3,400+ MCP servers ready to use
Vinkius

Richards CRM MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Lead, Get Company Profile, Get Lead, and more

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Richards 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 Richards CRM app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Richards CRM "
            "(11 tools)."
        ),
    )

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

asyncio.run(main())
Richards CRM
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Richards CRM MCP Server

Connect your Richards Building Supply CRM account to any AI agent and take full control of your exterior contracting orchestration through natural conversation. Powered by the Construct CRM engine, this integration allows you to retrieve lead metadata, manage project lifecycles, and orchestrate material orders directly from your chat interface.

Pydantic AI validates every Richards CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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 & Prospect Orchestration — List all managed leads and retrieve detailed profile metadata, including creating new contacts programmatically to ensure your pipeline is always synchronized.
  • Project & Job Lifecycle Management — Access and monitor active projects and retrieve detailed technical metadata directly from the AI interface to keep your exterior jobs on track.
  • Estimating & Proposals Intelligence — Access project estimates and monitor proposal statuses to ensure your bidding process is always optimized via natural language.
  • Material Ordering & Invoice Control — List and retrieve order metadata and invoices to maintain a clear overview of your supply chain and business expenses.
  • Operational Monitoring — Track employee assignments and manage company profile metadata using simple AI commands.

The Richards CRM MCP Server exposes 11 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 11 Richards CRM tools available for Pydantic AI

When Pydantic AI connects to Richards CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, contractor-tools, material-ordering, 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_lead

Create a new lead

get_company_profile

Get company profile details

get_lead

Get details for a specific lead

get_project

Get details of a specific project

list_employees

List all employees

list_estimates

List all estimates

list_invoices

List all invoices

list_leads

List all leads

list_orders

List all purchase orders

list_projects

List all projects

list_proposals

List all proposals

Connect Richards CRM to Pydantic AI via MCP

Follow these steps to wire Richards CRM into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Richards CRM with type-safe schemas

Why Use Pydantic AI with the Richards CRM MCP Server

Pydantic AI provides unique advantages when paired with Richards CRM 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 Richards CRM 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 Richards CRM connection logic from agent behavior for testable, maintainable code

Richards CRM + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Richards CRM in Pydantic AI

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

01

"List all active leads in my Richards CRM."

02

"Show me all leads in the pipeline with their estimated values and conversion probabilities."

03

"Create a new lead for TechVentures Inc with a $75,000 estimated project value."

Troubleshooting Richards CRM MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Richards CRM + Pydantic AI FAQ

Common questions about integrating Richards CRM 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 Richards CRM MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.