Compatible with every major AI agent and IDE
What is the MOBIDI MCP Server?
Connect your MOBIDI platform to any AI agent and manage business intelligence data.
What you can do
- Data Queries — Run custom queries and count matching records
- CRUD Operations — Create, read, update, and delete records of any entity type
- Reports — List, inspect, and execute BI reports
- Data Model — Explore available entity types
- System Services — View available platform services
Built-in capabilities (12)
Verify API connectivity
Create a record
Delete a record
Execute a report
Get record by ID
Count records
Get report details
List system services
List entity types
Query records
List reports
Update a record
Why Pydantic AI?
Pydantic AI validates every MOBIDI tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 MOBIDI 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 MOBIDI connection logic from agent behavior for testable, maintainable code
MOBIDI in Pydantic AI
MOBIDI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect MOBIDI 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 MOBIDI in Pydantic AI
The MOBIDI 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 12 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
MOBIDI for Pydantic AI
Every tool call from Pydantic AI to the MOBIDI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI run custom queries?
Yes. list_records accepts a query object to filter and retrieve specific records from the database.
Can I create and update data?
Yes. create_record, update_record, and delete_record provide full CRUD operations on any entity type.
Can I run BI reports?
Yes. execute_report runs any configured report and returns the results. Use list_reports to see what is available.
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 MOBIDI 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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