Pipedrive Activities MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Pipedrive Activities through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"pipedrive-activities": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Pipedrive Activities Agent",
instructions:
"You help users interact with Pipedrive Activities " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Pipedrive Activities?"
);
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 Pipedrive Activities MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
Mastra's agent abstraction provides a clean separation between LLM logic and Pipedrive Activities tool infrastructure. Connect 8 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
- Deals — Search, create, and update deals with pipeline tracking
- Contacts — Find and create persons with email, phone, and organization
- Organizations — Search companies linked to deals and contacts
- Activities — Create calls, meetings, tasks, and emails
- Notes — Attach notes to deals, persons, or organizations
- Pipelines — View all pipeline stages and deal flow
The Pipedrive Activities MCP Server exposes 8 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.
How to Connect Pipedrive Activities to Mastra AI via MCP
Follow these steps to integrate the Pipedrive Activities MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Pipedrive Activities via MCP
Why Use Mastra AI with the Pipedrive Activities MCP Server
Mastra AI provides unique advantages when paired with Pipedrive Activities through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Pipedrive Activities 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 Pipedrive Activities 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
Pipedrive Activities + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Pipedrive Activities MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Pipedrive Activities, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Pipedrive Activities as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Pipedrive Activities on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Pipedrive Activities tools alongside other MCP servers
Pipedrive Activities MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Pipedrive Activities to Mastra AI via MCP:
pd_activity_types
Default types: call, meeting, task, deadline, email, lunch. Teams can add custom types. Use to discover available activity types before creating activities, especially in accounts with custom configurations. List all activity types configured in Pipedrive — both default types (call, meeting) and custom types defined by the team
pd_create_activity
Subject and type are required. Type must be: call, meeting, email, task, lunch, or deadline (use pd_activity_types to see custom types). Set due_date (YYYY-MM-DD), due_time (HH:MM), and duration (HH:MM). Link to deals, persons, or orgs. Activities appear in the Pipedrive calendar and task queue for the assigned user. Schedule a sales activity in Pipedrive — a call, meeting, email follow-up, task, lunch, or deadline linked to deals or contacts
pd_deal_activities
Returns all scheduled, pending, and completed activities for that deal. Use when the user asks "what activities are on this deal?", "when is the next meeting for this deal?", or needs to review the engagement history of an opportunity. Get all activities (calls, meetings, tasks) linked to a specific deal for a complete activity history
pd_delete_activity
Consider marking as done (pd_mark_activity_done) instead to preserve history. Use only when the user explicitly wants to remove an activity from the record. Permanently delete a Pipedrive activity — this removes it from history and cannot be undone
pd_get_activity
Returns subject, type, dates/times, duration, notes, linked deal/person/org, and completion status. Use after listing activities to drill into a specific item. Get complete details of a specific Pipedrive activity by ID including notes, duration, and linked records
pd_list_activities
Returns subject, type (call/meeting/email/task/lunch/deadline), due date and time, whether it is done, and linked deal/person/org. Filter by done status: "true" for completed, "false" for pending/upcoming. Use when the user asks about tasks to do, scheduled meetings, overdue items, or recent sales activity. List Pipedrive activities (calls, meetings, tasks, emails) with due dates, types, and completion status
pd_mark_activity_done
The activity remains in history but is no longer in the pending/overdue queue. Use when the user says they completed a call, finished a meeting, or done with a task. Mark a Pipedrive activity as completed — removes it from the pending task queue and logs it as done
pd_update_activity
Only specified fields change. Use to reschedule (change due_date), rename (change subject), or reclassify (change type). Does not mark as done — use pd_mark_activity_done for that. Update an existing Pipedrive activity — reschedule, rename, or change type
Example Prompts for Pipedrive Activities in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Pipedrive Activities immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Activities MCP Server with Mastra AI
Common issues when connecting Pipedrive Activities to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPipedrive Activities + Mastra AI FAQ
Common questions about integrating Pipedrive Activities 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.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Pipedrive Activities with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Pipedrive Activities to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.