Constraints Registry

io.github.SureshKhemkaPublished by GitHub account SureshKhemkav0.1.1Updated Oct 24, 2026

Policy-as-code guardrails for AI coding agents, validated via OPA, Conftest, Checkov & Semgrep.

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Overview

AI-generated overview

A local MCP server that serves engineering constraints to coding agents and validates candidate artifacts with OPA, Conftest, Checkov and Semgrep.

What you can do
Discover the valid selector vocabulary for scopes and constraint categories with describe_scope, and fetch the rules relevant to what is being built with get_constraints, which fails open so the agent is not blocked. Validate a candidate artifact against the bound enforcement engines (OPA and Conftest for Rego policies, Checkov for infrastructure-as-code, Semgrep for source code) with validate. Constraints are aggregated from source repositories into immutable, versioned bundles with namespacing and precedence rules, and can be re-imported on an interval without restarting the server.
When to use it
Use it when coding agents such as Claude Code, Cursor or Codex should consult organizational, infrastructure or architectural rules before generating code, and when you want generated artifacts checked against existing policy engines. It is guidance plus delegated validation, not an enforcement engine of its own.
Requirements
Runs locally over stdio (or an optional shared HTTP endpoint) as a PyPI package. Needs Python 3.11 or newer and uv; Semgrep is installed by uv sync. OPA is needed for Rego validation and fixture cross-checks; Conftest and Checkov are optional and their checks are skipped if absent. Constraint sources and engines are configured in a registry config file, optionally via the CREGISTRY_CONFIG variable.
Before you install
The server reads constraint sources from configured local paths and serves them to connected agents; keep those repositories and the config file under review. The validate tool runs external engine binaries on candidate artifacts, so only point it at content you are willing to process. Constraint changes are picked up by hot reload, so an edited source affects what agents are told without a restart.

Installation

In SourceWeft

  1. Open Constraints Registry in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Constraint Registry

[License: Apache 2.0] [Python] [CI] [PRs Welcome]

Policy-as-code guardrails for AI-generated code. An MCP server that serves engineering constraints to coding agents (Claude Code, Cursor, Codex) at generation time and validates artifacts with OPA, Conftest, Checkov, and Semgrep.

A single, queryable source of engineering constraints (infrastructure, organizational, architectural) that coding agents (Claude Code, Cursor, Codex, …) consult at code-generation time, exposed over an MCP server. It does not enforce constraints itself — it provides guidance to agents and delegates deterministic validation to existing enforcement engines (OPA, Conftest, Checkov, Semgrep).

Constraints are authored in source repos, aggregated into an immutable, versioned bundle, and served over MCP so an agent can:

  1. describe_scope — discover the valid selector vocabulary,
  2. get_constraints — fetch the rules relevant to what it's building, and
  3. validate — check a candidate artifact against the bound enforcement engines.

Authoritative requirements: constraint-registry-v0-spec.md. Requirement → component → test mapping: TRACEABILITY.md.


Contents


Features

  • Three constraint categories — infrastructure, organizational, architectural, including relationship-style selectors (e.g. "no synchronous calls across domain boundaries") and advisory (no-enforcement) constraints.
  • Multi-source aggregation — import from many source repos; ids are namespaced per source; deterministic, content-hashed, immutable versioned bundles.
  • Precedence & anti-drift — a configurable default policy (hard outranks weaker; a downstream source may not relax a higher-precedence rule on the same scope); fixture cross-checks keep guidance and enforcement from drifting.
  • Pluggable engines — a stable adapter interface with four real adapters: OPA and Conftest (Rego policies), Checkov (IaC scanning), and Semgrep (application source code). SARIF-emitting engines share one normalization seam (adapters/sarif/), so adding a new SARIF engine is mostly wiring. Adding an engine = one adapter + one config line (see Adding an enforcement engine).
  • Catalog importers — Checkov and Semgrep ship importers that turn an engine's rule catalog/ruleset into draft constraint stubs (with license/source provenance) for a human to enrich — a fast path to bootstrapping a source.
  • MCP server — three tools (describe_scope, get_constraints, validate) over stdio or a shared HTTP endpoint. get_constraints fails open so an agent is never blocked.
  • Hot reload — the server can periodically re-import so constraint changes are picked up without a restart.
  • Validation harness — proves the registry and constraint set are internally consistent; machine-readable JSON, non-zero exit on failure.

Prerequisites

ToolRequired?Notes
Python ≥ 3.11yesthe package targets 3.11+
uvyesmanages the venv and runs entry points
OPA (opa)for Rego validate / fixture cross-checksthe reference enforcement engine
Conftest (conftest)optionalsecond Rego engine; its checks SKIP if absent
Checkov (checkov)optionalIaC scanning engine; its checks SKIP if absent
Semgrep (semgrep)bundledsource-code engine; installed automatically by uv sync

Install the external engines on macOS:

bash
brew install opa conftest checkov   # semgrep is installed by `uv sync`

Each engine is optional and independent: any test or harness check whose engine binary is not on PATH is skipped, not failed. The registry and the get_constraints/describe_scope guidance work without any engine at all — an engine is only needed to run validate and the fixture cross-checks for constraints bound to it.


Quick start

bash
git clone https://github.com/SureshKhemka/constraints-registry.gitcd constraints-registry
uv sync                      # create the venv + install deps (incl. semgrep)
uv run cregistry-harness     # run the validation harness against the bundled samples

The harness emits machine-readable JSON and exits non-zero on any failure. A green run looks like:

json
{ "passed": true, "summary": { "pass": 21, "fail": 0, "skip": 0, "total": 21 }, "checks": [ ... ] }

(skip is used only when an optional engine like conftest is not installed.)


Running the MCP server

Two transports — pick based on how you want tools to connect.

bash
# stdio (default): each tool launches its own copy; nothing to manageuv run cregistry-mcp
# one shared HTTP server every tool connects to (recommended for multiple tools)uv run cregistry-mcp --http --port 8765 --reload-interval 60

Flags: --transport {stdio,http,sse}, --http (shorthand), --host (default 127.0.0.1), --port (default 8765), --config (or $CREGISTRY_CONFIG), --reload-interval SECONDS (0 = off).

Manage the shared HTTP server:

bash
lsof -ti tcp:8765 | xargs kill     # stop# restart = stop + start

Full operational guide (stop/restart, macOS launchd auto-start, the repo-sync/decoupling pattern): docs/RUNNING.md. Tool input/output contracts: docs/MCP_CONTRACT.md.


Integrating with coding agents

The server exposes three tools: describe_scope, get_constraints, validate.

Claude Code

bash
# shared HTTP server (start it first, see above), available in every project:claude mcp add --scope user --transport http constraint-registry http://127.0.0.1:8765/mcp
# OR stdio (no separate server to run; Claude launches it):claude mcp add constraint-registry -- uv run --directory "$(pwd)" cregistry-mcp
claude mcp list   # should show: constraint-registry ... ✔ Connected

Cursor (~/.cursor/mcp.json)

json
{ "mcpServers": { "constraint-registry": { "url": "http://127.0.0.1:8765/mcp" } } }

Codex / other stdio-only tools

Configure an MCP server with command: uv, args: ["run","--directory","/abs/path/to/repo","cregistry-mcp"].

Make the agent actually consult it

Agents auto-discover the tools, but to get them to consult the registry before generating code, add an instruction to your project (or ~/.claude/CLAUDE.md):

Before writing AWS/infra code, call the constraint-registry MCP: describe_scope to learn valid selector values, then get_constraints with the right scope, and comply with every hard constraint as a non-negotiable downstream gate. Optionally validate the result.


Authoring constraints

A source is a directory with constraints/*.yaml (one constraint per file) and, optionally, policies/ (engine policies) and fixtures/ (sample artifacts). Register sources and engines in registry.config.yaml:

yaml
sources:  - { name: platform-security, path: sources/platform-security, precedence: 100 }  - { name: data-platform,     path: sources/data-platform,     precedence: 50  }engines:  - { name: opa,      adapter: "cregistry.engine.adapters.opa:OpaAdapter" }  - { name: conftest, adapter: "cregistry.engine.adapters.conftest:ConftestAdapter" }  - { name: checkov,  adapter: "cregistry.engine.adapters.checkov:CheckovAdapter", options: { min_level: warning } }  - { name: semgrep,  adapter: "cregistry.engine.adapters.semgrep:SemgrepAdapter", options: { min_level: warning } }precedence_policy: default

A constraint (see sources/platform-security/constraints/aws-s3-no-public-access.yaml):

yaml
id: aws.s3.no-public-accesstitle: "S3 buckets must not be publicly accessible"intent: "Public buckets are the top source of data-exposure incidents."category: infrastructure          # infrastructure | organizational | architecturalscope:  providers: [aws]  resource_types: [aws_s3_bucket] # Terraform resource ids (NOT "s3_bucket")  environments: [all]  repos: ["tag:data-plane"]severity: hard                    # hard | soft | advisoryenforcement:                      # omit for an advisory (guidance-only) constraint  - { engine: opa, policy: policies/s3_public.rego }guidance:  do:   ["Attach an aws_s3_bucket_public_access_block with all four flags true"]  dont: ["Never set acl = 'public-read' or 'public-read-write'"]  example_compliant: |    {"resources": {"aws_s3_bucket": {"data": {"acl": "private", "public_access_block": true}}}}owner: platform-securityversion: 1.0.0fixtures:                         # optional; cross-checked against the engine  pass: fixtures/s3_private.json  fail: fixtures/s3_public.json

Scoping notes (matters when agents query):

  • resource_types use the target tooling's identifiers (Terraform: aws_s3_bucket). Call describe_scope to discover the exact vocabulary present.
  • A query that omits a dimension matches broadly; a value that contradicts a constraint's selector excludes it. Relationship-scoped constraints are only returned for queries that supply a matching relationship.
  • After authoring, run uv run cregistry-harness to validate schema, precedence, and fixtures.

Hot reload (no restart on constraint changes)

Run the server with --reload-interval N and it re-imports from disk every N seconds, publishing a new immutable bundle when content changes:

bash
uv run cregistry-mcp --http --port 8765 --reload-interval 60
  • No-op when nothing changed; previous bundle versions stay pinnable by id.
  • A failed re-import (e.g. an unresolvable precedence conflict) keeps the last-good bundle serving and logs the reason — the server never goes dark.
  • The server reads from the configured source paths, so wire your teams' constraint repos to sync/pull into those paths (a separate ops job, e.g. a cron git pull or CI publish). Code/dependency changes still need a restart.

Validation harness

uv run cregistry-harness runs end-to-end against the bundled, self-contained sample sources and proves: schema conformance, deterministic import, malformed- constraint isolation, namespacing & precedence, versioning & deprecation, engine- interface conformance (incl. a reusable suite any adapter can be run against), fixture cross-checks / broken-binding detection, the MCP contract / scoping / fail-open, and hot-reload behavior. It prints structured JSON and returns a non-zero exit on any failure — suitable for CI.

bash
uv run cregistry-harness            # human-readable JSON to stdout, exit 0/1uv run cregistry-harness --config path/to/registry.config.yaml

Adding an enforcement engine

Implement the EngineAdapter interface in a new module under src/cregistry/engine/adapters/, add one line under engines: in registry.config.yaml, and validate it against the existing conformance suite — no changes to the schema, importer, MCP server, or harness. Full walkthrough: docs/ADDING_AN_ENGINE.md.


Repository layout

src/cregistry/  model.py            constraint schema (Pydantic)  loader.py           load + per-field schema validation  config.py           registry config (sources, engines)  importer.py         import → aggregate → bundle  precedence.py       namespacing precedence / conflict resolution  scope.py            scope matching (query + conflict)  bundle.py store.py  immutable versioned bundles + store  query.py validate.py  scoped queries + artifact validation  integrity.py        fixture cross-check / anti-drift  service.py          transport-independent service (+ hot reload)  mcp_server.py       MCP server (stdio / http) + CLI  engine/             stable engine interface, registry, and adapters:    adapters/opa, adapters/conftest, adapters/checkov, adapters/semgrep    adapters/sarif    shared SARIF normalization seam (used by checkov + semgrep)  harness/            the validation harness (checks/*)sources/              bundled sample source repos (constraints, policies, fixtures)scenarios/            self-contained fixtures for harness edge casestests/                pytest suite: adapter conformance, fixtures, import, e2edocs/                 RUNNING.md, MCP_CONTRACT.md, ADDING_AN_ENGINE.mddeploy/               launchd template for auto-starting the HTTP serverCONTRACTS.md          the frozen engine-adapter seam new adapters code against

Run the adapter test suite directly with uv run pytest.


Contributing

Contributions are very welcome — bug reports, new engine adapters, constraint sources, and docs. Adding an engine is intentionally small: one adapter module plus one config line, with no changes to the schema, importer, MCP server, or harness.

Before opening a PR, make sure uv run pytest and uv run cregistry-harness are green; CI runs both on every pull request.


License

Licensed under the Apache License 2.0. See NOTICE for attribution and the licenses of the external engines this project integrates with.

Source: README.md at commit 20888cb

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.1LatestSep 16, 2026

Score

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  • Reached in the last 30 days25 pts

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  • Auth declared10 pts

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  • Tools listed15 pts

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