Freshsales MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
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 Freshsales integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Freshsales with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Freshsales tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Freshsales and output structured, schema-compliant notifications
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:
create_crm_lead
Create a new lead
get_account_details
Get account metadata
get_contact_metadata
Get contact details
get_deal_details
Get deal metadata
get_lead_details
Get lead metadata
list_appointments
List scheduled appointments
list_crm_contacts
List CRM contacts
list_crm_deals
List sales deals
list_crm_leads
List CRM leads
list_crm_tasks
List pending tasks
list_crm_users
List CRM users
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.
"List my 5 most recent active sales deals."
"Show me the contact details for 'Jane Smith'."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFreshsales + Pydantic AI FAQ
Common questions about integrating Freshsales 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.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Freshsales with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
