Bring Crm
to Pydantic AI
Learn how to connect Boostapp to Pydantic AI and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Boostapp MCP Server?
Connect your Boostapp account to any AI agent to streamline your sales and customer acquisition workflows. This integration allows your AI to act as a virtual sales assistant, capturing lead information and organizing it within your CRM through natural conversation.
What you can do
- Lead Creation — Instantly create new leads with full names and contact numbers directly in the Boostapp system.
- Pipeline Management — Automatically assign leads to specific pipeline stages and identify lead sources using system IDs.
- Detailed Profiling — Capture comprehensive lead data including email addresses, birth dates, gender, and custom remarks.
- Subscription Integration — Link new leads to specific items or subscriptions during the creation process.
How it works
- Subscribe to this server
- Enter your Boostapp API Key
- Start capturing and managing leads from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales Teams — quickly register leads from conversations or emails without manual data entry.
- Marketing Managers — automate the flow of leads from various sources into the CRM pipeline.
- Business Owners — maintain a clean and organized customer database using AI-driven automation.
Built-in capabilities (1)
Requires full name and phone number. Can optionally include pipeline stage and subscription details. Create a new lead in Boostapp
Why Pydantic AI?
Pydantic AI validates every Boostapp tool response against typed schemas, catching data inconsistencies at build time. Connect 1 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 Boostapp 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 Boostapp connection logic from agent behavior for testable, maintainable code
Boostapp in Pydantic AI
Boostapp and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Boostapp 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 | 4,000+ 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 Boostapp in Pydantic AI
The Boostapp 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 1 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
Boostapp for Pydantic AI
Every tool call from Pydantic AI to the Boostapp MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What information is mandatory to create a lead in Boostapp?
To create a lead using the create_lead tool, you must provide at least the fullName and a valid phone number. All other fields like email or pipeline stage are optional.
Can I assign a lead to a specific sales stage automatically?
Yes! When using create_lead, you can provide a stage ID (number) to place the lead directly into the correct part of your sales pipeline.
Is it possible to record the source of the lead?
Absolutely. Use the leadSource parameter in the create_lead tool to specify the system ID of the marketing or sales source.
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 Boostapp MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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