Bring Venture Capital
to Pydantic AI
Learn how to connect DecileHub to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the DecileHub MCP Server?
Connect your DecileHub account to any AI agent and take full control of your venture capital and private equity fund operations through natural conversation.
What you can do
- Fund Management — List all funds with AUM, strategy, and vintage year, and inspect individual fund details including commitments and portfolio allocation
- Performance Analytics — Retrieve IRR, TVPI, DPI, and benchmark comparisons for any fund
- Portfolio Companies — Browse all portfolio companies with valuations, fund allocations, and investment round history
- Valuation Tracking — Access historical valuation marks and unrealized value changes over time for each portfolio company
- LP Management — List limited partners with commitment amounts, distributions, and allocation profiles
- Regulatory Compliance — Browse and download regulatory filings and compliance reports
How it works
1. Subscribe to this server
2. Enter your DecileHub API Token from Settings > API
3. Start managing your fund operations from Claude, Cursor, or any MCP-compatible client
Who is this for?
- GP / Fund Managers — query fund performance metrics, review portfolio company valuations, and check LP commitments without switching to the dashboard
- Investor Relations — pull LP profiles, commitment summaries, and distribution histories for quarterly reporting
- Fund Administrators — access filings, compliance reports, and company-level allocation data through conversational AI
Built-in capabilities (12)
Verify connectivity
Get company details
Get filing report
Get fund details
Get fund performance
Get investor details
List companies by fund
List filings
List funds
List investors (LPs)
List portfolio companies
List company valuations
Why Pydantic AI?
Pydantic AI validates every DecileHub 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 DecileHub 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 DecileHub connection logic from agent behavior for testable, maintainable code
DecileHub in Pydantic AI
DecileHub and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect DecileHub 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 DecileHub in Pydantic AI
The DecileHub 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
DecileHub for Pydantic AI
Every tool call from Pydantic AI to the DecileHub MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the performance metrics (IRR, TVPI, DPI) of a specific fund?
Yes. The get_fund_performance tool takes a Fund ID and returns IRR (internal rate of return), TVPI (total value to paid-in), DPI (distributions to paid-in), and benchmark comparisons against industry quartiles. Combine it with get_fund for the full fund profile.
How do I track the valuation history of a portfolio company?
Use list_valuations with the Company ID. It returns all historical marks — entry valuation, subsequent round step-ups, quarterly fair market value assessments, and any write-downs. Each mark includes the date, valuation amount, and the methodology used.
Can I access regulatory filings and compliance reports through the AI agent?
Yes. The list_filings tool retrieves all regulatory filings across your funds. For any specific filing, use get_filing_report with the Filing ID to access its full content, including filing type, submission date, regulatory body, and attached documentation.
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 DecileHub MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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