CB Insights MCP Server for LangChainGive LangChain instant access to 13 tools to Chat Cbi, Check Cbi Status, Get Deal, and more
LangChain is the leading Python framework for composable LLM applications. Connect CB Insights 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 App Connector for LangChain
The CB Insights app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 13 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"cb-insights": {
"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 CB Insights, 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 CB Insights MCP Server
Connect your CB Insights enterprise account to any AI agent and take full control of your market intelligence workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with CB Insights through native MCP adapters. Connect 13 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
- Organization Research — Search companies by name and retrieve full profiles including industry classification, employee count, and headquarters
- Funding Intelligence — Track the complete funding history of any organization, from Seed rounds to IPO, with amounts and lead investors
- Competitive Mapping — Identify direct competitors for any company based on market positioning and funding patterns
- Deal Tracking — Browse recent investment deals across the market or filter by specific organizations
- Investor Profiling — Explore investor profiles, fund strategies, and their full portfolio of backed companies
- AI-Powered Q&A — Ask natural language questions about markets, trends, and technologies and get data-backed answers
The CB Insights MCP Server exposes 13 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.
All 13 CB Insights tools available for LangChain
When LangChain connects to CB Insights through Vinkius, your AI agent gets direct access to every tool listed below — spanning market-intelligence, venture-capital, company-research, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
CB Insights AI chat
Verify connectivity
Get deal details
Get investor details
Get investor portfolio
Get competitors
Get organization funding
Get organization details
List recent deals
List deals by organization
List industries
List investors
Search organizations
Connect CB Insights to LangChain via MCP
Follow these steps to wire CB Insights into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the CB Insights MCP Server
LangChain provides unique advantages when paired with CB Insights through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CB Insights 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 CB Insights queries for multi-turn workflows
CB Insights + LangChain Use Cases
Practical scenarios where LangChain combined with the CB Insights MCP Server delivers measurable value.
RAG with live data: combine CB Insights tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CB Insights, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CB Insights tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CB Insights tool call, measure latency, and optimize your agent's performance
Example Prompts for CB Insights in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with CB Insights immediately.
"Search for the company OpenAI and show me its full funding history."
"Who are the top competitors of Anthropic in the AI space?"
"Show me the full portfolio of Sequoia Capital and highlight their AI investments."
Troubleshooting CB Insights MCP Server with LangChain
Common issues when connecting CB Insights to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCB Insights + LangChain FAQ
Common questions about integrating CB Insights 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.