Captain Data MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Captain Data through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"captain-data": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Captain Data, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Captain Data through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Captain Data MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 11 tools from Captain Data via MCP
Why Use LangChain with the Captain Data MCP Server
LangChain provides unique advantages when paired with Captain Data through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Captain Data MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Captain Data queries for multi-turn workflows
Captain Data + LangChain Use Cases
Practical scenarios where LangChain combined with the Captain Data MCP Server delivers measurable value.
RAG with live data: combine Captain Data tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Captain Data, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Captain Data tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Captain Data tool call, measure latency, and optimize your agent's performance
Captain Data MCP Tools for LangChain (11)
These 11 tools become available when you connect Captain Data to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Captain Data to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCaptain Data + LangChain FAQ
Common questions about integrating Captain Data MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.