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Freshsales MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Freshsales through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
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 Freshsales "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Freshsales?"
    )
    print(result.data)

asyncio.run(main())
Freshsales
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* 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 Freshsales MCP Server

Connect your Freshsales account to any AI agent to automate your sales CRM operations through the Model Context Protocol (MCP). Freshsales is a powerful sales CRM that provides a 360-degree view of your customers. This MCP server enables you to track active deals, manage lead data, and retrieve detailed contact profiles directly through natural conversation.

Pydantic AI validates every Freshsales tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.

Key Features

  • Lead & Contact Oversight — List all leads and contacts, fetch detailed profiles, and create new leads instantly to keep your pipeline full.
  • Deal Management — Access your sales opportunities, monitor deal stages, and retrieve detailed metadata to track revenue.
  • Account Discovery — List and search for company accounts to maintain full context of your B2B relationships.
  • Task & Appointment Tracking — Monitor scheduled meetings and pending sales tasks to ensure no follow-up is missed.
  • Sales Team Insights — List all CRM users and sales representatives to understand territory assignments and workloads.
  • Real-time Synchronization — Keep your sales data accessible to your AI assistant without leaving your primary workspace.

The Freshsales MCP Server exposes 12 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.

How to Connect Freshsales to Pydantic AI via MCP

Follow these steps to integrate the Freshsales MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Freshsales with type-safe schemas

Why Use Pydantic AI with the Freshsales MCP Server

Pydantic AI provides unique advantages when paired with Freshsales through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Freshsales integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Freshsales connection logic from agent behavior for testable, maintainable code

Freshsales + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Freshsales MCP Server delivers measurable value.

01

Type-safe data pipelines: query Freshsales with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Freshsales tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Freshsales and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Freshsales responses and write comprehensive agent tests

Freshsales MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Freshsales to Pydantic AI via MCP:

01

create_crm_lead

Create a new lead

02

get_account_details

Get account metadata

03

get_contact_metadata

Get contact details

04

get_deal_details

Get deal metadata

05

get_lead_details

Get lead metadata

06

list_appointments

List scheduled appointments

07

list_crm_contacts

List CRM contacts

08

list_crm_deals

List sales deals

09

list_crm_leads

List CRM leads

10

list_crm_tasks

List pending tasks

11

list_crm_users

List CRM users

12

list_sales_accounts

List CRM accounts

Example Prompts for Freshsales in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Freshsales immediately.

01

"List my 5 most recent active sales deals."

02

"Show me the contact details for 'Jane Smith'."

03

"Create a new lead for 'John Doe' (johndoe@email.com)."

Troubleshooting Freshsales MCP Server with Pydantic AI

Common issues when connecting Freshsales to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Freshsales + Pydantic AI FAQ

Common questions about integrating Freshsales MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Freshsales MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Freshsales to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.