Jiminny MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Check Jiminny Status, Get Action Items, Get Activity, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jiminny through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Jiminny app connector for Mastra 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jiminny": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jiminny Agent",
instructions:
"You help users interact with Jiminny " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jiminny?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Jiminny tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI
When Mastra 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 Mastra AI via MCP
Follow these steps to wire Jiminny into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Jiminny MCP Server
Mastra AI provides unique advantages when paired with Jiminny through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Jiminny without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jiminny tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Jiminny + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jiminny MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jiminny, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jiminny as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jiminny on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jiminny tools alongside other MCP servers
Example Prompts for Jiminny in Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Jiminny to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJiminny + Mastra AI FAQ
Common questions about integrating Jiminny MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.