NVIDIA AI CKG MCP Server
NVIDIA AI knowledge graphs - 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.
People connecting memory tools to Claude, Cursor, VS Code, or another MCP client.
REPOSITORY REMOVED
LAST COMMIT unknown · VERIFIED 2026-08-25
how we verify → /methodology
01 · Install NVIDIA AI CKG
Claude Code
claude mcp add yarmoluk-ckg-nvidia-ai --transport http https://ckg-nvidia-ai.onrender.com/mcp Claude Desktop / Cursor / VS Code - add to config
{
"mcpServers": {
"yarmoluk-ckg-nvidia-ai": {
"url": "https://ckg-nvidia-ai.onrender.com/mcp"
}
}
} Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.
Using another client? Same JSON, different key
Claude Desktop · mcpServers
Cursor · mcpServers
VS Code · servers
Windsurf · mcpServers
Zed · context_servers
Cline · mcpServers
Roo Code · mcpServers
Continue · mcpServers
LibreChat · mcpServers
Gemini CLI · mcpServers
Codex CLI · mcp_servers
Full setup guides: every client.
02 · Evidence
https://ckg-nvidia-ai.onrender.com/mcp
transport: streamable-http
endpoint alive - responded to MCP initialize · probed 2026-08-25
Security posture
What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.
runs as local process (stdio) - runs on your machine with your user's permissions · remote - your agent's requests go to ckg-nvidia-ai.onrender.com
endpoint auth accepted our unauthenticated MCP initialize - no credentials needed to connect
license no standard license detected - usage rights unclear; check the repo before commercial use
pypi package ckg-nvidia-ai - check the name against the project README before installing (PyPI has no namespace ownership)
registry namespace io.github.Yarmoluk is GitHub-verified and matches the repo owner
03 · Who maintains NVIDIA AI CKG
NVIDIA AI CKG is maintained by yarmoluk. We track 5 MCP servers from yarmoluk - 0 actively maintained, 0 combined GitHub stars.
04 · Facts
- repository
- github.com/yarmoluk/ckg-nvidia-ai
- category
- memory - vanished as of 2026-08-25.
- registry
- io.github.Yarmoluk/ckg-nvidia-ai (active, first published 2026-07-07 · 5 versions)
- packages
- pypi:ckg-nvidia-ai
05 · NVIDIA AI CKG FAQ
What is NVIDIA AI CKG?
NVIDIA AI knowledge graphs - 20 domains. 4x F1, 11x fewer tokens, SHA-256 provenance. MCP-native.
Is NVIDIA AI CKG still maintained?
Its last commit was unknown (as of 2026-08-25) - we classify it as vanished.
How do I install NVIDIA AI CKG?
Run `uvx ckg-nvidia-ai`. You can also paste the ready-made client config above.
Does NVIDIA AI CKG require authentication?
No - the endpoint accepted our unauthenticated MCP initialize when probed on 2026-08-25; you can connect without credentials.
06 · Alternatives to NVIDIA AI CKG
Alternatives to NVIDIA AI CKG
Maintained memory servers if NVIDIA AI CKG isn't the fit.
- Codebase Memory Codebase knowledge graph for AI agents - 159 languages, sub-ms queries, 99% fewer tokens. ★ 40,198 · 2026-08-23
- Tradememory Protocol MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance. ★ 1,412 · 2026-08-11
- Superlog Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents. ★ 1,394 · 2026-08-23
- Persome Local-first personal memory and model server for trusted MCP agents on macOS. ★ 1,314 · 2026-08-21
- Neo4j Memory MCP Neo4j Knowledge Graph Memory Server ★ 979 · 2026-04-10
- Projectmem Local-first memory + judgment layer for AI coding agents - warns before repeating failed fixes. ★ 750 · 2026-08-06
Pairs well with
Servers that cover what NVIDIA AI CKG doesn't - only shown when the pairing reason fits the companion.