Enrich CRM MCP Server for Pydantic AIGive Pydantic AI instant access to 5 tools to Enrich Company, Enrich Person, Find Email, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Enrich CRM 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 Enrich CRM app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 5 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 Enrich CRM "
"(5 tools)."
),
)
result = await agent.run(
"What tools are available in Enrich CRM?"
)
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 Enrich CRM MCP Server
Connect your Enrich CRM account to any AI agent to streamline your B2B intelligence and sales automation workflows through natural conversation.
Pydantic AI validates every Enrich CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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
- Company Orchestration — Retrieve detailed firmographics, technical stacks, and financial data using only a company domain programmatically
- Person Enrichment — Access professional backgrounds, verified emails, and direct phone lines for your target prospects to maintain a high-fidelity database
- Email Discovery — Programmatically find and verify professional email addresses using name and domain combinations directly through your agent
- Phone Intelligence — Retrieve direct phone lines to bypass switchboards and reach decision-makers faster
- Account Visibility — Monitor your remaining credits and subscription status directly through your agent for instant operational reporting
The Enrich CRM MCP Server exposes 5 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 5 Enrich CRM tools available for Pydantic AI
When Pydantic AI connects to Enrich CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning enrich-crm, lead-enrichment, b2b-data, 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.
Enrich company data
Enrich person data
Find a professional email address
Find a professional phone number
Check account status
Connect Enrich CRM to Pydantic AI via MCP
Follow these steps to wire Enrich CRM 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 Enrich CRM MCP Server
Pydantic AI provides unique advantages when paired with Enrich CRM 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 Enrich CRM integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Enrich CRM connection logic from agent behavior for testable, maintainable code
Enrich CRM + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Enrich CRM MCP Server delivers measurable value.
Type-safe data pipelines: query Enrich CRM with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Enrich CRM tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Enrich CRM and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Enrich CRM responses and write comprehensive agent tests
Example Prompts for Enrich CRM in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Enrich CRM immediately.
"Enrich the company with domain 'google.com' using Enrich CRM."
"Find the professional email for 'Satya Nadella' at 'microsoft.com'."
"Check my remaining enrichment credits."
Troubleshooting Enrich CRM MCP Server with Pydantic AI
Common issues when connecting Enrich CRM to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEnrich CRM + Pydantic AI FAQ
Common questions about integrating Enrich CRM 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.