Sentinel DV

Name: Sentinel DV
Author: kiranreddi

by kiranreddiversion 2.3.1i★ –iRuns on your computer

Registry nameio.github.kiranreddi/sentinel-dv

Install

Overview

Description from the maker (original English)

MCP tools for UVM/cocotb logs, coverage, regressions, and waveform triage.

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
UsageiVery new↓ 30/wk · ★ –

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: Developer tools

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).
You fill in yourself: SENTINEL_DV_CONFIG

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": {
    "sentinel-dv": {
      "command": "uvx",
      "args": [
        "sentinel-dv",
        "sentinel-dv-server"
      ],
      "env": {
        "SENTINEL_DV_CONFIG": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add sentinel-dv --env SENTINEL_DV_CONFIG=your-value -- uvx sentinel-dv sentinel-dv-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "sentinel-dv": {
      "command": "uvx",
      "args": [
        "sentinel-dv",
        "sentinel-dv-server"
      ],
      "env": {
        "SENTINEL_DV_CONFIG": "your-value"
      }
    }
  }
}

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": {
    "sentinel-dv": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sentinel-dv",
        "sentinel-dv-server"
      ],
      "env": {
        "SENTINEL_DV_CONFIG": "your-value"
      }
    }
  }
}

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.

Values you fill in

SENTINEL_DV_CONFIG env
Path to config.yaml (alternative to --config)

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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account kiranreddi, 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 Developer toolsi

More stars than 0% of the other 5584 servers in this category
Published to the registry more recently than 27% of the other 5584 servers in this category
Basic checks equal to or better than 100% of the other 5584 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 Sentinel DV 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 (2.3.1) 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 Python (uv) on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

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

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Computer or cloud

Install

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Cloudflare MCP

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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.

Sentinel DV

Sentinel DV v2.3.1 is a read-only Model Context Protocol server for design verification evidence. It indexes exported SystemVerilog, UVM, cocotb, assertion, coverage, regression, and waveform artifacts into DuckDB and exposes 28 bounded, schema-driven tools to AI agents.

Documentation | Quick start | Video walkthrough | All tools | Agent skills

What it provides

Run and test intelligence: discovery, summaries, history, topology, diffs, replay-command generation, and live-status snapshots.
Failure analysis: normalized categories, stable signatures, bounded evidence, assertion failures, and failure clustering.
Coverage closure: functional, code, toggle, and FSM metrics; trends; gaps; vacuity; SVA status; and protocol-aware constraint candidates.
Waveform context: precomputed *.wave.json and bounded VCD summaries. Native FSDB/WLF streaming is intentionally out of scope.
Agent workflows: regression triage, single-test failure debugging, and coverage closure skills for Codex, Claude Code, and GitHub Copilot.

Sentinel DV does not execute simulations, modify RTL or testbench files, or stream unrestricted raw artifacts. runs.submit and tests.replay return dry-run commands for engineer review.

Quick start

Python 3.10 or newer is required. This example indexes the checked-in demo corpus:

For a persistent environment, install sentinel-dv>=2.3.1. The commands below use uvx to run the same release without a persistent install.

git clone https://github.com/kiranreddi/sentinel-dv.git

cd sentinel-dv cp demo/config.example.yaml demo/config.yaml

uvx --from sentinel-dv@2.3.1 \ sentinel-dv-index --config "$PWD/demo/config.yaml" --index-all

Connect one agent:

Codex

codex mcp add sentinel-dv \

--env SENTINEL_DV_CONFIG="$PWD/demo/config.yaml" \ -- uvx --from sentinel-dv@2.3.1 sentinel-dv-server

Claude Code

claude mcp add \

--env SENTINEL_DV_CONFIG="$PWD/demo/config.yaml" \ --transport stdio --scope local sentinel-dv \ -- uvx --from sentinel-dv@2.3.1 sentinel-dv-server

GitHub Copilot CLI

copilot mcp add sentinel-dv \

--env SENTINEL_DV_CONFIG="$PWD/demo/config.yaml" \ -- uvx --from sentinel-dv@2.3.1 sentinel-dv-server

Use an absolute SENTINEL_DV_CONFIG path. Verify the connection in the client's MCP status view, then call runs.list.

See Agent setup for configuration-file examples, project scope, skill discovery, and troubleshooting.

Production configuration

Copy config.example.yaml and define allowed artifact roots:

artifact_roots:

/absolute/path/to/regression/artifacts

index: type: duckdb path: ./sentinel_dv.db

adapters: uvm: true cocotb: true assertions: true coverage: true waveform_summary: true

security: max_response_bytes: 2097152 max_page_size: 200 max_evidence_refs: 10

redaction: enabled: true redact_emails: true redact_paths: true

Build the index before starting the server:

sentinel-dv-index --config /absolute/path/to/config.yaml --index-all

sentinel-dv-server --config /absolute/path/to/config.yaml

Relative paths inside the YAML are resolved from the config file's directory. Production startup never silently falls back to demo data.

MCP tools

The 28 tools are grouped by engineering purpose:

Area	Tools
Runs	`runs.list`, `runs.get`, `runs.summary`, `runs.diff`, `runs.cross_sim`, `runs.submit`
Tests	`tests.list`, `tests.get`, `tests.history`, `tests.topology`, `tests.cluster`, `tests.replay`
Failures and assertions	`failures.list`, `assertions.list`, `assertions.get`, `assertions.failures`, `assertions.sva_status`, `assertions.vacuity`
Coverage	`coverage.list`, `coverage.summary`, `coverage.gaps`, `coverage.trend`, `coverage.advisor`
Regression and simulation	`regressions.summary`, `regression.health`, `sim.status`
Waveforms	`wave.signals`, `wave.summary`

Every registered tool carries read-only MCP annotations and a versioned output schema. The MCP tools reference documents exact inputs and outputs.

Agent skills

The canonical skills live under skills/:

sentinel-dv-regression-triage
sentinel-dv-failure-debugging
sentinel-dv-coverage-closure

Deterministic mirrors support project discovery:

Host	Path
Codex	`.agents/skills/`
Claude Code	`.claude/skills/`
GitHub Copilot	`.github/skills/`

The repository also contains Codex and Claude plugin manifests. .mcp.json defines the bundled stdio server command; provide SENTINEL_DV_CONFIG or a config.yaml in the server working directory.

After editing a canonical skill:

.venv/bin/python scripts/sync_agent_skills.py

.venv/bin/python scripts/sync_agent_skills.py --check

Supported artifact sources

UVM logs and topology hints
cocotb and generic JUnit XML
assertion definition and failure JSON
SVA run-status JSON
supported JSON, XML, text, and HTML coverage summaries
*.wave.json and VCD
live simulation status JSON
exported VCS, Xcelium, Questa, and Verilator results

Adapter output is normalized into versioned schemas so clients do not need vendor-specific parsing logic.

Security model

Tools are read-only and operate on an index plus configured artifact roots.
Path resolution is sandboxed to allowed roots.
Evidence counts, excerpts, pages, wave signals, bins, and total response size are bounded.
Configurable redaction protects common secrets, email addresses, IP addresses, and local paths.
Tool output is deterministic; the MCP server does not generate causal conclusions.

Read Security and Production deployment before using production artifacts.

Verification

Create a development environment:

python3 -m venv .venv

.venv/bin/pip install -e ".[dev,docs]"

Run endpoint and workflow checks:

.venv/bin/python scripts/verify_all_mcp_tools.py

.venv/bin/python scripts/verify_skill_workflows.py

Run the full quality suite:

.venv/bin/pytest

.venv/bin/ruff check . .venv/bin/black --check . .venv/bin/mypy sentinel_dv .venv/bin/mkdocs build --strict

The all-tools verifier invokes every registered MCP endpoint. The skill verifier indexes 52 checked-in demo artifacts and executes the published regression triage, failure debugging, and coverage closure sequences.

Project layout

sentinel_dv/

adapters/ artifact parsers indexing/ DuckDB indexing and queries normalization/ signatures, taxonomy, redaction, coverage guidance schemas/ versioned response contracts tools/core.py tool implementations server.py FastMCP registration and stdio entry point

skills/ canonical agent skills demo/ license-free exported verification fixtures docs/ MkDocs documentation scripts/ verification, gallery, release, and skill-sync tooling tests/ unit and integration coverage

Contributing

See CONTRIBUTING.md. Sentinel DV is licensed under Apache-2.0.

Sentinel DV

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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 Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Sentinel DV

What it provides

Quick start

Codex

Claude Code

GitHub Copilot CLI

Production configuration

MCP tools

Agent skills

Supported artifact sources

Security model

Verification

Project layout

Contributing