Bring Lead Capture
to Pydantic AI
Learn how to connect Clientify to Pydantic AI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Clientify MCP Server?
Connect your Clientify CRM account to any AI agent and streamline your entire sales process through natural conversation.
What you can do
- Contact Management — List, create, and update contacts with deep inspection of custom fields and social metadata.
- Sales Pipelines — Track deals across different stages, update amounts, and assign opportunities to specific pipelines.
- Task Scheduling — Create and manage activities like calls, meetings, and follow-ups to never miss a lead.
- Team Visibility — List account users and collaborators to understand your organizational structure.
- Automated Insights — Fetch real-time summaries of your sales activities and deal progress.
How it works
1. Subscribe to this server
2. Enter your Clientify API Token (found in your account settings under API)
3. Start managing your sales machine from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales Reps — quickly update deal statuses and log call notes without manual CRM data entry.
- Marketing Managers — query contact segments and verify campaign leads directly from your workspace.
- Business Owners — get instant bird's-eye views of your sales pipelines and team activity levels.
Built-in capabilities (10)
Create a new activity or task
Create a new contact in Clientify
Create a new sales deal
Get details for a specific contact
List all tasks and activities
Supports filtering by email for precise lookups. List all contacts from Clientify
List all deals/opportunities
List all deal pipelines
List all account users
Update an existing contact
Why Pydantic AI?
Pydantic AI validates every Clientify 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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Clientify integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Clientify connection logic from agent behavior for testable, maintainable code
Clientify in Pydantic AI
Clientify and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Clientify to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Clientify in Pydantic AI
The Clientify 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Clientify for Pydantic AI
Every tool call from Pydantic AI to the Clientify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I search for a contact using only their email address?
Yes. Use the list_contacts tool and provide the email in the optional parameter. The agent will return the specific contact record associated with that email if it exists in your CRM.
How do I move a deal to a different stage in the pipeline?
You can update deal details using our action tools. Simply specify the Deal ID and the new Pipeline Stage ID to transition the opportunity instantly.
Does this integration support creating new tasks for follow-ups?
Absolutely. The create_activity tool allows you to schedule calls, meetings, or tasks, assign them to contacts, and set due dates directly from the AI agent.
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 Clientify MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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