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pipedrive-mcp MCP Server

comma-compliance/pipedrive-mcp

Score: 55.1 Rank #24 MCP Server
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Pipedrive CRM server for the Model Context Protocol (MCP). 75 tools covering full CRUD, custom field resolution, and shortcut tools for common CRM workflows.

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Overview

comma-compliance/pipedrive-mcp is a TypeScript MCP server licensed under MIT. Pipedrive CRM server for the Model Context Protocol (MCP). 75 tools covering full CRUD, custom field resolution, and shortcut tools for common CRM workflows. Topics: mcp, mcp-server, model-context-protocol, pipedrive, typescript, ai-tools.

Ranked #24 out of 124 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

TypeScript MIT
mcpmcp-servermodel-context-protocolpipedrivetypescriptai-tools

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"model context protocol""model-context-protocol"

From the README

# pipedrive-mcp

A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server for [Pipedrive CRM](https://www.pipedrive.com). Provides 75 tools covering deals, persons, organizations, activities, notes, pipelines, products, leads, files, users, filters, custom fields, webhooks, and shortcut tools for common CRM workflows.

## Why this exists

We use Pipedrive as our primary CRM at [Comma Compliance](https://commacompliance.com). We wanted a way for our non-developer team members to interact with Pipedrive through AI assistants - searching contacts, updating deals, logging activities - without needing to learn the API or build custom integrations.

We're big fans of MCP as a protocol. APIs are great for structured integrations, but MCP hits a different sweet spot - self-documenting tools, built-in schema validation, and a natural interface for conversational interaction. It makes internal tools accessible to people who would never write a curl command. This is the first of s
Read full README on GitHub →

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