Bring Audience Segmentation
to Pydantic AI
Learn how to connect Fidelizador to Pydantic AI and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Fidelizador MCP Server?
Connect your Fidelizador account to any AI agent and take full control of your email marketing and automation workflows through natural conversation.
What you can do
- Audience Orchestration — List and manage your email contacts programmatically, including creating, updating, and deleting profiles directly from your agent
- Campaign Management — Monitor your active and past email campaigns and retrieve detailed performance statistics and metadata programmatically
- List Intelligence — Create and manage mailing lists (segmentations) to maintain a structured and high-fidelity organization of your audience
- Relational Integrity — Access complete contact directories and retrieve granular details like phone numbers and custom data points
- System Monitoring — Check campaign statuses and manage subscriber lifecycles directly through your agent for instant marketing reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from Fidelizador (Settings > Integrations)
3. Start managing your email marketing from Claude, Cursor, or any MCP client
No more manual subscriber management or complex campaign navigation in the dashboard. Your AI acts as your dedicated marketing and automation coordinator.
Who is this for?
- Digital Marketers — instantly retrieve campaign results and update subscriber lists using natural language queries
- CRM Managers — maintain database hygiene by programmatically updating or deleting contacts without leaving your workspace
- Sales Teams — create new leads and manage mailing segments through simple AI commands
Built-in capabilities (8)
Create a new contact
Create a new mailing list
Delete a contact
Get campaign details
List email campaigns
List contacts in Fidelizador
List mailing lists
Update an existing contact
Why Pydantic AI?
Pydantic AI validates every Fidelizador tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Fidelizador 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 Fidelizador connection logic from agent behavior for testable, maintainable code
Fidelizador in Pydantic AI
Fidelizador and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Fidelizador 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 Fidelizador in Pydantic AI
The Fidelizador 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 8 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
Fidelizador for Pydantic AI
Every tool call from Pydantic AI to the Fidelizador MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Fidelizador API Key?
Log in to your Fidelizador account, navigate to Settings > Integrations, and generate or copy your unique API Key.
Can I search for a contact by email?
The list_contacts tool retrieves your directory. You can ask your agent to find specific records by email within the returned data.
How do I create a new mailing list?
Use the create_mailing_list tool and provide a name for your new list. The agent will confirm the creation in your account.
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 Fidelizador MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai