Freshsales MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Create Lead, Get Contact, Get Lead, and more
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 App Connector for Pydantic AI
The Freshsales app connector for Pydantic AI is a standout in the Sales Automation category — giving your AI agent 10 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 Freshsales "
"(10 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 (Freshworks CRM) account to any AI agent and take full control of your sales pipeline and customer relationship workflows through natural conversation.
Pydantic AI validates every Freshsales tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 Orchestration — List and manage new leads programmatically, including retrieving detailed metadata and performing search lookups
- Pipeline Intelligence — Monitor sales deals and their current pipeline stages to track revenue and deal velocity in real-time
- Relationship Management — Access complete profiles for contacts and sales accounts (companies) to maintain a high-fidelity customer database
- Task & Activity Tracking — Monitor pending tasks, appointments, and meetings directly through your agent to coordinate team efforts
- Note Retrieval — Access and retrieve contextual notes associated with any CRM record to provide your agent with the latest background info
The Freshsales MCP Server exposes 10 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 10 Freshsales tools available for Pydantic AI
When Pydantic AI connects to Freshsales through Vinkius, your AI agent gets direct access to every tool listed below — spanning pipeline-management, lead-scoring, crm, 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.
Requires last_name and optionally email. Create a new lead
Get details for a specific contact
Get details for a specific lead
List scheduled appointments
List all Freshsales contacts
List all sales deals
List all Freshsales leads
List CRM notes
List all sales accounts (companies)
List CRM tasks
Connect Freshsales to Pydantic AI via MCP
Follow these steps to wire Freshsales 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 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
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 all my new leads in Freshsales."
"Show me the last 5 sales deals and their stages."
"Get details for contact ID '12345'."
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.