conduit-mcp
Click on "Deploy 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., "@conduit-mcpask how to deploy a data pipeline using Conduit"
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.
conduit-mcp
MCP server that gives AI agents access to the Conduit knowledge graph.
What It Does
Any AI agent that supports MCP (Claude Code, Pi, OpenCode, Cursor, etc.) can query your organization's knowledge graph through three tools:
Tool | Purpose |
| Ask a question, get a synthesized answer with sources |
| Retrieve raw knowledge units with graph relationships |
| Quick semantic search — titles and scores only |
| Check server connectivity |
Related MCP server: OpenCode LLM Wiki MCP Server
Setup
1. Install
pip install conduit-mcp2. Configure for Claude Code
Add to your ~/.claude/settings.json:
{
"mcpServers": {
"conduit": {
"command": "python",
"args": ["-m", "server"],
"cwd": "/path/to/conduit-mcp",
"env": {
"CONDUIT_ENDPOINT": "http://localhost:4000",
"CONDUIT_API_KEY": "your-api-key"
}
}
}
}3. Use
In Claude Code (or any MCP-capable agent):
> Ask Conduit how Snowflake Cortex Search works
[calls conduit_ask with query="How does Snowflake Cortex Search work?"]Environment Variables
Variable | Default | Description |
|
| Conduit server URL |
| (empty) | API key for authentication |
| (none) | Optional Kai ID to scope all queries |
Conversational Threads
The conduit_ask tool supports thread_id for follow-up questions:
First: conduit_ask("What is Delta Live Tables?", thread_id="abc-123")
Then: conduit_ask("Can I use it with Cortex?", thread_id="abc-123")
→ automatically rewritten to: "Can I use Delta Live Tables with Snowflake Cortex?"This server cannot be deployed
Maintenance
Related MCP Connectors
- UnifAPIOAuthcom.unifapi
Hosted MCP server for live public-data APIs and Skills for AI agents.
Repository knowledge graph MCP server for codebase understanding and debugging.
MCP server for progressive tool usage at any scale (see https://klavis.ai)
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server that exposes Open WebUI Knowledge Bases as tools and resources, enabling AI assistants to search and access knowledge bases.4MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with a persistent knowledge graph backend using MCP tools for reading, searching, and analyzing wiki pages with vector search and graph algorithms.4-
- AlicenseNot gradedqualityAmaintenanceA universal MCP server providing persistent, structured memory through a knowledge graph with graph storage, semantic vector search, and multi-hop traversal for AI agents and IDEs.1MIT
- AlicenseNot gradedqualityFmaintenanceAgent-first knowledge graph MCP server that provides 25 tools for managing a knowledge graph with nodes and edges, plus a human-readable dashboard for LLMs and AI agents.161 npmApache 2.0