Vector Knowledge Graph MCP

Name: Vector Knowledge Graph MCP
Author: CSOAI-ORG

by CSOAI-ORGversion 1.0.10i★ –iRuns on your computer

Registry nameio.github.CSOAI-ORG/vector-knowledge-graph-mcp

Install

Overview

Description from the maker (original English)

AI-powered vector knowledge graph MCP server for agents. Supports add node, add edge, semantic node

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: Search & AI memory

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": {
    "vector-knowledge-graph": {
      "command": "uvx",
      "args": [
        "vector-knowledge-graph-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vector-knowledge-graph -- uvx vector-knowledge-graph-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vector-knowledge-graph": {
      "command": "uvx",
      "args": [
        "vector-knowledge-graph-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": {
    "vector-knowledge-graph": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "vector-knowledge-graph-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.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CSOAI-ORG, 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 Search & AI memoryi

More stars than 0% of the other 7256 servers in this category
Published to the registry more recently than 32% of the other 7256 servers in this category
Basic checks equal to or better than 100% of the other 7256 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 Vector Knowledge Graph 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 (1.0.10) 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

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.

Vector Knowledge Graph MCP

mcp-name: io.github.CSOAI-ORG/vector-knowledge-graph-mcp

Vector Knowledge Graph

By MEOK AI Labs — MEOK AI Labs MCP Server

MEOK AI Labs MCP Server

MEOK AI Labs MCP Server

🚀 Quick Start

# Install via pip

pip install vector_knowledge_graph_mcp

Or install via Smithery

npx -y @smithery/cli@latest install vector-knowledge-graph-mcp --client claude

✨ Features

MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

✅ Article 9 — Risk Management System
✅ Article 13 — Transparency & Instructions for Use
✅ Article 15 — Bias Detection & Testing
✅ Article 26 — FRIA Support (where applicable)
✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? [Book a free 15-min diagnostic →](https://cal.com/csoai/august-audit)

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

Pro: $99/mo — Full MCP suite + EU AI Act tracking
Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the [MEOK AI Labs](https://meok.ai) ecosystem — 300+ MCP servers for sovereign AI governance.

Domain	Purpose
councilof.ai	EU AI Act compliance marketplace
safetyof.ai	AI safety & monitoring
meok.ai	Sovereign AI platform
cobolbridge.ai	Legacy modernization

📜 License

Built with 💜 by MEOK AI Labs · UK Companies House 16939677

Website: meok.ai
GitHub: CSOAI-ORG/vector-knowledge-graph-mcp
PyPI: pypi.org/project/vector-knowledge-graph-mcp

License

MIT — MEOK AI Labs

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack

npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai

💸 Try MEOK in 30 seconds — instant buy ladder

Tier	Price	What you get	Stripe
Smoke test	£1	Signed sample MCP-Hardening report + Article 50 PDF	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Quick Kit	£9	EU AI Act Article 50 implementation guide (C2PA + EU-Icon)	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j
Founder Call	£29	30-min 1-on-1 with the founder	https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet.

Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

"mcpServers": { "vector-knowledge-graph-mcp": { "command": "uvx", "args": ["vector-knowledge-graph-mcp"] } } }

Or: pip install vector-knowledge-graph-mcp then run the vector-knowledge-graph-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

"Use add_node to …"
"Use add_edge to …"
"Use semantic_node_search to …"

Vector Knowledge Graph MCP

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 Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Vector Knowledge Graph MCP

Vector Knowledge Graph

🚀 Quick Start

Or install via Smithery

✨ Features

📖 Documentation

🛡️ Compliance

🏢 Enterprise

🤝 Part of the MEOK Ecosystem

📜 License

License

Pairs with MEOK Governance Suite

💸 Try MEOK in 30 seconds — instant buy ladder

Configuration

Examples