Captain Data MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Captain Data as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Captain Data. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Captain Data?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Captain Data MCP Server
Connect your Captain Data account to any AI agent and orchestrate your lead generation, market research, and data enrichment workflows through natural conversation.
LlamaIndex agents combine Captain Data tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- People Discovery — Find specific professionals by name and company, or search by job titles and locations.
- Profile Enrichment — Retrieve detailed LinkedIn profile data, including contact information and career history, using UIDs or URLs.
- Company Research — Find companies by name or domain and retrieve deep firmographic data.
- Automation Oversight — List and monitor automation jobs and workflows directly from your workspace.
- Quota Management — Retrieve real-time API quotas and usage statistics to ensure your operations are on track.
- Data Retrieval — Access extracted data from previous jobs using natural language.
The Captain Data MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Captain Data to LlamaIndex via MCP
Follow these steps to integrate the Captain Data MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from Captain Data
Why Use LlamaIndex with the Captain Data MCP Server
LlamaIndex provides unique advantages when paired with Captain Data through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Captain Data tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Captain Data tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Captain Data, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Captain Data tools were called, what data was returned, and how it influenced the final answer
Captain Data + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Captain Data MCP Server delivers measurable value.
Hybrid search: combine Captain Data real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Captain Data to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Captain Data for fresh data
Analytical workflows: chain Captain Data queries with LlamaIndex's data connectors to build multi-source analytical reports
Captain Data MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Captain Data to LlamaIndex via MCP:
enrich_company
Get deep firmographic data for a company
enrich_person
Get detailed profile data for a person using their UID or LinkedIn URL
find_company
Find a company by name or domain
find_people
Find a specific person by full name and optionally company name
get_account_info
Retrieve core account information
get_api_quotas
Retrieve current API quotas and usage
get_job_details
Get status and extracted data for a specific job
list_automation_jobs
List all automation jobs
list_workflows
List all configured workflows
search_companies
Search for companies by industry, size, or location
search_people
Search for people based on criteria like job title or location
Example Prompts for Captain Data in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Captain Data immediately.
"Find people with the name 'Satya Nadella' at 'Microsoft'."
"Search for companies in the 'Software' industry located in 'California'."
"Enrich the company profile for the domain 'vinkius.com'."
Troubleshooting Captain Data MCP Server with LlamaIndex
Common issues when connecting Captain Data to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCaptain Data + LlamaIndex FAQ
Common questions about integrating Captain Data MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Captain Data with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Captain Data to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.