Close MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Create Lead, Get Current User, Get Lead Details, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Close 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 Close app connector for Pydantic AI is a standout in the Communication Messaging category — giving your AI agent 6 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 Close "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Close?"
)
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 Close MCP Server
Connect your Close CRM account to any AI agent and take full control of your sales workflows through natural conversation.
Pydantic AI validates every Close tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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
- Lead Management — List all leads in your pipeline and retrieve full company profiles with contacts, custom fields, and activity history
- Lead Creation — Add new leads directly from conversation, including company name and website URL
- Opportunity Tracking — Monitor your active deals with stage, value, and expected close dates
- Task Management — Review pending and completed CRM tasks to stay on top of follow-ups
- User Context — Retrieve your authenticated user profile to understand your current permissions and role
The Close MCP Server exposes 6 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 6 Close tools available for Pydantic AI
When Pydantic AI connects to Close through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, pipeline-tracking, inside-sales, 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.
Create a new lead
Get information about the authenticated API user
Get details of a specific lead
List CRM tasks
List all leads in Close CRM
List sales opportunities
Connect Close to Pydantic AI via MCP
Follow these steps to wire Close 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 Close MCP Server
Pydantic AI provides unique advantages when paired with Close 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 Close integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Close connection logic from agent behavior for testable, maintainable code
Close + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Close MCP Server delivers measurable value.
Type-safe data pipelines: query Close with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Close tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Close and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Close responses and write comprehensive agent tests
Example Prompts for Close in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Close immediately.
"List all my leads in Close and highlight the ones added this week."
"Create a new lead for the company 'Nordic AI Labs' with their website nordicailabs.com."
"Show my active sales opportunities and any overdue tasks I need to handle."
Troubleshooting Close MCP Server with Pydantic AI
Common issues when connecting Close to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiClose + Pydantic AI FAQ
Common questions about integrating Close 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.