Reportei MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Add Reportei Event, Create Report, Get Client, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Reportei through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Reportei app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Reportei "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Reportei?"
)
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 Reportei MCP Server
Connect your Reportei account to any AI agent and take full control of your digital marketing orchestration and reporting workflows through natural conversation. Reportei provides a premier platform for consolidating metrics from social networks and ad platforms, and this integration allows you to retrieve project metadata, monitor report generation, and log important timeline events directly from your chat interface.
Pydantic AI validates every Reportei 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 & Client Orchestration — List all managed marketing projects and retrieve detailed client metadata programmatically.
- Report & Analysis Intelligence — Access and monitor generated reports and retrieve detailed performance metadata directly from the AI interface.
- Metric & Performance Tracking — Retrieve real-time data from connected channels like Instagram, Facebook, and Google Ads via natural language.
- Timeline & Event Control — Create and list project timeline events to maintain a comprehensive history of marketing actions and results.
- Operational Monitoring — Track system activity and manage project settings using simple AI commands to ensure your reporting is always optimized.
The Reportei 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.
All 10 Reportei tools available for Pydantic AI
When Pydantic AI connects to Reportei through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketing-analytics, performance-reporting, social-media-metrics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a timeline event
Generate a new analytics report
Get details for a specific client
Get details for a specific report
Get raw metrics data
List all clients
List all connected integrations
List all marketing projects
You can filter by project ID. List generated reports
List timeline events
Connect Reportei to Pydantic AI via MCP
Follow these steps to wire Reportei into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Reportei MCP Server
Pydantic AI provides unique advantages when paired with Reportei 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 Reportei integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Reportei connection logic from agent behavior for testable, maintainable code
Reportei + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Reportei MCP Server delivers measurable value.
Type-safe data pipelines: query Reportei with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Reportei tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Reportei and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Reportei responses and write comprehensive agent tests
Example Prompts for Reportei in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Reportei immediately.
"List all active marketing projects in my Reportei account."
"Generate a comprehensive marketing report for all social media channels from last month."
"Show me all projects and their connected integrations with data freshness status."
Troubleshooting Reportei MCP Server with Pydantic AI
Common issues when connecting Reportei to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiReportei + Pydantic AI FAQ
Common questions about integrating Reportei 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.