Sdcgovernance

Name: Sdcgovernance
Author: SemanticDataCharter

by SemanticDataCharterversion 4.3.1i★ –iRuns on your computer

Registry nameio.github.SemanticDataCharter/sdcgovernance

Install

Overview

Description from the maker (original English)

Governance validation for Semantic Data Charter instances; returns OASIS XACML decisions.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "sdcgovernance": {
      "command": "uvx",
      "args": [
        "sdcgovernance",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add sdcgovernance -- uvx sdcgovernance mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sdcgovernance": {
      "command": "uvx",
      "args": [
        "sdcgovernance",
        "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": {
    "sdcgovernance": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sdcgovernance",
        "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.

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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 SemanticDataCharter, 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 32727 servers in this category
Published to the registry more recently than 74% of the other 32727 servers in this category
Basic checks equal to or better than 100% of the other 32727 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 Sdcgovernance 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 (4.3.1) reached the registry 13 days 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: Spec Driven Development, Remote Desktop Commander, Foliosio

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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.

sdcgovernance

W3C standards-based governance advisory engine for Semantic Data Charter instances.

A Python library that validates governance content in XML data instances against governance components defined in the SDC data model. If the model defines governance (workflow, attestation, party/role, provenance, audit), the instance must carry that content - and this library validates it.

Returns decisions using OASIS XACML semantics: PERMIT, DENY, or INDETERMINATE.

No framework dependency. No middleware. A function call.

How It Works

SDC data models (XSD) can optionally include governance components: Workflow state machines, Attestation authority requirements, Party/Role constraints, Provenance requirements, and Audit definitions. These are part of the data model, not a separate governance layer.

When governance components are defined, every XML data instance must carry the corresponding governance content. This library validates that content against the model:

from sdcgovernance import validate_governance

result = validate_governance("model.xsd", "instance.xml")

print(result.decision) # PERMIT, DENY, or INDETERMINATE print(result.has_governance) # True if model defines governance components print(result.errors) # list of governance validation errors print(result.receipt) # tamper-evident decision receipt

If the model does not define governance components, the result is PERMIT - no governance to enforce.

Two Independent Libraries

sdcvalidator and sdcgovernance are separate, independent libraries. There is no hook, no chaining, no automatic invocation of one from the other.

sdcvalidator (structural validation)

Does the instance conform to the XSD schema? Single-pass. Instance in, pass/fail out.

sdcgovernance (governance advisory) Does the model define governance components? If yes: does the instance carry valid governance content? Conversational. Agents query multiple times during a workflow.

Both libraries read the schema from the instance. Agents call each one independently, at different points in a workflow, in whatever order the operational logic requires. A single workflow may involve multiple calls to both libraries.

What Gets Validated

Component	What the model defines	What the instance must carry
Workflow	Cluster tree of valid paths (sub-clusters with XdOrdinal states)	Current XdOrdinal state, proposed transition validated against ordinal adjacency in valid paths
Attestation	Authority requirements per action	Attestation with correct role, party reference, timestamp
Party/Role	Role constraints for governed actions	Acting party identification with required role
Provenance/Audit	Provenance requirements (PROV-O) + retention policy (DPV)	PROV-formatted record(s) per retention policy: most recent + hash, last N, or full chain

Governance components are discovered by their position in the DMType root (fixed RM slots: workflow, attestation, party/role, audit, and related), not by CUID2 identity. Once a slot is found, its content is validated by vocabulary binding against the relevant standard (PROV-O, SCXML, VC, DPV). Any component occupying the right slot and bound to the right vocabulary is recognized - whether it comes from the Default project or was custom-built.

Enforcement Decisions (OASIS XACML)

Decision	Meaning
PERMIT	All governance checks pass - action is authorized
DENY	One or more governance checks fail - action is refused
INDETERMINATE	Governance checks partially pass - requires review (configurable)

Every decision produces a W3C PROV record and a SHA-256 hash-chained receipt.

What happens after the decision is the agent's responsibility. sdcgovernance issues the decision and the receipt. The operational response - routing, escalation, notification, halting - is customer business logic that varies per implementation.

Two Interfaces, One Engine

Python API - for direct integration:

from sdcgovernance import validate_governance

result = validate_governance("model.xsd", "instance.xml")

MCP Server - for any agent framework:

sdcgovernance            # what an MCP registry client runs (uvx sdcgovernance)

sdcgovernance mcp # the same, spelled like the other Semantic Data Charter servers sdcgovernance serve --mcp # still works for existing client configurations

A client configuration needs only "command": "uvx", "args": ["sdcgovernance"].

The MCP server exposes governance as tools that agents call. The agent runs the loop. sdcgovernance advises.

Standards

OASIS XACML - decision semantics (PERMIT/DENY/INDETERMINATE)
SDC native structure + W3C SCXML concepts - workflow sequencing via XdOrdinal components in sub-cluster paths, borrowing the concepts of state and transition from automata theory as specified in W3C SCXML
W3C PROV (PROV-O, PROV-DM) - provenance/audit records (one governance dimension)
W3C Data Privacy Vocabulary (DPV) - provenance retention policy (same vocabulary used for SDC access control)
W3C Activity Streams 2.0 - activity/event type vocabulary
W3C Verifiable Credentials Data Model 2.0 - attestation authority pattern
W3C SHACL - cross-entity constraint validation
OMG DMN - decision tables for complex governance rules
SHA-256 - tamper-evident hash chains for decision receipts

Architecture

src/sdcgovernance/

├── init.py # Public API: validate_governance() ├── engine.py # GovernanceEngine - the decision engine agents query ├── model_inspector.py # Inspect SDC model for governance components ├── workflow.py # Validate workflow transitions in instance ├── attestation.py # Validate attestation content in instance ├── party_role.py # Validate party/role constraints in instance ├── provenance.py # Validate provenance/audit records + PROV generation + DPV retention policy ├── decision.py # DMN decision table evaluation + content hash ├── tables.py # Decision table registry: id, version, hash; files on disk ├── receipts.py # Decision receipt chain (hash-chained) ├── shacl_runtime.py # SHACL cross-entity constraint validation └── mcp_server.py # MCP server exposing governance tools to any agent

Pure Python. No Django. No middleware. No web framework dependency.

Installation

pip install sdcgovernance

Integration with SDC Ecosystem

sdcvalidator - independent structural validation library. Agents call it separately from sdcgovernance, at different points in a workflow.
SDCStudio - models governance components visually. The XSD output includes governance definitions that sdcgovernance validates against.
AppGen - generated applications can call validate_governance() at data entry boundaries.
SDC Agents - reference implementations showing how to wire governance MCP tools into agentic workflows using Default project governance models. Customer agents connect to the same MCP server and use the tools however they want.

Status

Production-ready. Available on PyPI under Apache 2.0.

Dependencies

rdflib - RDF/PROV record generation
pyshacl - SHACL constraint validation

License

Apache 2.0

Sdcgovernance

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Foliosio

README from the maker

sdcgovernance

How It Works

Two Independent Libraries

What Gets Validated

Enforcement Decisions (OASIS XACML)

Two Interfaces, One Engine

Standards

Architecture

Installation

Integration with SDC Ecosystem

Status

Dependencies

License