Jiminny MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Jiminny Status, Get Action Items, Get Activity, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Jiminny 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 Jiminny app connector for Pydantic AI is a standout in the Artificial Intelligence 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 Jiminny "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Jiminny?"
)
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 Jiminny MCP Server
Connect your Jiminny account to any AI agent and take full control of your sales conversation intelligence and automated coaching workflows through natural conversation.
Pydantic AI validates every Jiminny 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
- Call Portfolio Orchestration — List and manage your entire database of call recordings and transcripts programmatically, retrieving detailed speaker metadata
- Meeting Intelligence Architecture — Programmatically query and monitor meeting insights and key moments to maintain a perfectly coordinated sales audit trail
- Rep Performance Monitoring — Access real-time activity metrics for your sales team and track improvement trends directly through your agent for instant reporting
- Metadata Management — Programmatically retrieve talk-to-listen ratios and filler word counts to maintain a perfectly coordinated coaching record
- Operational Monitoring — Verify account-level API connectivity and monitor call ingestion volume directly through your agent for perfectly coordinated service scaling
The Jiminny 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 Jiminny tools available for Pydantic AI
When Pydantic AI connects to Jiminny through Vinkius, your AI agent gets direct access to every tool listed below — spanning conversation-intelligence, sales-coaching, call-recording, 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.
Verify Jiminny API connectivity
Get action items from a call
Get activity details
Get aggregate call analytics
Get coaching stats for a user
Get call transcript
Get user details
List all calls and meetings
List all teams
List all team members
Connect Jiminny to Pydantic AI via MCP
Follow these steps to wire Jiminny 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 Jiminny MCP Server
Pydantic AI provides unique advantages when paired with Jiminny 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 Jiminny integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Jiminny connection logic from agent behavior for testable, maintainable code
Jiminny + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Jiminny MCP Server delivers measurable value.
Type-safe data pipelines: query Jiminny with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Jiminny tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Jiminny and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Jiminny responses and write comprehensive agent tests
Example Prompts for Jiminny in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Jiminny immediately.
"List all calls recorded today in Jiminny."
"Get the transcript and action items from call ACT-9421."
"Show coaching stats for user USR-201."
Troubleshooting Jiminny MCP Server with Pydantic AI
Common issues when connecting Jiminny to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiJiminny + Pydantic AI FAQ
Common questions about integrating Jiminny 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.