defaults to searching upward from the server's working directory, exactly
like the CLI — so an agent dropped into a repo with a tieline.config.json can
just call tieline_check.
Architecture
Each side implements a single extractor; everything downstream is shared.
A new framework is a new adapter (~80 lines) — the normalizer, matcher, reporters,
and CLI never change. Path-existence drift ships today; OpenAPI DTO-shape
diffing (--deep) and SARIF/PR annotations are on the roadmap.
Tests
71 tests on Node's built-in runner:
- normalize — every param syntax (
${id}/:id/<int:id>/[id]/{id}), query stripping, basePath, path joining - matcher — all four buckets, drift hints (method-mismatch, "did you mean"),
ignore,ALL/ANYany-verb routes, cross-syntax param matching - adapters — every client + server adapter against a fixture, plus edge cases
via throwaway temp repos (Express
app.all+ unmounted router, Next route groups- catch-all, Spring
@RequestMapping(method=…), Flask default-GET, runtime urls → unverifiable, non-HttpClient.get()ignored)
- catch-all, Spring
- openapi —
servers[].urlprefix, Swagger 2basePath,stripPrefix - doctor — undocumented / phantom / matched + hints
- init — stack auto-detection (node deps, Python, Spring, OpenAPI fallback), dir-name bias, sibling/child scanning, placeholder fallback, config round-trip
- integration — three cross-stack proofs (RTK↔Express, Angular↔Spring,
axios↔FastAPI) and the real CLI (exit codes,
--json,--html,doctor) - mcp — the stdio JSON-RPC server: handshake,
tools/list, a realtieline_checkover a fixture, in-band tool errors, method-not-found
Roadmap
- SARIF output — inline drift annotations on GitHub PRs
--deep— diff request/response DTO shapes, not just paths, via OpenAPI (catches a renamed field or changed enum, where the expensive bugs live)- More adapters —
react-query/swrfirst-class clients,koa/djangoservers - AST extraction — replace regex parsing for exotic declarations
Known limits today: regex-based extraction (robust on conventional code), one
@Controller per file, path/method existence only. GraphQL is out of scope.
License
MIT © Segun Olumbe
Part of the toolchain
tieline is one of four tools that form a deterministic trust layer for AI-assisted development. Each answers a question people keep handing to an LLM — with static analysis instead.
- repoctx — context: what does this change actually touch?
- tieline (this tool) — contracts: did the front end and back end quietly stop agreeing?
- bouncer — compliance: could you defend this to Ofcom?
- aiglare — governance: where can the model do something you can't undo?
More at segunolumbe.com. static analysis, never the model.
来源:README.md,提交 8f56e97
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0版本历史
1- v0.1.4最新Sep 16, 2026
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