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kb-gateway

HTTP MCP gateway for the learning corpus — Pinecone + Neo4j + agentic router — usable from anywhere.

Audience

Start here

Cole / collaborators

docs/COLE-SETUP.md

LLMs / agents

AGENTS.md

Humans

This README

Discovery

llms.txt

Gated project run dir

../09_Projects/kb-gateway/run/

What it does

Remote agents call MCP tools instead of holding Pinecone/Neo4j credentials:

Tool

Purpose

route_query

Default — auto-pick graph vs vector vs both

query_namespace

Semantic RAG (patterns, course-transcripts, langchain-docs)

graph_query

Neo4j coverage / disputes / topic depth

list_namespaces

Corpus inventory

health

Dependency check

Related MCP server: Neo4j GraphRAG MCP Server

Quick start (server)

source /mnt/blockstorage/env/load.sh global
export KB_GATEWAY_API_TOKEN="<operator-issued>"
export KB_GATEWAY_PUBLIC_URL="https://kb-gateway.your-tailnet.example"

/root/.venv-langchain-course/bin/python -m kb_gateway --transport streamable-http
# MCP endpoint: http://127.0.0.1:8790/mcp

Local stdio (Cursor on server):

/root/.venv-langchain-course/bin/python -m kb_gateway --transport stdio --no-auth

Client setup

See docs/client-setup.md for Cursor, Claude Desktop, and remote agent config.

Architecture

ARCHITECTURE.md · RUNBOOK.md

  • okrealai/langchain-course — runtime deps (router, RAG, ingest)

  • Gated routine: /root/.claude/references/gated-execution-routine.md

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license - not found
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quality - not tested
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maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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