How to Use the Conduit MCP in LlamaIndex

Index your entire Conduit pipeline history into LlamaIndex for semantic data discovery.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Conduit MCP to LlamaIndex

Create your Vinkius account to connect Conduit to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Conduit with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn Conduit run logs into searchable LlamaIndex knowledge

Pipe `list_workflow_runs` results into your vector store to query past execution patterns. You can ask your agent about specific failure trends across hundreds of runs. It turns raw logs into a knowledge base. You stop digging through dashboards and start querying your history like a database.

Discover Conduit sources with LlamaIndex queries

Retrieve `list_available_sources` and `list_available_destinations` to index your platform capabilities. Your agent knows exactly what connectors are ready to use without you writing custom lookups. This builds a semantic map of your infrastructure. Your RAG application understands the platform's potential before it suggests a new integration.

Manage Conduit workflow state in LlamaIndex agents

Use `get_workflow` to pull detailed specs into your agent's context. The model uses this information to ground its responses in actual platform configurations. It prevents hallucinations by forcing the agent to reference the live source. You get answers based on your actual pipeline settings, not generic assumptions.

Setup guide

Set up Conduit MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Conduit MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Conduit tools.",
)
response = await agent.run("List recent Conduit data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Conduit. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Conduit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Conduit MCP in LlamaIndex

Use the MCP tool spec to fetch data and pass it into your index pipeline. The agent will then treat your pipeline metadata as searchable context.

You control the refresh cycle in your indexing logic. Trigger the tools whenever you need to update the knowledge base with the latest run history.

The server only exposes what you explicitly allow. Your sensitive pipeline configurations remain internal to the Vinkius sandbox.

The tool outputs are structured and predictable. This consistency helps the indexer parse your workflow metadata without errors.

They are stored as ephemeral vectors in your local session. We strip PII before any data leaves the secure Vinkius environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Conduit MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started