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PopNx MCPMCP servers for people who use AI · explained in plain words

GaugeMesh

by aliengineering-byteversion 0.4.1i★ –iRuns on your computer
Registry nameio.github.aliengineering-byte/gaugemesh

Install

Overview

Description from the maker (original English)

Route MCP capabilities through deterministic identity, policy, budget, and deadline constraints.

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: Other

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

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": {
    "gaugemesh": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
        "mcp-stdio"
      ]
    }
  }
}

Run this in your terminal

claude mcp add gaugemesh -- docker run -i --rm ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189 mcp-stdio

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "gaugemesh": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
        "mcp-stdio"
      ]
    }
  }
}

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": {
    "gaugemesh": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/aliengineering-byte/gaugemesh@sha256:69f3ccb7c2fdcd9b6897c99eba22d18be1384957bb2dbdf760f8273ee2e43189",
        "mcp-stdio"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aliengineering-byte, 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 Otheri

  • More stars than 0% of the other 32455 servers in this category
  • Published to the registry more recently than 35% of the other 32455 servers in this category
  • Basic checks equal to or better than 100% of the other 32455 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 GaugeMesh 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 (0.4.1) reached the registry 2 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SSTracker free youth training

Alternatives

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

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

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Remote Desktop Commander

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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.

GaugeMesh

One endpoint for MCP capabilities and model routes—without losing identity, authority, budgets, deadlines, side-effect semantics, or causal evidence between protocols.

GaugeMesh is a local-first Rust developer preview. It is deliberately narrower than a general AI gateway: every adapter must preserve declared invariants or reject the operation before a side effect. Route selection is fixed-point, deterministic, and explainable. The base deployment is one binary with memory or SQLite; it needs no hosted control plane, Redis, PostgreSQL, Docker, or Kubernetes.

Install without Rust from the checksummed, attested GitHub Release or run the multi-architecture GHCR image. Crates.io is not a GaugeMesh distribution channel. The real stdio MCP server is gaugemesh mcp-stdio; its Official MCP Registry metadata is checked in as server.json.

The source tree also provides opt-in bounded durable Runs: caller-authored plans over the existing Tasks, verified file outcomes, explicit resume/cancel, and offline evidence verification. See that contract for the local Unix boundary and the external installed-binary qualification commands.

Two explicit first-use paths are available from release source:

  • A neutral recoverable Run, with observable worker effects, restart/refusal cases and offline verification.
  • An optional educational section-mechanics review, using the same public interface. Its original formulas stay outside the binary; standards catalog metadata is not an authorized rule implementation or approval.

Run the local proof

From a release archive:

gaugemesh demo

From source with Rust 1.88 or newer:

cargo run --locked --release -- demo

No account, credential, provider, network target, database, container, or existing MCP server is used. The command writes no file to the caller directory.

Actual output from the 0.1.0 release binary:

GaugeMesh demo

[ok] 2 MCP sources connected [ok] 1 model route connected [ok] colliding tool names isolated by capability identity: true [ok] 2 capabilities leased [ok] route selected under cost, deadline, and policy bounds [ok] deterministic failure reproduced [ok] recovery bounded to one attempt [ok] duplicate effects: 0 [ok] invariants preserved or strengthened: 23/23 [ok] cleanup complete: no owned child or listener remains

Route: local-model -> docs-a__search Decision: sha256:169a6315aa69eb7fa3e3b5aae70ede14d4c9ec71c0281d217fd84201414567f1 Evidence: sha256:9a9cdc8b673bab79ae96cf5aba5b7895d6e6e5f425407d1bd64da8701a1314e6

What the demo proves

  • Two upstreams can expose the same native search name without sharing an authorization identity.
  • A lease binds an exact principal, tenant, task, schema, capability set, expiry, scope, budgets, side-effect permission, and manifest digest.
  • Hard route constraints run before an integer action score and stable tie breaker.
  • One injected failure consumes the single retry budget; it cannot amplify.
  • The checked translation preserved or strengthened 23 invariants with zero semantic loss.
  • The read-only case observed zero duplicate effects and completed with no owned child process or listener.

The demo is deterministic fixture evidence, not a production-duration soak or security certification.

Inspect the route planner and its versioned decision contract independently. The final command uses a built-in fixture in which every candidate violates a hard constraint, so the output is a digest-bound denied decision rather than an unsafe fallback:

gaugemesh route explain

gaugemesh route explain --decision-contract gaugemesh route explain --deny-all gaugemesh route schema gaugemesh route validate decision.json

Architecture

MCP clients --------------------+  /mcp

| OpenAI-compatible clients ------+--> GaugeMesh --> invariant + policy boundary | | before execution MCP servers needing models -----+ /v1/* +--> MCP stdio / Streamable HTTP +--> OpenAI-compatible providers +--> official/private registries

ResiliReplay ---------------------- verification only; never a production hop

GaugeMesh is an MCP server northbound and an MCP client southbound. It is an OpenAI-compatible server northbound and a client of configured compatible model providers southbound. Registry records are discovery metadata, not execution authority.

Add one MCP server

Create a strict loopback configuration:

gaugemesh init

Review and add a local stdio server. --command must resolve to an absolute executable and is launched with an argument array, never through a shell:

gaugemesh add mcp docs \

--command "$(command -v gaugemesh)" \ --arg mcp-stdio \ --protocol-revision 2025-11-25

add performs live discovery and writes the source only after tools, resources, templates, prompts, server identity, and revision are readable. serve loads reviewed sources into a bounded runtime, pins the capability snapshot, and rejects schema drift. Tools, resources, and prompts keep source-bound opaque identities even when readable aliases collide. Streamable HTTP sources use the same command with a reviewed --url; Registry search/inspect/approve is a separate trust path and never installs or executes a discovered package.

Add one model

The provider must expose a compatible /v1/models endpoint. To exercise the complete no-key setup, keep gaugemesh serve running in one terminal and add its built-in local model route from another:

gaugemesh serve
gaugemesh add model local-provider \

--base-url http://127.0.0.1:8090/v1/ \ --provider-model-id local \ --context-limit 8192 \ --max-output-tokens 1024 \ --cost-table-version local-2026-08-30

For a credentialed provider, pass the environment-variable name, not its value:

gaugemesh add model hosted \

--base-url https://provider.example.test/v1/ \ --provider-model-id reviewed-model \ --credential-env PROVIDER_API_KEY \ --cost-table-version contract-2026-08

Configured routes are checked against capability, context, deadline, token, money, retry, data, and side-effect limits before selection. Cost tables are version-bound; estimates are not presented as provider billing facts.

Connect an MCP client

Start the data and separately bound health listeners:

gaugemesh doctor

gaugemesh list gaugemesh serve gaugemesh connect generic-mcp

Loopback defaults are http://127.0.0.1:8090/mcp for Streamable HTTP, http://127.0.0.1:8090/v1 for the model API, and http://127.0.0.1:8092/healthz for health. The official MCP conformance client connects to /mcp separately for both supported revisions. GaugeMesh also has real RMCP integration tests as an upstream client over stdio and Streamable HTTP. Product-specific client installers are not emitted without installation evidence.

Connect an OpenAI-compatible client

Point a client that supports a custom base URL at GaugeMesh:

gaugemesh connect openai-compatible

curl http://127.0.0.1:8090/v1/chat/completions \ -H 'content-type: application/json' \ -d '{"model":"local","messages":[{"role":"user","content":"hello"}]}'

The release gate also executes openai-python==3.6.0 against that base URL for model listing, chat completions, and Responses. The implemented surface is GET /models, POST /chat/completions, and POST /responses, with bounded JSON and SSE behavior. Unknown request fields are rejected. This is a verified subset, not complete OpenAI API compatibility.

Tool execution is off unless a request explicitly selects a GaugeMesh mode and bound:

x-gaugemesh-tool-mode: lease

x-gaugemesh-max-tool-rounds: 1 x-gaugemesh-deadline-ms: 3000

These extension headers are not OpenAI fields. An MCP server can call /v1/* directly for model access; deprecated MCP sampling is not silently converted. Unsupported sampling and elicitation paths return stable errors or enter an explicit approval backend.

Five invariant rules

  1. A route is a typed trust-graph path; a display alias never identifies a node.
  2. Principal, tenant, capability, schema, causal root, and provenance are conserved unless a checked delegation explicitly permits the transition.
  3. Scope, delegated authority, deadline, money, tokens, and retries only shrink; data protection never decreases.
  4. Optional translation loss has a bounded integer score; required semantic loss rejects before target execution.
  5. Queue pressure, retry dissipation, and breaker hysteresis use ordinary, falsifiable software definitions. No physics analogy overrides the code.

Run gaugemesh route explain for the original 0.1.0 bare plan containing accepted and rejected candidates, integer score terms, the stable tie breaker, and policy/metric snapshot digests. Existing machine consumers retain that shape. Opt into the versioned selected wrapper with --decision-contract. gaugemesh route explain --deny-all returns the new contract with status: "denied", stable GM_ROUTE_NO_ELIGIBLE_CANDIDATE, every constraint rejection, and the snapshot digests. Route IDs must be unique, denied candidates must carry nonblank reasons, and candidate/reason ordering is canonical. Both selected and denied contracts include decision_digest, a SHA-256 digest over the canonical unsigned decision fields other than the digest itself.

The checked-in route-decision JSON Schema documents the wire contract. Save a decision and run gaugemesh route validate to check its schema, digest, and derivable selection/denial invariants entirely offline. The digest is unsigned and recomputable integrity, not authentication against a party able to rewrite the whole decision. Decisions contain route IDs and constraint reasons; validation does not upload them, and they should be sanitized before sharing. The analogy boundary is documented in the physics model.

Safety boundaries

  • Unauthenticated mode is loopback-only. Remote mode requires TLS, an explicit HTTPS public origin, exact OIDC issuer/audience/resource validation, required scopes, bounded JWKS caching, a trusted-proxy allowlist, and default-deny policy.
  • API-key primitives use random material shown once, Argon2id hashes, tenant/scope binding, and revocation; the 0.1.0 remote listener authenticates OIDC bearer tokens rather than exposing an API-key administration service.
  • Downstream bearer tokens are never passed upstream by default. Provider credentials remain environment or restricted-file references and are not ordinary SQLite values.
  • Remote URLs reject unsafe schemes/address classes, pin approved DNS answers, bind the exact host/port and peer IP, disable automatic redirects, and bound response bodies.
  • Stdio uses exact argv, kill_on_drop, startup/framing limits, restart budgets, and a security-partitioned process key. Unknown servers are non-shareable.
  • Admission queues, request bodies, process output, SSE output, tool rounds, and shutdown waits are bounded. Cancellation propagates through owned resources.

See SECURITY.md, THREAT_MODEL.md, and the adversarial evidence. The bounded durable MCP Tasks route documents its separate failure and trust boundaries. GaugeMesh does not claim exactly-once execution, production readiness, universal client/provider support, official MCP status, MCP certification, or security certification.

Verified compatibility

| Surface | Eviden

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

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