Is the integration read-only?

Yes. All tools (list_companies, list_contacts, list_opportunities, etc.) are read-only queries. They cannot modify, create, or delete any CRM records.

What is the TACTILE_SUBDOMAIN?

It's the unique prefix of your Tactile CRM URL (e.g., if your URL is `acme.tactilecrm.com`, the subdomain is `acme`). You can find it in the address bar when logged in.

What data can the agent access?

Companies, contacts, opportunities with pipeline stages, notes, and activities. The scope is determined by the permissions of the API key you provide.

Tactile CRM MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Tactile CRM
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Tactile CRM "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

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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 Tactile CRM MCP Server

Extend the reach of your Tactile CRM databases directly into your AI conversational flow utilizing this official Vinkius MCP connector. By granting your LLM localized parsing privileges, you enable it to operate as an intelligent sales assistant that can explore rich business metadata, track sales progression, and summarize unstructured internal notes strictly without relying on graphical CRM interfaces.

Pydantic AI validates every Tactile CRM tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Client & Corporate Lookups — Investigate CRM records retrieving specific macro structures invoking list_companies and pinpoint specific organizational data operating get_company_details.
Contact Identification — Sweep active employee registers querying list_contacts and securely extract direct lead data mapping them dynamically with get_contact_details.
Pipeline Discovery — Analyze sales cycle projections seamlessly using list_opportunities and drill into individual contract values utilizing get_opportunity_details.
Activity & Note Audits — Programmatically capture unstructured comments analyzing metadata tracks applying list_notes and log engagement events executing list_activities.

The Tactile CRM MCP Server exposes 9 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 Tactile CRM to Pydantic AI via MCP

Follow these steps to integrate the Tactile CRM 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 9 tools from Tactile CRM with type-safe schemas

Why Use Pydantic AI with the Tactile CRM MCP Server

Pydantic AI provides unique advantages when paired with Tactile CRM 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 Tactile CRM integration code

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

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

Tactile CRM + Pydantic AI Use Cases

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

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

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

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

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

Tactile CRM MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Tactile CRM to Pydantic AI via MCP:

get_company_details

Retrieves details for a specific company

get_contact_details

Retrieves details for a specific individual contact

get_opportunity_details

Retrieves details for a specific sales opportunity

list_activities

Lists recent CRM activities (tasks, calls, emails)

list_companies

Lists all companies (organizations) in the Tactile CRM

list_contacts

Lists all individual contacts (people) in the CRM

list_notes

Lists general CRM notes

list_opportunities

Lists all sales opportunities (deals) in the pipeline

list_pipelines

Lists available sales pipelines

Example Prompts for Tactile CRM in Pydantic AI

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

"Check the list of sales pipelines and extract the basic contact details for the latest three companies created in the CRM."

"List all open support tickets related to 'login issues'."

"Create a new contact constraint for 'John Doe' assigned to the 'Enterprise' tag."

Troubleshooting Tactile CRM MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tactile CRM + Pydantic AI FAQ

Common questions about integrating Tactile CRM MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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