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tieline

by nugehsversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.nugehs/tieline

Install

Overview

Description from the maker (original English)

Static FE-BE contract-drift checker: finds frontend calls the backend does not expose. CLI + MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tieline": {
      "command": "npx",
      "args": [
        "-y",
        "@nugehs/tieline",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add tieline -- npx -y @nugehs/tieline mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tieline": {
      "command": "npx",
      "args": [
        "-y",
        "@nugehs/tieline",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tieline": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@nugehs/tieline",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account nugehs, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4927 servers in this category
  • Published to the registry more recently than 19% of the other 4927 servers in this category
  • Basic checks equal to or better than 100% of the other 4927 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is tieline safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 5 days ago

Computer or cloud

Desktop Commander

MCP server for terminal commands, file operations, and process management

by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 17 days ago

Runs on your computer

Cloudflare MCP

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by cloudflareGrowing★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

tieline

Static frontend↔backend contract-drift checker. Pact without writing a single contract test.

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. tieline is a deterministic

tool first; an agent reading its output is a bonus.


How it works

  frontend code                                  backend code

(axios, rtk-query, …) (express, nestjs, openapi, …) │ │ client adapter server adapter │ normalize ${id} :id {id} → {} │ └───────────────► join on (METHOD, path) ◄──────┘ │ ✅ matched ❌ drift ⚠️ unverifiable 🟡 dead

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.

ResultMeaning
✅ matchedFE call resolves to a real BE route
❌ driftFE call resolves but the BE has no such route/method — the bug bucket
⚠️ unverifiableFE url is built at runtime — reported, never guessed
🟡 deadBE route no resolvable FE call reaches (informational)

tieline vs alternatives

These tools solve neighbouring problems — pick by what you have and what you want guaranteed.

ToolHow it worksWhat it catchesWhat it needsReach for it when
tielineStatic analysis of FE call sites + BE route declarations, joined on (METHOD, path)A frontend calling a route the backend doesn't expose (path/method drift), undocumented/phantom spec routesSource code of both sides; nothing running, nothing authoredYou want a sub-second CI gate with zero contract tests to write or maintain
[Pact](https://pact.io)Consumer-driven contract tests executed at runtime, shared via a brokerRequest/response payload mismatches between specific consumer–provider pairsContract tests written on both sides, a Pact broker, provider verification buildsIndependent teams need payload-level guarantees and a can-I-deploy workflow
[openapi-diff](https://github.com/OpenAPITools/openapi-diff)Diffs two OpenAPI documentsBreaking changes between two spec versionsAccurate specs for both versions; doesn't read source codeYour API surface is spec-first and you want to gate spec changes
[Optic](https://www.useoptic.com)Tracks your OpenAPI spec over time and diffs every change in CIBreaking changes and style/standards violations in the spec's historyAn OpenAPI spec kept in the repoYou govern an evolving spec and want each PR's API changes reviewed
[Schemathesis](https://schemathesis.io)Property-based fuzzing of a running API against its OpenAPI/GraphQL schemaServer crashes, schema violations, undocumented responses at runtimeA bootable backend + a schemaYou want runtime conformance and robustness testing of the implementation

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):

npm install -g @nugehs/tieline

or, from a clone: git clone … && cd tieline && npm link

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:

tieline init
  tieline · init

scanning ~/code for repos… ✔ client: rtk-query → web (roots: src/redux/apis) ✔ server: nestjs → api (roots: src)

📝 wrote tieline.config.json

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:

{

"client": { "adapter": "rtk-query", "repo": "../web", "roots": ["src/redux/apis"], "basePath": "/api/v1" }, "server": { "adapter": "nestjs", "repo": "../api", "roots": ["src"], "globalPrefix": "api/v1" }, "failOn": ["drift"] }

Run it:

tieline check
  tieline · contract check

❌ 2 drift (FE calls a route the backend does not expose) GET /users/{} getUser · web/src/redux/apis/user-api.ts:42 → did you mean "user/{}"? # plural vs singular — a guaranteed 404 PUT /orders/{} updateOrder · web/src/redux/apis/order-api.ts:88 → path exists but as GET, not PUT # method mismatch

✅ 274 matched ❌ 2 drift ⚠️ 6 unverifiable 🟡 31 unused backend routes

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

tieline init       # auto-detect nearby repos and write tieline.config.json

tieline check # FE↔BE drift; exits non-zero on drift (the CI gate) tieline list # the full resolved contract map (every endpoint + status) tieline orphans # backend routes no frontend call reaches tieline doctor # code↔spec drift (see below)

FlagEffect
--config Path to tieline.config.json (default: searched upward from cwd)
--jsonMachine-readable output
--html Self-contained visual report (see Visual report)
--no-failAlways exit 0 (report only)

Supported stacks

Any client adapter pairs with any server adapter — the matcher never changes.

Client (calls)Server (routes)
rtk-query — Redux Toolkit Querynestjs — decorators
axios-fetch — axios / fetch, React Query & SWR queryFnsexpress — app.use() mount graph, cross-file
angular-http — Angular HttpClientfastify — verb shorthand + route({})
next — file-based (app router + pages API)
fastapi — APIRouter prefix + include_router
flask — blueprints + methods=[]
spring — @RequestMapping + @*Mapping
openapi — universal: any OpenAPI 2/3 doc (file or URL)

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:

  • `express` walks the app.use() mount graph across require/import boundaries and nested routers; routers it can't reach are flagged, never dropped.
  • `next` is file-system routing — app-router files export GET/POST/…; pages-router handlers serve any verb (matched as ALL).
  • 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.

{

"client": { "adapter": "rtk-query", // rtk-query | axios-fetch | angular-http "repo": "../web", "roots": ["src/redux/apis"], // dirs to scan for call sites "basePath": "/api/v1" // stripped from call sites before matching }, "server": { "adapter": "nestjs", // nestjs | express | fastify | next | fastapi | flask | spring | openapi "repo": "../api", "roots": ["src"], "globalPrefix": "api/v1", // stripped from routes before matching "spec": "openapi.json" // openapi adapter & doctor only — file path or URL }, "ignore": ["internal/.*"], // regexes on the normalized path "failOn": ["drift"] // buckets that make check exit non-zero }


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 route node 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):

  tieline · doctor   code (nestjs)  ↔  spec (http://localhost:9999/doc-json)

❌ 4 undocumented (in code, missing from the published spec) GET /billing/invoices src/billing/billing.controller.ts:54 POST /webhooks/stripe src/webhooks/webhooks.controller.ts:21 ... 👻 1 phantom (in the spec, no matching route in code)

✅ 312 agree ❌ 4 undocumented 👻 1 phantom (316 code routes, 313 spec routes)

  • 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, …):

{

"mcpServers": { "tieline": { "command": "npx", "args": ["-y", "-p", "@nugehs/tieline", "tieline-mcp"] } } }

Or, from a global install (npm i -g @nugehs/tieline), just "command": "tieline-mcp".

It exposes five tools, each returning JSON:

ToolArgsReturns
tieline_checkconfig?totals + drift + unverifiable (the drift gate)
tieline_listconfig?the full resolved contract map
tieline_orphansconfig?backend routes no frontend call reaches
tieline_doctorconfig?undocumented + phantom (code ↔ spec)
tieline_initcwd?auto-detect nearby repos, write a config

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

Only the beginning is shown; read the rest in the repo

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