How do I get a Dynamo Software API Key?

Log in to your Dynamo Software instance, navigate to **User Settings** or **API Management**, and you can generate or retrieve your unique API Key from there. You will also need your specific Instance URL.

Can the agent update fund valuations?

This integration currently focuses on listing and auditing investment data. Updating valuations or committed capital should be managed via the Dynamo Software web client or specific data import tools.

Does the integration support custom entities?

Yes, while the core tools focus on investors and funds, the underlying engine is built to query common Dynamo entities. Custom entity support may vary based on your API configuration.

Dynamo Software MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Dynamo Software
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Dynamo Software through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Dynamo Software "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Dynamo Software?"
    )
    print(result.data)

asyncio.run(main())

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* 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

About Dynamo Software MCP Server

Integrate Dynamo Software, the industry-leading platform for alternative investment management, directly into your AI workflow. Manage your investment funds and strategies, track investor profiles and commitment statuses, monitor portfolio valuations and activity logs, and oversee your entire investment lifecycle using natural language.

Pydantic AI validates every Dynamo Software 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.

What you can do

Fund Oversight — List and retrieve detailed information, strategies, and performance metrics for all your investment funds.
Investor Intelligence — Monitor registered investor profiles, unique identifiers, and current account statuses across your organization.
Portfolio Management — Track investment portfolios, including associated asset counts and real-time valuation updates.
Activity Auditing — Retrieve high-level summaries of recent activities, research notes, and engagement results instantly via chat.

The Dynamo Software MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Dynamo Software to Pydantic AI via MCP

Follow these steps to integrate the Dynamo Software MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Dynamo Software with type-safe schemas

Why Use Pydantic AI with the Dynamo Software MCP Server

Pydantic AI provides unique advantages when paired with Dynamo Software through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Dynamo Software integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Dynamo Software connection logic from agent behavior for testable, maintainable code

Dynamo Software + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Dynamo Software MCP Server delivers measurable value.

Type-safe data pipelines: query Dynamo Software with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Dynamo Software tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Dynamo Software and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Dynamo Software responses and write comprehensive agent tests

Dynamo Software MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Dynamo Software to Pydantic AI via MCP:

get_dynamo_account_metadata

Retrieve metadata and usage limits for your Dynamo Software account

get_fund_details

Get detailed settings and information for a specific investment fund

list_active_investors_only

Identify investors that are currently in an "Active" or "Funded" status

list_dynamo_investors

List all investors registered in your Dynamo Software account

list_dynamo_portfolios

List all investment portfolios configured in your account

list_high_valuation_funds

Identify funds with a valuation above a certain threshold (mock logic)

list_investment_funds

List all investment funds managed in Dynamo

list_latest_dynamo_activities

Identify the most recently recorded activities and notes across the platform

quick_portfolio_valuation_audit

Retrieve a high-level summary of portfolio valuations and activity

search_investment_funds

Search for funds using a name keyword or category

Example Prompts for Dynamo Software in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Dynamo Software immediately.

"List all active investors in our platform."

"Show me the top high-valuation investment funds."

"What are the most recent activities recorded in Dynamo?"

Troubleshooting Dynamo Software MCP Server with Pydantic AI

Common issues when connecting Dynamo Software to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Dynamo Software + Pydantic AI FAQ

Common questions about integrating Dynamo Software MCP Server with Pydantic AI.

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 Dynamo Software MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.