Bring Demo Automation
to Pydantic AI
Learn how to connect CONSENSUS to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key and Secret from Consensus (Settings > Integrations > API Credentials)
3. Start managing your interactive sales pipeline from Claude, Cursor, or any MCP client
No more manual status checking of individual demo links. Your AI acts as your dedicated sales associate and demolytics coordinator.
Who is this for?
- Sales SDRs & AEs — instantly retrieve lead engagement summaries and monitor who is watching your demos using natural language commands
- Sales Operations — track overall demo performance and team usage metrics without leaving your communication tools
- Marketing Leads — monitor interactive asset popularity and buyer intent signals through simple AI queries
Built-in capabilities (6)
Get DemoBoard details
List all DemoBoards
List analytics for demos
List all available demos
List sent demo invitations
List all account users
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CONSENSUS integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your CONSENSUS connection logic from agent behavior for testable, maintainable code
CONSENSUS in Pydantic AI
CONSENSUS and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect CONSENSUS to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for CONSENSUS in Pydantic AI
The CONSENSUS 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
CONSENSUS for Pydantic AI
Every tool call from Pydantic AI to the CONSENSUS MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Consensus API Key and Secret?
Log in to your account, navigate to Settings > Integrations > API Credentials, and generate a new set of keys.
What are Demolytics?
Demolytics provide deep insights into buyer engagement, showing exactly which parts of your interactive demos were most valuable to a prospect.
Can I see all invitations sent via AI?
Yes! Use the list_invitations tool to retrieve a complete history of demo invites sent from your account programmatically.
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 CONSENSUS MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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