conduit-mcp
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., "@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: ckg-mcp
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 installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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