BusinessMCP
Pipedrive logo

Pipedrive

Free forever

pipedrive · CRM & Sales

15k installs

Connect in 1 click

The Pipedrive MCP Server connects your Pipedrive sales CRM directly to any AI agent — Claude, GPT, Gemini, or a custom assistant — through a single hosted MCP endpoint. Instead of building one-off integrations for every model provider, you connect Pipedrive once through BusinessMCP and expose deal data, pipelines, contacts, and activities to whichever AI tool your team already uses. This is especially useful for sales operations teams who want AI copilots that can query live pipeline data, draft follow-up emails based on deal stage, or flag stalled opportunities without engineers hand-rolling API glue code for each new model.

Under the hood, this MCP server exposes Pipedrive's core sales objects — deals, persons, organizations, activities, and pipeline stages — as structured, agent-callable tools. An AI agent can pull a rep's open deals, move a deal to the next stage, log a call or meeting, or search for a contact by company name, all through natural language requests routed to your hosted /api/mcp endpoint using a Bearer mcph_* key. Because the connection is model-agnostic, you're not locked into a single AI vendor's plugin ecosystem; swap Claude for GPT or Gemini without re-wiring your Pipedrive integration.

What makes this more than a basic CRM connector is the business-intelligence layer that comes with every BusinessMCP server. Pipedrive deal and pipeline data can be correlated against other connected tools — ad platforms, support desks, databases — inside one BI dashboard, so a sales leader can see how marketing spend or support ticket volume relates to deal velocity without exporting CSVs or building custom ETL. The MCP server handles the live, agent-facing queries; the dashboard handles the aggregate view across your whole stack.

Common deployments include AI-assisted sales pipeline management, where an agent reviews pipeline health each morning and surfaces at-risk deals; automated lead qualification, where inbound leads are enriched and scored before being pushed into the right pipeline stage; and sales rep coaching, where an agent drafts personalized outreach based on deal history and prior activities. Teams running revenue operations across CRM, support, and marketing tools often pair this Pipedrive connector with a helpdesk or ticketing MCP server so agents can reason about the full customer lifecycle — from first contact to closed deal to post-sale support — through one unified, cookieless and GDPR-friendly hosting layer.

Because the server is hosted and managed, there's no infrastructure to maintain: authentication, rate limiting, and schema updates for Pipedrive's API are handled centrally, and access is governed by scoped mcph_* keys rather than shared credentials. Whether you're piping deal data into an internal AI assistant, wiring up automated pipeline reporting, or building a custom sales agent from scratch, the Pipedrive MCP server gives any AI model a consistent, secure way to read and act on your CRM data alongside the rest of your business tools.

$ npx mcphosting-cli add pipedrive

Just say it in a thread

No configs, no docs. Once connected, these are the kinds of messages your agents act on.

"Retrieve open, won, or lost deals filtered by pipeline, stage, or owner — and give me the highlights."

"Create a new deal in a specified pipedrive pipeline with associated contact and value for me, then post a summary in the thread."

"Move a deal to a different pipeline stage or update its status and flag anything that needs my approval."

What teams use it for

  • AI agent reviews open deals each morning and flags stalled opportunities by pipeline stage
  • Automated lead qualification pushes enriched inbound leads into the correct Pipedrive pipeline
  • Sales rep drafts personalized follow-up emails using deal and activity history pulled via the agent
  • Revenue ops dashboard correlates Pipedrive deal velocity with ad spend and support ticket data
  • Agent logs calls and meetings directly into Pipedrive activities after a sales conversation

Agent-callable tools

list_deals

Retrieve open, won, or lost deals filtered by pipeline, stage, or owner.

create_deal

Create a new deal in a specified Pipedrive pipeline with associated contact and value.

update_deal_stage

Move a deal to a different pipeline stage or update its status.

search_persons

Search contacts by name, email, or associated organization.

create_activity

Log a call, meeting, or task against a deal or contact record.

get_pipeline_summary

Fetch aggregate pipeline metrics such as deal counts and value by stage.

get_deal_details

Retrieve full details, notes, and activity history for a specific deal.

create_organization

Add a new company record to Pipedrive with associated deals and contacts.

Your data stays yours

Credentials live in your vault. We route requests — we never store, log, or train on your data.

Works with every AI

Connect once — portable across Claude, GPT, Gemini, and every local agent you run.

Frequently asked questions

How does an AI agent connect to Pipedrive through this MCP server?

Any MCP-compatible agent authenticates with a Bearer mcph_* key against your hosted /api/mcp endpoint, which exposes Pipedrive's deals, contacts, and pipelines as callable tools without needing a Pipedrive-specific integration built per model.

Can I use this with GPT, Claude, and Gemini at the same time?

Yes, the server is model-agnostic — you connect Pipedrive once through BusinessMCP and any supported AI model can call the same hosted endpoint.

Does this replace Pipedrive's native reporting?

No, it complements it — the MCP server enables live, agent-driven actions and queries, while the BusinessMCP BI dashboard aggregates Pipedrive data alongside your other connected tools for broader analysis.

Give your AI team the Pipedrive skill

Free forever plan, no credit card. Connected and working in under five minutes.

Connect Pipedrive free