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Rails MCP

by jaimenbellversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.jaimenbell/rails-mcp

Install

Overview

Description from the maker (original English)

Default-deny action registry, append-only spend ledger, and human sign-off audit trail (MCP tools).

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: Accounting, finance & tax

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

  • PyPIPython’s uv installed (for the uvx 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": {
    "rails": {
      "command": "uvx",
      "args": [
        "rails-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add rails -- uvx rails-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "rails": {
      "command": "uvx",
      "args": [
        "rails-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": {
    "rails": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "rails-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 jaimenbell, 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 Accounting, finance & taxi

  • More stars than 0% of the other 2949 servers in this category
  • Published to the registry more recently than 22% of the other 2949 servers in this category
  • Basic checks equal to or better than 100% of the other 2949 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 Rails MCP 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 (0.1.0) reached the registry 4 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Finance Toolkit, SolidInvoice, Korea Tax Calculator

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

Finance Toolkit

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

by JerBoumaWidely used↓ 15.5K/wk★ 5.5KUpdated 2 days ago

Computer or cloud

SolidInvoice

Create and send invoices and quotes, manage clients, and track payments in SolidInvoice.

by SolidInvoiceGrowing★ 981Updated 9 days ago

Runs in the cloud✓ solidinvoice.co

Korea Tax Calculator

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

by UpstageAIGrowing↓ 3.2K/wk★ 97Updated today

Runs on your computer

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.

rails-mcp

A self-hosted, caller-configured default-deny action registry + append-only spend ledger + CLI-only sign-off audit trail, exposed as MCP tools. Different category from this author's other six MCP servers (mcp-factory, rag-mcp, bus-mcp, desktop-mcp, github-mcp, discord-mcp) -- those are devtools ("connect an agent to X"); this one is governance and safety: "stop an agent from doing something irreversible without a human noticing."

Ported and generalized from a live internal registry (shared/rails/, 31 tests, running against a real multi-bot fleet since 2026-07-06) -- this pattern shipped internally before it shipped publicly.

What this is / is not

Is:

  • A schema + pure logic for classifying action_type strings as unconditionally GATED (default-deny), registered or not.
  • A place to register what you know about an action-type's current enforcement (enforcement_layer, enforcement_pointer, ceremony) -- informational, never permissive.
  • An append-only spend-intent ledger + rolling-window budget check.
  • An append-only human sign-off ledger, recording who blessed the registry's current hash and when.

Is NOT:

  • Not an enforcer. classify_action returning GATED does not block anything by itself. You still wire it into your own PreToolUse hook, permission deny-list, or CI gate -- rails-mcp gives you the schema and the audit trail, not the interceptor. record_spend_intent records intent to spend; it never calls a vendor, a paid API, or a broker, and nothing here stops an over-budget spend from happening.
  • Not pre-loaded with any action-type data. Every adopter supplies their own registry (a YAML/JSON config file, or a plain dict). No fleet's specific action-types ship with this package.
  • Not multi-tenant. The sign-off ledger assumes one human operator string per registry; fine for v1, a known limitation for later.

The one invariant that is never configurable

classify_action(action_type) always returns "GATED" -- registered or not, whatever config was loaded, no argument or config field can change it. This is the whole product. A config-driven fail-open knob would defeat the entire pitch, so classify() (rails_mcp/registry.py) takes only an action_type argument: there is no parameter through which a caller could ever make it return anything permissive. is_action_registered answers a separate, purely informational question -- "do I know something about this action-type's enforcement?" -- and never feeds back into the GATED verdict.

Quickstart (60 seconds)

pip install rails-mcp

Add to your Claude Desktop/Code MCP config:

{

"mcpServers": { "rails-mcp": { "command": "rails-mcp" } } }

No console script on PATH? Fall back to "command": "python", "args": ["-m", "rails_mcp"].

By default the registry loads empty (honest-empty, not fail-open -- classify_action is still unconditionally GATED for everything). Point it at your own action-type config:

{

"mcpServers": { "rails-mcp": { "command": "rails-mcp", "env": { "RAILS_MCP_CONFIG_PATH": "C:\\path\\to\\rails.config.yaml" } } } }

See examples/rails.config.example.yaml (or .example.json) for the config shape.

Tools

All six are read-mostly -- none of them can write to the sign-off ledger.

ToolPurpose
classify_action(action_type)Default-deny verdict: always "GATED". Implemented in rails_mcp/registry.py::classify, tested in tests/test_registry.py + tests/test_server.py.
is_action_registered(action_type)Whether the loaded registry has an entry, plus enforcement_layer/enforcement_pointer/ceremony when present. rails_mcp/routes.py::is_action_registered, tested in tests/test_routes.py.
get_rails_hash()12-hex sha256 digest of the loaded registry + entry count -- the value a human sign-off records. rails_mcp/registry.py::rails_hash, tested in tests/test_registry.py.
get_signoff_state()Current active human sign-off, or null. Read-only. rails_mcp/registry.py::load_signoff_state, tested in tests/test_registry.py + tests/test_routes.py.
record_spend_intent(amount_usd, vendor, purpose, actor)Append one spend-intent record. Never calls a vendor or paid API. rails_mcp/spend_ledger.py::record_spend_intent, tested in tests/test_spend_ledger.py.
evaluate_budget(limit_usd, window_days=30.0)Rolling-window spend total vs. limit. Never raises. rails_mcp/spend_ledger.py::evaluate_budget, tested in tests/test_spend_ledger.py.

The CLI-only sign-off boundary -- and why it exists

append_signoff -- the function that records a human blessing the registry's current hash -- is deliberately not an MCP tool, and never will be. It is exposed only as a CLI command a human runs by hand:

rails-mcp sign --operator "jaime" --note "reviewed 2026-07-16 config"

Why: the boundary exists to prevent an agent holding only this server's MCP tool connection from self-approving an irreversible action. If append_signoff were reachable as an MCP tool, any agent holding this server's connection could sign its own registry -- silently defeating the one thing the boundary exists to enforce. This mirrors the internal design rule the original shared/rails/ implementation was built around: the lane that builds the auditor never signs the registry it ships. An auditor that can also sign isn't an auditor.

**What this boundary does *not* prove:** the sign-off ledger has no cryptographic tamper-evidence and no binding to a real human identity -- its integrity rests entirely on filesystem ACLs and the self-hosted deployment model, not on cryptography. An agent (or anyone) with shell or file-write access to the ledger's path can run rails-mcp sign itself, or hand-append a forged {"type": "signoff", ...} JSONL line straight into the file -- the ledger has no way to tell that apart from a real CLI invocation. The MCP-only boundary stops the narrower case of an agent that has *only* this server's MCP tool connection; it is not proof that a human reviewed anything, and shouldn't be read as one.

This boundary is enforced structurally, not just by convention:

  • rails_mcp/server.py and rails_mcp/routes.py never import or call append_signoff, anywhere -- proven by an AST-based check (not a naive string grep, which would false-positive on this very explanation appearing in their docstrings) in tests/test_server.py::test_append_signoff_unreachable_via_any_mcp_tool.
  • The registered MCP tool set is exactly the 6 read-mostly tools above -- no sign/append_signoff/revoke_signoff tool exists, checked in tests/test_server.py::test_all_six_rails_tools_registered.
  • A behavioral test drives every registered tool and confirms the sign-off ledger file is never created (test_no_registered_tool_can_create_a_signoff_record).
  • run_server.py (the entrypoint ~/.claude.json invokes) imports only rails_mcp.server, never rails_mcp.cli -- so even the process that serves MCP tools has no code path to the sign subcommand.

Env vars

VarDefaultPurpose
RAILS_MCP_CONFIG_PATHunsetPath to your rails.config.{yaml,yml,json}. Unset = honest-empty registry (nothing registered, classify_action still unconditionally GATED).
RAILS_MCP_SIGNOFF_LEDGER_PATH./rails_data/signoff.jsonlWhere the append-only sign-off ledger lives.
RAILS_MCP_SPEND_LEDGER_PATH./rails_data/spend.jsonlWhere the append-only spend-intent ledger lives.

Config file shape

actions:

deploy_prod: enforcement_layer: "L1" enforcement_pointer: "CI gate requires a passing e2e suite + a manual approve step" ceremony: "operator hand"

Or the more compact 3-element form (matches the internal registry's native shape):

actions:

deploy_prod: ["L1", "CI gate requires a passing e2e suite + a manual approve step", "operator hand"]

JSON works identically ({"actions": {"deploy_prod": [...]}}). See examples/ for full examples of both.

enforcement_layer should be honest, not aspirational -- "prose" (no structural rail exists yet, just a doc) is a legitimate, correct value. Rounding a "prose" entry up to "L1" because it feels better defeats the entire point of an honest registry.

Testing

.venv/Scripts/python.exe -m pytest -q

CI (.github/workflows/ci.yml) runs this suite on every push/PR and fails the build if the Tests badge above drifts from what the suite actually reports -- see scripts/check_readme_counts.py.

106 tests, all hermetic (every ledger/config path goes through tmp_path + an autouse env-isolation fixture in tests/conftest.py; nothing touches a real ./rails_data/). No network, no live-smoke gate needed -- this server has no external API to fake.

  • tests/test_registry.py (24) -- the ported + generalized registry logic: default-deny property tests, immutability, hash determinism, sign-off ledger fold/append/load, structural no-shell-out proof.
  • tests/test_spend_ledger.py (14) -- ported near-verbatim from the internal suite: append/load roundtrips, budget window math, naive- datetime honest-degrade, structural no-effector proof.
  • tests/test_config.py (18) -- new: env-var resolution, YAML/JSON loading in both entry shapes, honest-empty-when-unconfigured, loud failure on an explicit missing path.
  • tests/test_routes.py (14) -- the MCP tool surface's business logic, exercised directly.
  • tests/test_server.py (17) -- tool registration, passthrough correctness, and the CLI-only sign-off structural + behavioral proof.
  • tests/test_cli.py (8) -- the serve/sign subcommands, including that sign is genuinely append-only and prints a human-readable confirmation.
  • tests/test_check_readme_counts.py (11) -- this CI gate's own TDD suite: parse-claimed, parse-actual, compare, and main() end-to-end against match/drift/missing fixtures.

Install / connect

python -m venv .venv

.venv/Scripts/python.exe -m pip install -e ".[test]"

Registered in ~/.claude.json under mcpServers.rails-mcp as a stdio server invoking run_server.py by absolute path (no cwd needed -- the entrypoint adds its own directory to sys.path), OR via the rails-mcp console script once installed from PyPI.

Handshake check

.venv/Scripts/python.exe scripts/list_tools.py

Prints the six registered tool names with no transport started.

Competitive picture (fact-checked 2026-07-16)

The closest prior art is not a hosted dead-man's-switch product -- that's a different problem ("is the operator still alive and watching"). The closer comparisons, once actually verified:

  • [Microsoft Agent Governance Toolkit](https://github.com/microsoft/agent-governance-toolkit) -- MIT-licensed, backed by Microsoft, broader/heavier policy-enforcement scope covering the OWASP Agentic Top 10. The "big-name, well-resourced" adjacent entrant.
  • [Marchward](https://marchward.ai/) -- the closest feature-for-feature match: server-side credential injection, spend caps, human-approval gates for irreversible actions, tamper-evident logging, Apache-2.0 open-source proxy.
  • AgentLedger -- AGPL-3.0, overlaps spend_ledger.py s

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

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