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Stratum MCP

by smartmemoryversion 0.7.3i★ –iRuns on your computer
Registry nameai.smartmemory/stratum-mcp

Install

Overview

Description from the maker (original English)

Structured execution for coding agents: contracts, postconditions, gates, guardrails.

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": {
    "stratum": {
      "command": "npx",
      "args": [
        "-y",
        "@smartmemory/stratum"
      ]
    }
  }
}

Run this in your terminal

claude mcp add stratum -- npx -y @smartmemory/stratum

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "stratum": {
      "command": "npx",
      "args": [
        "-y",
        "@smartmemory/stratum"
      ]
    }
  }
}

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": {
    "stratum": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@smartmemory/stratum"
      ]
    }
  }
}

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 against the domain smartmemory.ai (the registry checks domain ownership)

  • … 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 32476 servers in this category
  • Published to the registry more recently than 51% of the other 32476 servers in this category
  • Basic checks equal to or better than 100% of the other 32476 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 Stratum 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 (0.7.3) reached the registry 38 days 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, zanadir

Alternatives

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

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

Runs in the cloud★ 211Updated yesterday
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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.

Stratum

State machine dispatch server for AI agent workflows.

*Your agent proposes the step. Stratum decides whether it actually finished.*

Stratum gives AI coding agents (Claude Code, Codex, etc.) a formal execution model. Instead of improvising a plan and retrying blindly, the agent writes a typed spec, the server tracks state, enforces postconditions, and returns structured failure context on retry. Every step produces an auditable trace record.

Where it sits. Stratum is the execution kernel, one layer below the thing most people run day to day. Compose drives the product lifecycle (design, blueprint, plan, review gates) and calls Stratum to execute each step. Reach for Stratum directly when you want the state machine and the postconditions without a lifecycle on top of them.

The founding intent behind this machinery is recorded in docs/VISION.md: a spec language that keeps LLMs on rails invisibly, so the same conversation yields stronger results than freeform execution.

One shipped component:

  • `ts/` — the TypeScript engine (@smartmemory/stratum): IR validation (version: 1 specs), flow execution with ensure postconditions, MCP server for Claude Code, query/gate/guard CLI, background flows and background agent runs. Published to npm as @smartmemory/stratum (bins: stratum, stratum-mcp) and listed in the MCP registry as ai.smartmemory/stratum-mcp.

Engine status (2026-07-18, STRAT-PY-RETIRE): the TS engine is the ONLY engine.

The Python library (stratum-py) and Python MCP server (stratum-mcp) are retired.

Their source is archived on the python-legacy branch, and PyPI packages are

frozen at their final releases. The engine executes `version: 1` specs exclusively.

Legacy v0.x specs are rejected by validate and classified (report-only) by

stratum migrate --check. The authoritative v1 shape is the Zod IR schema in

ts/src/ir/ plus stratum validate output.

Governed workflows as auditable flows — on any agent, not just one vendor. Unlike a single-vendor in-context orchestrator, Stratum runs as an MCP server and a library under Claude Code, Codex, or any MCP host; enforces typed contracts and ensure postconditions on every flow execution; stops at real human gates; dispatches Claude *and* Codex agents in one flow (so an independent reviewer can be a different model from the implementer); and persists flow state across sessions. Where you want raw in-context fan-out, reach for an in-host workflow runtime; where you want the run governed, portable, and auditable, that's a Stratum workflow.


Table of Contents

  • Installation
  • Quick Start
  • Core Concepts
  • YAML Spec Reference
  • MCP Tools API
  • Step Types
  • Ensures (Postconditions)
  • Contracts and Output Validation
  • Gates (Human-in-the-Loop)
  • Flow Composition
  • Routing
  • Iterations
  • Checkpoints
  • Recovery and Retry Logic
  • Workflows
  • Task Compiler
  • Skills
  • CLI Reference
  • Configuration
  • Python Library (Track 1)
  • Examples
  • Development
  • License

Installation

Install from npm (Node >= 22):

npm install -g @smartmemory/stratum    # provides `stratum` (CLI) and `stratum-mcp` (MCP server)

Or run from a checkout for development:

git clone https://github.com/smartmemory/stratum

cd stratum/ts && npm install # or pnpm install

Requires node >= 22 (erasable-syntax type stripping; node >= 24 needs no flags — the CLI bootstrap gates --experimental-transform-types automatically).

MCP Server (for Claude Code)

Register the server in your project's .mcp.json. From the npm package:

{

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

From a checkout:

{

"mcpServers": { "stratum": { "command": "node", "args": ["/absolute/path/to/stratum/ts/src/mcp/bin.mjs"] } } }

Restart Claude Code to activate. Optionally append the Stratum execution model block to your CLAUDE.md.

CLI
stratum help                    # validate | migrate | query | gate | guard | watch  (npm install)

node ts/src/cli/bin.mjs help # same, from a checkout

From a checkout, a thin wrapper script (e.g. ~/bin/stratum-ts) pointing at ts/src/cli/bin.mjs avoids a PATH collision with the installed stratum bin.


Quick Start

When Claude Code has Stratum installed, it uses it automatically for non-trivial tasks:

  1. Claude writes a .stratum.yaml spec internally (never shown to you)
  2. Calls stratum_plan to validate the spec and get the first step
  3. Executes each step using its own tools (reading files, writing code, running tests)
  4. Calls stratum_step_done after each step -- the server checks postconditions
  5. If a postcondition fails, Claude gets back the specific violation and retries
  6. Calls stratum_audit at the end for a full execution trace

You see plain English narration throughout. The spec, state management, and postcondition enforcement happen behind the scenes.


Core Concepts

Specification vs Flow

A specification is the authored, version-controlled .stratum.yaml document. It declares contracts and one or more flows. The flows.entry field selects the flow that starts a run.

A flow is an executable directed acyclic graph of steps. Running the entry flow creates a persisted run with a runId. The v0.x top-level workflow: registration block and stratum_list_workflows were retired with the Python server.

Flows

A flow declares typed input fields, a typed output, optional limits, and steps. References and after lists form data and ordering edges. Gate routing and on_fail add explicit routing edges.

Steps

A step has an id, optional after dependencies, an optional when condition, and exactly one construct: do, set, gate, fanout, or run.

Tasks

A do step is an agent-dispatched task. The task text is declared inline, and ${...} references inject flow input or prior step output values. The v0.x functions: registry and function: steps have no place in a v1 document.

Contracts

Contracts define named output shapes. A do or set step declares its output contract with out. A flow declares both the step-output reference that supplies its result and the contract used to validate that result.

Ensures

Ensures are structured postconditions on do, set, and fanout stage results. V1 supports expression, file existence, file content, and judged predicates.

Retries

A do or fanout step can set the positive integer attempts limit. The default is two attempts. Contract failures, ensure failures, task failures, and exhausted iterations use the same failure path. A deterministic set failure terminates the flow without retrying.

Gates

Gate steps pause execution for an external approve, revise, or kill decision. Approve and kill routes may name a later step or use null. A revise route may name a strict ancestor and requires a flow-level max_rounds limit.


YAML Spec Reference

The Zod IR schema in ts/src/ir/ and the errors produced by stratum validate are authoritative. The root is strict and has exactly three fields: version, contracts, and flows. Unknown fields are rejected.

Minimal Example
version: 1

contracts: SentimentResult: label: string confidence: number flows: entry: classify classify: input: text: string output: from: "${classify_text.output}" contract: SentimentResult steps:

  • id: classify_text do: "Classify the sentiment of ${input.text}" agent: claude out: SentimentResult ensure:
  • expr: "result.label != ''"
  • expr: "result.confidence > 0.7" attempts: 2
Full Example with a Gate
version: 1

contracts: WorkOutput: result: string quality_score: number flows: entry: reviewed_work reviewed_work: input: text: string output: from: "${work.output}" contract: WorkOutput max_rounds: 3 steps:

  • id: work do: "Produce the deliverable requested in ${input.text}" agent: codex out: WorkOutput ensure:
  • expr: "result.quality_score >= 0.8" attempts: 3
  • id: review after: [work] gate: on_approve: null on_revise: work on_kill: null max_rounds: 2
Full Field Reference
version (required)

The only accepted value is the number 1. Quoted strings such as "1" and all v0.x values are rejected.

contracts (required)

Each contract maps field names to type strings. Objects are strict at runtime, so undeclared output fields are rejected.

Type formMeaning
string, integer, number, booleanScalar value
object, arrayUntyped JSON object or array
string[], Result[]Typed array
`draftfinal`String enum
`(draftfinal)[]`Array of string enum values
ResultAnother named contract
string?, Result[]?Optional field

Named contract references use an initial capital letter. Recursive contract references and unknown contract names are rejected.

flows (required)

flows.entry must name a flow in the same mapping. Every flow has these fields:

FieldRequiredShape
inputyesField-to-type mapping using the contract type language
outputyes{from: "${step_id.output}", contract: ContractName}
stepsyesArray of strict step objects
budgetnoPositive limits for one or more of usd, tokens, dispatches, or ms
max_roundsnoPositive integer required when a gate can revise to an ancestor
carrynoNamed loop-carried flow values; entry flow only

The output.from value must be one full reference to a step output with a known contract. A fanout output is an array, so a flow output must select an item such as ${fan.output[0]}.

Steps

Step IDs start with a lowercase letter and may contain lowercase letters, digits, underscores, and hyphens. IDs are unique within a flow. Every step accepts id, optional after, and optional when, then exactly one construct with only the fields listed below.

ConstructPurposeAdditional fields
doDispatch an inline taskagent, out, ensure, attempts, iterate, budget, on_fail
setBuild an output object from expressionsrequired out, optional ensure
gatePause for a decisionno fields outside the nested gate object
fanoutRun stages over an arrayattempts, budget, on_fail
runInvoke a subflowrequired with, optional budget, on_fail

agent is either claude or codex. attempts is a positive integer. An iterate object requires positive integer max and string expression until.

The nested gate object requires nullable on_approve, on_revise, and on_kill fields. It may also set a positive integer max_rounds.

The nested fanout object requires over, one or more steps, positive integer concurrency, isolation of worktree or none, require of all, any, or a positive in

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