Bring Activity Tracking
to LlamaIndex
Create your Vinkius account to connect Pipedrive Activities to LlamaIndex and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Pipedrive Activities MCP Server?
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
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
Who is this for?
- Sales Reps — Manage your pipeline without leaving your AI assistant
- SDRs — Quickly create leads, contacts, and activities
- Sales Managers — Pipeline overview and deal insights through conversation
- RevOps — Full CRM visibility and reporting
Built-in capabilities (8)
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
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
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
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
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
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
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
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
Why LlamaIndex?
LlamaIndex agents combine Pipedrive Activities tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Pipedrive Activities tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Pipedrive Activities tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Pipedrive Activities, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Pipedrive Activities tools were called, what data was returned, and how it influenced the final answer
Pipedrive Activities in LlamaIndex
Why run Pipedrive Activities with Vinkius?
The Pipedrive Activities connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Pipedrive Activities using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Pipedrive Activities and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Pipedrive Activities to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Pipedrive Activities for LlamaIndex
Every request between LlamaIndex and Pipedrive Activities is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
What Pipedrive data can I access?
Deals, Persons, Organizations, Activities, Notes, and Pipelines. All data respects your Pipedrive permissions.
Can I create and update records?
Yes! Create and update deals, contacts, activities, and notes — all through natural conversation.
How does authentication work?
Uses your personal Pipedrive API token. Find it in Settings > Personal preferences > API. No OAuth flow needed.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Pipedrive Activities tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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