About vector-knowledge-graph-mcp
vector-knowledge-graph-mcp is an MCP server presented for managing a vector knowledge graph. Its examples name tools for adding nodes and edges and searching nodes semantically.
Key features
- 01Add graph nodes
- 02Add graph edges
- 03Semantic node search
Use cases
- 01Add nodes to a graph
- 02Connect nodes with edges
- 03Search nodes by meaning
MCP support
Exposes graph operations to MCP clients, including `add_node`, `add_edge`, and `semantic_node_search`.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEVector 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 →
🏢 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 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
MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
- **Website**: [meok.ai](https://meok.ai) - **GitHub**: [CSOAI-ORG/vector-knowledge-graph-mcp](https://github.com/CSOAI-ORG/vector-knowledge-graph-mcp) - **PyPI**: [pypi.org/project/vector-knowledge-graph-mcp](https://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_nodeto …" - "Use
add_edgeto …" - "Use
semantic_node_searchto …"
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.