Harmonic MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Harmonic through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Harmonic "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Harmonic?"
)
print(result.data)
asyncio.run(main())
* 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 Harmonic MCP Server
Connect your Harmonic.ai account to any AI agent and take full control of your startup discovery and investment research through natural conversation.
Pydantic AI validates every Harmonic tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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
- Company Enrichment — Instantly retrieve firmographics, funding history, and social traction signals for any domain.
- Person Insights — Enrich professional profiles using LinkedIn URLs to get education and career history.
- Startup Discovery — Search through over 35 million companies using advanced filters like headcount growth and industry.
- Investor Research — Find investment firms and angels, and inspect their full portfolio history.
- Funding Monitoring — List and retrieve details for funding rounds, including amounts and lead investors.
- Enrichment Status — Track background data refresh requests to ensure you have the most up-to-date information.
The Harmonic MCP Server exposes 11 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 Harmonic to Pydantic AI via MCP
Follow these steps to integrate the Harmonic 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 11 tools from Harmonic with type-safe schemas
Why Use Pydantic AI with the Harmonic MCP Server
Pydantic AI provides unique advantages when paired with Harmonic 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 Harmonic integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Harmonic connection logic from agent behavior for testable, maintainable code
Harmonic + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Harmonic MCP Server delivers measurable value.
Type-safe data pipelines: query Harmonic with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Harmonic tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Harmonic and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Harmonic responses and write comprehensive agent tests
Harmonic MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect Harmonic to Pydantic AI via MCP:
enrich_company
Enrich a company with firmographics, funding, and social signals
enrich_person
Enrich a person with professional history and social signals
get_api_profile
Get information about the current API user
get_company_stats
Get growth and headcount statistics for a company
get_enrichment_status
Check the status of a background enrichment request
get_investor_portfolio
Get the list of portfolio companies for an investor
list_company_news
List recent news and press releases for a company
list_funding_rounds
List funding rounds for a specific company
list_traction_signals
List social and web traction signals for a company
search_investors
Search for investment firms and angels
search_startups
Search for startups using filters like industry, location, and headcount
Example Prompts for Harmonic in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Harmonic immediately.
"Enrich the domain 'openai.com' and show funding rounds."
"Search for startups in 'Artificial Intelligence' with 50-200 employees."
"Show me the portfolio companies for 'Sequoia Capital'."
Troubleshooting Harmonic MCP Server with Pydantic AI
Common issues when connecting Harmonic to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiHarmonic + Pydantic AI FAQ
Common questions about integrating Harmonic MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Harmonic with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Harmonic to Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
