Veritasgraph

Name: Veritasgraph
Author: bibinprathap

by bibinprathapversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.bibinprathap/veritasgraph

Install

Overview

Description from the maker (original English)

Zero-trust, air-gapped Enterprise GraphRAG MCP server with offline, citation-grounded answers.

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).
You fill in yourself: VERITASGRAPH_MODEL, OLLAMA_HOST, STUDIO_DATA_DIR

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": {
    "veritasgraph": {
      "command": "uvx",
      "args": [
        "veritasgraph-mcp"
      ],
      "env": {
        "VERITASGRAPH_MODEL": "your-value",
        "OLLAMA_HOST": "your-value",
        "STUDIO_DATA_DIR": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add veritasgraph --env VERITASGRAPH_MODEL=your-value --env OLLAMA_HOST=your-value --env STUDIO_DATA_DIR=your-value -- uvx veritasgraph-mcp

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": {
    "veritasgraph": {
      "command": "uvx",
      "args": [
        "veritasgraph-mcp"
      ],
      "env": {
        "VERITASGRAPH_MODEL": "your-value",
        "OLLAMA_HOST": "your-value",
        "STUDIO_DATA_DIR": "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": {
    "veritasgraph": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "veritasgraph-mcp"
      ],
      "env": {
        "VERITASGRAPH_MODEL": "your-value",
        "OLLAMA_HOST": "your-value",
        "STUDIO_DATA_DIR": "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

VERITASGRAPH_MODEL env
Default local Ollama model for ingest/query (e.g. qwen3:latest).
OLLAMA_HOST env
Local Ollama endpoint.
STUDIO_DATA_DIR env
Directory where the knowledge-graph snapshot is persisted.

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 bibinprathap, 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 32744 servers in this category
Published to the registry more recently than 15% of the other 32744 servers in this category
Basic checks equal to or better than 100% of the other 32744 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 Veritasgraph 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 (0.1.2) 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: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

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

Runs in the cloud★ 211Updated 2 days ago

Install

Date Math

by JowenDelaPena

Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.

Runs in the cloudUpdated today

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.

VeritasGraph — The Governed, On-Prem GraphRAG & Agent Framework

Stop chunking blindly. Combine Tree-Search structure with Knowledge-Graph reasoning — and wire it into governed AI agents. Runs 100% locally or in the cloud.

🎯 Traditional RAG guesses based on similarity. VeritasGraph reasons based on structure.

Don't just find the document — understand the connection, then act on it with governed agents.

🌐 Live site · ⭐ Star · 🍴 Fork · 💬 Discuss · 🐛 Report a bug

python -m veritasgraph_mcp     # from repo root (needs local Ollama for ingest/query)

[▶️️ Watch the Full Talk & Live Demo on YouTube (27 mins)](https://www.youtube.com/watch?v=MDo1Mk8R5Wo)

Why Vector RAG Breaks on Deep Research

Attribution is a data model, not a prompt: Storing provenance at write time prevents hallucinated citations at read time.
Deterministic retrieval: Graph traversal is fully reproducible, separating factual evidence traces from stochastic LLM generation.
Explicit abstention: The agent identifies missing graph edges and returns "insufficient evidence" rather than guessing.

📚 Featured Guide — Build Governed AI Agents On-Prem

A complete walkthrough of designing, wiring, and shipping governed AI agents entirely on your own infrastructure.

**📄 Read the guide: *Build Governed AI Agents On-Prem* (PDF)**

▶️ [Watch the walkthrough on YouTube](https://youtu.be/sA7ReEgdJfg)

🚀 Quick Start (2 lines, no GPU)

pip install veritasgraph

veritasgraph demo --mode=lite

That's it — an interactive demo using cloud APIs (OpenAI/Anthropic), no local models required.

Mode	Best For	Requirements
`--mode=lite`	Quick demo, no GPU	OpenAI/Anthropic API key
`--mode=local`	Privacy, offline use	Ollama + 8GB RAM
`--mode=full`	Production, all features	Docker + Neo4j

export OPENAI_API_KEY="sk-..."        # Lite: cloud APIs, zero setup

veritasgraph demo --mode=lite

veritasgraph demo --mode=local --model=llama3.2 # 100% offline with Ollama veritasgraph start --mode=full # full GraphRAG pipeline

Useful links: ⚡ Live docs · 🎮 Live demo · 📖 Article · 📄 Research paper

🏥 Example Implementation — MedTrust Agent

[MedTrust Agent](MedTrust%20Agent/README.md) is a complete, reproducible example implementation of the VeritasGraph governed-agent architecture, applied to medical and pharmaceutical workflows — a zero-trust, observable LLM agent framework (NEECON 2026 paper).

Zero-trust control plane: least-privilege IAM with step-up authorization — no tool runs before authorization succeeds.
Governed answers: mandatory [doc#chunk] citations; uncited answers are withheld or routed to human review.
Tamper-evident audit: keyed, hash-chained audit log with published anchors.
Honest evaluation: security measured directly from the running code (100% unauthorized actions blocked, Wilson 95% CIs), answer quality clearly labelled *illustrative*; 69 tests, a versioned 40-scenario suite, and a one-command reproduce script.

python -m medtrust.demo    # end-to-end governed demo, 100% offline

📄 Read the full write-up: MedTrust Agent README

🧩 Built with VeritasGraph

A growing ecosystem of projects is building on VeritasGraph for enterprise GraphRAG, agent orchestration, fact-checking, and governed reasoning.

Community projects and integrations

MeAkash77 / VeritasGraph-Enterprise-GraphRAG-Verifiable-AI-Platform — enterprise GraphRAG adapter and verifiable AI platform patterns.
PTP063 / veritas-graph — derivative project and live deployment using VeritasGraph concepts.
RahulSagar2005 / multi-hop-rag — multi-hop retrieval and reasoning workflows.
lukehungngo / agentwall — agent security and governance-oriented reasoning flows.
gajanan229 / Fact-checker-Agent — evidence-focused fact-checking and explanation patterns.
Minh-Tam-Solution / EndiorBot — enterprise chatbot and AI agent integration built around graph-backed reasoning.
NistorDorinGabriel / Proiect_Licenta — academic thesis project extending VeritasGraph-inspired graph reasoning techniques.

If you are building with VeritasGraph and want to be featured here, open a PR or reach out with a short repo description and usage summary.

� Live Example — Floorplan-KG Takeoff Demo

A hosted, zero-setup example of VeritasGraph applied to construction drawings. Upload a floorplan PDF (or pick a bundled sample) and the engine extracts rooms, dimensions, openings, fixtures, and schedules — then builds a knowledge graph and quantity takeoff you can query, all with verifiable provenance back to the source sheet.

[🏗️ Try the Floorplan-KG demo](https://spaceai-llmpc.ngrok.app/floorplan) — *free, no login; runs the live PyMuPDF/pdfplumber extraction pipeline.*

What it shows: PDF → structured rooms/dimensions/schedules → knowledge graph → CSV/XLSX takeoff export, with a VeritasGraph assist panel for grounded Q&A over the extracted graph.
Why it matters: the same governed-attribution model that powers document RAG applies to geometry — every measured quantity traces back to a specific sheet and element rather than a guessed value.
Example output: a single-sheet residential plan returns ~17 rooms and ~2,400 sq ft in under 200 ms.

Studio is a local Agent Build Workspace (FastAPI + single-page UI) that lets you build a knowledge graph from your own documents and wire it into agents alongside tools, memory, data logging, guardrails, and headroom-style context budgeting — then chat with those agents live and watch every stage of the orchestration pipeline. Everything runs 100% locally against Ollama.

[🎮 Try the Studio Live](https://bibinprathap.github.io/VeritasGraph/studio/) — *stable URL that always redirects to the current running studio tunnel.*

Run it:

pip install -r requirements.txt

ollama serve & ollama pull qwen3:latest # any local chat model STUDIO_DATA_DIR="$PWD/studio_api/data" \ uvicorn studio_api.main:app --host 127.0.0.1 --port 8200 --log-level warning

Studio UI → http://localhost:8200/studio · API docs → /docs

One-command end-to-end demo (builds a graph + drives a fully-wired agent through graph reasoning, memory recall, PII redaction, and a guardrail block):

python3 demos/agent-studio/sample_pipeline.py --model qwen3:latest

What's inside — full Studio feature set

🧩 Knowledge Graph builder & explorer — ingest text, extract entities/relationships locally, inspect nodes/edges with grounded evidence.
🔎 Graph Q&A with citations — multi-hop answers backed by [doc#chunk] source attribution.
🤖 Agent workspace — create/edit agents with model selection, prompt/persona settings, and per-agent capability toggles.
🔀 Governed orchestration pipeline — per-turn flow of Guardrails → Memory → Knowledge Graph → Headroom budget → Tools → Data log, with full trace visibility.
🧰 Editable tools catalog — add, edit, enable/disable, test, and delete tools directly in Studio.
🌐 External real tool support — call real HTTP endpoints with configurable method, auth header, and custom headers.
🔌 MCP bridge integrations — local MCP proxy connectors (e.g. Chrome DevTools MCP, Unity MCP) with health-aware probing.
🛡️ Guardrails — PII redaction and policy-block controls with visible guardrail-block metrics.
🧠 Memory + Data logs — per-agent short-term memory and interaction-log persistence.
📈 Evaluation & fine-tune simulation — run eval suites, track pass-rate trends, and queue/monitor fine-tune jobs.
💬 Playground — run governed agent conversations live and inspect the pipeline trace.
📊 KPI dashboard — active agents, connected tools, eval pass rate, and guardrail-block counters.

See [`studio_api

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

Veritasgraph

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Date Math

README from the maker

VeritasGraph — The Governed, On-Prem GraphRAG & Agent Framework

Why Vector RAG Breaks on Deep Research

📚 Featured Guide — Build Governed AI Agents On-Prem

🚀 Quick Start (2 lines, no GPU)

🏥 Example Implementation — MedTrust Agent

🧩 Built with VeritasGraph

Community projects and integrations

� Live Example — Floorplan-KG Takeoff Demo

Studio UI → http://localhost:8200/studio · API docs → /docs