conduit-mcp
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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
Persistent memory, knowledge graph, task management and more for AI agents via MCP.
Hosted MCP server for live public-data APIs and Skills for AI agents.
Repository knowledge graph MCP server for codebase understanding and debugging.
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