CONSENSUS MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Demoboard, List Demoboards, List Demolytics, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CONSENSUS 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 CONSENSUS app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 6 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 CONSENSUS "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in CONSENSUS?"
)
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 CONSENSUS MCP Server
Connect your Consensus account to any AI agent and take full control of your interactive video demo and buyer intelligence workflows through natural conversation.
Pydantic AI validates every CONSENSUS tool response against typed schemas, catching data inconsistencies at build time. Connect 6 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
- DemoBoard Orchestration — List and manage your active DemoBoards programmatically, retrieving detailed metadata about leads and stakeholder engagement
- Demolytics Intelligence — Access real-time analytics to understand which sections of your automated demos are being watched, skipped, or shared by prospects
- Invitation Tracking — Programmatically monitor sent demo invitations and track outreach performance to coordinate perfectly timed sales follow-ups
- Asset Discovery — Retrieve a complete directory of all available interactive demos and assets in your library to maintain high-fidelity sales enablement
- Team Visibility — Access directories of account users and roles to maintain an organized sales team structure and permission oversight
The CONSENSUS MCP Server exposes 6 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 6 CONSENSUS tools available for Pydantic AI
When Pydantic AI connects to CONSENSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning demo-automation, buyer-intent, interactive-video, 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.
Get DemoBoard details
List all DemoBoards
List analytics for demos
List all available demos
List sent demo invitations
List all account users
Connect CONSENSUS to Pydantic AI via MCP
Follow these steps to wire CONSENSUS 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 CONSENSUS MCP Server
Pydantic AI provides unique advantages when paired with CONSENSUS 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 CONSENSUS integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your CONSENSUS connection logic from agent behavior for testable, maintainable code
CONSENSUS + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the CONSENSUS MCP Server delivers measurable value.
Type-safe data pipelines: query CONSENSUS with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple CONSENSUS tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query CONSENSUS and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock CONSENSUS responses and write comprehensive agent tests
Example Prompts for CONSENSUS in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with CONSENSUS immediately.
"List all my active DemoBoards in Consensus."
"Show me the Demolytics summary for my latest demo."
"List all members of my sales team and their roles."
Troubleshooting CONSENSUS MCP Server with Pydantic AI
Common issues when connecting CONSENSUS to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCONSENSUS + Pydantic AI FAQ
Common questions about integrating CONSENSUS 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.