How to Use the Captain Data MCP in LlamaIndex

Q: How do I filter Captain Data results in LlamaIndex?

Use the allowedtools parameter during setup. It restricts the agent to only the functions you choose to expose.

Index live lead data into LlamaIndex so your RAG applications have fresh context from Captain Data.

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Connect Captain Data MCP to LlamaIndex

Create your Vinkius account to connect Captain Data 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.

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Setup Captain Data with LlamaIndex

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Index Captain Data into LlamaIndex

Run `enrich_person` and feed the results into your vector store. Your knowledge base updates with actual contact profiles as they arrive. This makes your RAG app smarter because it queries real API data instead of static text files.

Ground your answers with MCP Server data

Connect the server to your index to prevent hallucinations. Your agent pulls from live Captain Data results to answer specific user queries. It ensures your bot only talks about leads that exist in the system right now.

Search past automation jobs

Use `list_automation_jobs` to index your history. You can then query your agent about previous research tasks. This allows you to find information from old jobs without digging through the Captain Data dashboard.

Setup guide

Set up Captain Data 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 Captain Data 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 Captain Data tools.",
)
response = await agent.run("List recent Captain Data data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Captain Data. 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

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Real-time monitoring

Live

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

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place for every integration

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

Common questions about Captain Data MCP in LlamaIndex

It treats tool output as a document source. You convert the results into indexable nodes for semantic searching.

Yes, you map your tools to a function agent. It translates your question into the correct API call and fetches the relevant data.

It provides structured data that fits perfectly into vector stores. You get consistent results every time the agent runs a search.

Use the allowed_tools parameter during setup. It restricts the agent to only the functions you choose to expose.

We enforce strict token-based authentication for every request. The data is encrypted in transit and never stored on our side after the index update.

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

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