CB Insights MCP Server for Pydantic AIGive Pydantic AI instant access to 13 tools to Chat Cbi, Check Cbi Status, Get Deal, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CB Insights through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The CB Insights app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to CB Insights "
"(13 tools)."
),
)
result = await agent.run(
"What tools are available in CB Insights?"
)
print(result.data)
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.
Pydantic AI validates every CB Insights tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire CB Insights into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the CB Insights MCP Server
Pydantic AI provides unique advantages when paired with CB Insights through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CB Insights integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CB Insights connection logic from agent behavior for testable, maintainable code
CB Insights + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CB Insights MCP Server delivers measurable value.
Type-safe data pipelines: query CB Insights with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CB Insights tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CB Insights and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CB Insights responses and write comprehensive agent tests
Example Prompts for CB Insights in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting CB Insights to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCB Insights + Pydantic AI FAQ
Common questions about integrating CB Insights MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.