kb-gateway
Allows querying a Neo4j graph database for coverage, disputes, topic depth, etc.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@kb-gatewaysearch the corpus for LangChain agent tutorials"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
kb-gateway
HTTP MCP gateway for the learning corpus — Pinecone + Neo4j + agentic router.
Cole — start here (KeyFlo org)
MCP endpoint: https://kb-mcp.waytie.com/mcp
git clone git@github.com:KeyFlo-ai/kb-gateway.git
cd kb-gateway
gh auth login
./scripts/setup-mcp.sh # pulls KB_GATEWAY_MCP_* from GitHub variables
# paste config/mcp.json → Cursor Settings → MCP→ Full guide: docs/COLE-SETUP.md · GitHub variable COLE_SETUP points here.
HTTP API (no MCP): KeyFlo-ai/knowledge-base · https://kb-api.keyflo.ai
Audience | Start here |
Cole / KeyFlo collaborators | |
External collaborators | |
LLMs / agents | |
Discovery |
Production: https://kb-mcp.waytie.com/mcp
Related MCP server: cosmos
What it does
Remote agents call MCP tools instead of holding Pinecone/Neo4j credentials:
Tool | Purpose |
| Default — auto-pick graph vs vector vs both |
| Semantic RAG ( |
| Neo4j coverage / disputes / topic depth |
| Corpus inventory |
| Dependency check |
Quick start (server operator)
source /mnt/blockstorage/env/load.sh kb-gateway
/root/.venv-langchain-course/bin/python -m kb_gateway --transport streamable-http
# binds 127.0.0.1:8790 — public via kb-mcp.waytie.com nginxArchitecture
ARCHITECTURE.md · RUNBOOK.md · docs/client-setup.md
Related
KeyFlo-ai/knowledge-base— parallel HTTP APIokrealai/langchain-course— router runtime deps
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