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

Reelier

by seldonframeversion 0.24.0i★ –iRuns on your computer
Registry nameio.github.seldonframe/reelier

Install

Overview

Description from the maker (original English)

Snapshot tests and CI for agent workflows: record a run, replay it at 0 tokens, diff for drift.

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

  • 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": {
    "reelier": {
      "command": "npx",
      "args": [
        "-y",
        "reelier",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add reelier -- npx -y reelier serve

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "reelier": {
      "command": "npx",
      "args": [
        "-y",
        "reelier",
        "serve"
      ]
    }
  }
}

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": {
    "reelier": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "reelier",
        "serve"
      ]
    }
  }
}

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account seldonframe, 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 32602 servers in this category
  • Published to the registry more recently than 21% of the other 32602 servers in this category
  • Basic checks equal to or better than 100% of the other 32602 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 Reelier 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 (0.24.0) reached the registry 3 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: Spec Driven Development, Remote Desktop Commander, Rystic

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Rystic

by Rystic-Inc

Start, seed, clock, inspect and diff Rystic API simulators from your agent.

Runs on your computerUpdated today
Install

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.

Reelier

Let your agents write. Keep the receipts.

*Your agents worked all night. Here's exactly what changed.*

Reelier records the run that worked, freezes it as a replayable skill, and replays it deterministically — every run comes back as a receipt: proof of what the agent did and what changed because of it. Agents make claims. Reelier writes receipts.

[Website](https://www.reelier.com) · [Docs](https://www.reelier.com/docs) · [SPEC.md](./SPEC.md)

▶ watch with sound (27s)


Receipts on your agent PRs — install and done

Agent-authored PRs (Dependabot, Claude, Codex, Cursor, …) get a receipt comment in seconds: author, files changed, declared scope vs. what actually changed, sensitive paths flagged. No workflow file, no CLI, no config.

[→ Install the Reelier receipts GitHub App](https://github.com/apps/reelier-receipts) — free on public repos, forever.

Reelier receipt — agent PR

Author: dependabot[bot] · Files changed: 2 (+119 −41)

Declared scope: none (add .reelier/scope.yml to enable unexpected-write detection)

Sensitive paths touched: ⚠ 1 — package-lock.json

Proves scope and change, not correctness

A real receipt from Reelier's own repos — see one live. Declare scope per agent in .reelier/scope.yml (or a reelier-scope block in the PR body) and the receipt reports unexpected writes. The receipt proves scope and change, never correctness or safety.


Why

AI agents are non-deterministic — the same prompt, a different result every run — and they'll claim they did the work whether they did or not. Reelier records the run that worked, replays it deterministically, and writes a signed receipt that proves it. Point it at your existing CI in one workflow — it adds a verifiable receipt, it doesn't replace your stack.

Measured on a real head-to-head benchmark, same task, same data (full method):

  • 1,000 / 1,000 replays byte-identical
  • Every replay ships a signed receipt — proof of what ran and what changed, never a claim
  • 0 LLM calls at replay — deterministic re-execution, not re-reasoning

Deterministic replay is also ~50× cheaper and ~59× faster than re-running the agent, on the same benchmark.

Install

npm i -g reelier && reelier init
# No Node install needed — same commands via Docker:

docker run --rm ghcr.io/seldonframe/reelier --help

reelier init [--dry-run] performs one checkpointed local inspection across all three Reelier paths: Path A observation coverage, Path B replay/freeze candidates, and Path C boundable/outcome-capable/shadow-only/unsupported connections and candidates. It does not deploy, gate, dispatch, upload, copy credentials, or rewrite host configuration. --dry-run writes nothing; the normal command writes only sanitized artifacts below .reelier/init/.

As an agent plugin

Teach your coding agent when to reach for Reelier. Same two commands, either host:

claude plugin marketplace add seldonframe/reelier

claude plugin install reelier@seldonframe

codex plugin marketplace add seldonframe/reelier

codex plugin add reelier@seldonframe

This installs two Agent Skills and nothing else. reelier-replay teaches your agent to freeze a repeatable tool-call job and replay it at 0 tokens. reelier-write-safety covers bounding an agent's writes before you grant them: what the recorder sees, what a policy refuses, and what a receipt does and does not prove. It ships no MCP servers, so it does not wrap, observe, or gate any tool call on its own; the reelier CLI does that, and the skills drive it via npx. Packaged in both the Agent Plugins v1.0.0 format (plugin/agent-plugins/) and the Claude Code format (plugin/claude/), generated from one source by scripts/build-plugin-packages.mjs.

Verified end to end on codex-cli 0.147.0-alpha.1.2: both formats install, enable, and the skill reaches the model. Other hosts are untested, and per-host status is tracked in docs/specs/agent-plugins-coverage-v1.md §4 rather than claimed here.

How to use it

reelier init --dry-run              # inspect Path A/B/C locally; write nothing

reelier init # persist resumable sanitized inspection artifacts reelier run .skill.md # replay deterministically — 0 tokens (read-only by default) reelier diff # SAME or DRIFTED, per step — exit 1 on drift reelier push .skill.md # sync receipts to your ledger (opt-in) reelier ci # write a workflow: drift-CI + PR receipts, one command

  1. Inspect, then record or freeze. reelier init reveals observed coverage and local candidates without changing routes. reelier mcp --wrap " " proxies live tools; reelier scan/from-session freezes supported history.
  2. Compile. reelier compile turns a trace into a SKILL.md — 0 LLM calls, minimal assertions, honest gaps printed as Open questions.
  3. Replay. reelier run replays it at Level 0 — no LLM, byte-identical, read-only by default (writes need --allow-writes).
  4. Diff. reelier diff reports SAME or DRIFTED per step, with the failing assertion as the *why* — exit 1 on drift.
  5. Log in. reelier login connects this machine to Reelier Cloud with a device code in your browser — or set REELIER_CLOUD_URL/REELIER_CLOUD_KEY for CI and self-hosting.
  6. Push. Every run is a receipt; reelier push optionally syncs it to a ledger for a permalink and an embeddable verified-replay badge.

Already have an Agent Skill? Convert it — your skill, minus the model:

reelier compile trace.jsonl --from-skill ./my-skill/SKILL.md

Three tests, one skill

TestCommandAnswers
Determinismreelier run *Does this still do what it did?*
Recoveryreelier run --fail N*If this broke, would the skill notice and heal?*
Driftreelier run --wrap " "*Has the world moved out from under this skill?*

*Taxonomy due to Mads Hansen's review of the launch post.* Full semantics for each test, including recovery injection and manifest guardrails: docs/REFERENCE.md.

Gate Dependabot / Renovate bump PRs

Dependabot and Renovate open the PR and run your test suite — but neither knows what your agent actually *does* at runtime, so a dependency bump that silently changes a tool call's shape (a renamed field, a new default, a different error) sails through with green unit tests. This is the check they don't run.

Copy .github/workflows/reelier-bump-check.yml into your repo, point skill: at your own recorded .skill.md file(s), and it will: gate to PRs from dependabot[bot]/renovate[bot] (or a dependencies label), install the bumped dependency, replay your recorded skill live against it at --max-level 0 (0 tokens), and fail the check on the exact step that drifted.

This tests dependency and MCP-tool-call behavior — it does not test model upgrades; --max-level 0 never calls an LLM. Full listing copy and setup: docs/marketplace-listing.md.

Prove it

A pushed receipt carries a ladder of independently-verifiable claims — not one blanket "verified." Depending on what you turn on, it can be signed, timestamped, CI-attested, and carry cross-checkable provider request-ids. reelier verify recomputes every claim offline, and a claim you haven't enabled just renders as an honest gap, never a shamed one.

See a real one: reelier.com/r/HWBdmGob9KeHRqXi-OEaRD0z.

Full 8-rung ladder, what each rung does and doesn't prove: docs/REFERENCE.md.

If your skills are employees

Employee lifecycleReelier equivalent
Skillify a sessionreelier from-session
Performance reviewreelier run + reelier diff
Fleet maintenancescheduled replays + drift alerts
The recordsigned receipts

"Verified" describes the record, never the agent — a receipt proves what ran and what changed, not that the agent was good at its job.

An employment contract doesn't make an employee good — it makes what they did visible and bounded. Same here: receipts prove scope and change, never correctness.

Who it's for

  • Solo dev / OSS maintainer — a real regression test again; drift can't pass silently.
  • Team shipping agent changes — "it ran clean" becomes a checkable PR artifact, not a claim.
  • Agency running agents for clients — signed, timestamped proof-of-delivery a client can verify.
  • Marketplace buyer or seller — corroborated receipts are reviews that can't be astroturfed.
  • Audit-facing ops — a signed, CI-attested trail of every write, idempotency key included.

MIT, free forever (versions ≤0.16.0 remain AGPL-3.0). Your data — skills, traces, runs — is specified in SPEC.md, so leaving is copying a folder.

Contributing: issues and PRs welcome — SPEC.md is the source of truth for formats; fix the code, not the spec. npm test before a PR.

If Reelier saved you a re-run, [star it](https://github.com/seldonframe/reelier) ⭐ — it's how other builders find it.

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