PitchBox MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect PitchBox 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 PitchBox "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in PitchBox?"
)
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 PitchBox MCP Server
Connect your PitchBox account to any AI agent and take full control of your outreach and link-building workflows through natural conversation.
Pydantic AI validates every PitchBox 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
- Project & Campaign Oversight — List all projects and campaigns to maintain visibility over your outreach efforts.
- Opportunity Tracking — List and retrieve detailed metadata for outreach opportunities (leads) within your campaigns.
- Communication Monitoring — List emails sent and received for any specific opportunity to understand the status of your pitches.
- Contact Management — List all contacts associated with an opportunity to manage your relationships effectively.
- Task Visibility — List active tasks across your account to stay on top of your daily operational needs.
The PitchBox 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 PitchBox to Pydantic AI via MCP
Follow these steps to integrate the PitchBox 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 PitchBox with type-safe schemas
Why Use Pydantic AI with the PitchBox MCP Server
Pydantic AI provides unique advantages when paired with PitchBox 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 PitchBox integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your PitchBox connection logic from agent behavior for testable, maintainable code
PitchBox + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the PitchBox MCP Server delivers measurable value.
Type-safe data pipelines: query PitchBox with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple PitchBox tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query PitchBox and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock PitchBox responses and write comprehensive agent tests
PitchBox MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect PitchBox to Pydantic AI via MCP:
get_pitchbox_campaign
Get details for a specific campaign
get_pitchbox_me
Get current user profile info
get_pitchbox_opportunity
Get details for a specific opportunity
get_pitchbox_project
Get details for a specific project
list_pitchbox_campaigns
List campaigns in a project
list_pitchbox_contacts
List contacts for an opportunity
list_pitchbox_emails
List emails sent for an opportunity
list_pitchbox_opportunities
List outreach opportunities (leads) in a campaign
list_pitchbox_projects
List all PitchBox projects
list_pitchbox_tasks
List active tasks
Example Prompts for PitchBox in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with PitchBox immediately.
"List all active campaigns in my 'Guest Posting' project."
"Show me the status of the link-building opportunity for 'example.com'."
"What outreach tasks are assigned to me for today?"
Troubleshooting PitchBox MCP Server with Pydantic AI
Common issues when connecting PitchBox to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiPitchBox + Pydantic AI FAQ
Common questions about integrating PitchBox 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 PitchBox 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 PitchBox to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.