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✦ Free & open sourceSales

relaticle

Self-hosted CRM built with Laravel and Filament that allows AI agents to query and update sales data via MCP.

Open-Source CRM Built for AI Agent Workflows

Let AI agents query, update, and analyze your sales pipelines through a native MCP server integration.

Free forever · open source · AGPL-3.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
7
ZEKAI
Top choice for AI-native CRM.
Free & open source · Sales
Ease of setup4
Usefulness8
Maintenance9.5
Community6.5
★ 1,779
GITHUB
Oct 2026
UPDATED
AGPL-3.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Relaticle is a self-hosted CRM engineered specifically for AI agent integration alongside human sales teams. By connecting tools like Claude or ChatGPT over the Model Context Protocol (MCP), your AI models can directly interact with customer records. It is best suited for developer-led growth teams and technical startups who need control over their sales infrastructure.

Runs on
Web
Hosting
Self-host
Languages
PHP
License
AGPL-3.0

What it is

Relaticle provides a Filament-based interface paired with a 37-tool MCP server and REST API for automation. It supports dynamic custom fields with per-field encryption and multi-workspace isolation. You can let AI agents perform record creation, pipeline analysis, and activity updates without running database migrations.

Who it's for

It suits sales engineers, technical RevOps leads, and startups who want to automate lead prospecting using AI agents over MCP. It is not suitable for non-technical sales teams without IT support to manage server environments and database dependencies.

Key features

37 Native MCP Tools

Connect AI models directly to inspect schemas, update contact records, and analyze active sales pipelines.

Migration Free Custom Fields

Add dynamic text, date, currency, and select attributes with built-in per-field encryption.

Multi Workspace Data Isolation

Partition sales records across distinct workspace environments with granular role-based permissions.

Modern Laravel Stack

Extend core sales features using Laravel 13, Filament 5, and Livewire 4 codebase structures.

How to start

Up and running in 3 steps

1
Clone the repository and run composer app-install to pull required dependencies.
2
Configure environment variables for your PostgreSQL 17 instance and Redis queue drivers.
3
Connect your preferred LLM agent client to the Relaticle MCP server endpoint.
Real talk

Our honest verdict

What's great

  • Built-in MCP server allows LLMs like Claude to perform structured operations on CRM data out of the box.
  • Per-field encryption protects sensitive custom attributes stored on your own database server.
  • Workspace-scoped architecture keeps distinct projects or enterprise clients cleanly segregated.
  • Dynamic custom field engine eliminates database migration requirements when modifying schemas.

Where it falls short

  • Requires high host system dependencies including PHP 8.5+, PostgreSQL 17+, and Redis for background queues.
  • Demands ongoing technical server management, security patching, and environment updates.
  • Ships in English only by default, requiring custom translation files for international teams.
  • Lacks native built-in email sequence senders or voice dialing tools inside the web interface.
Cost

Pricing & license

Relaticle is free software under the AGPL-3.0 license. There is no official managed SaaS tier offered, so your costs consist entirely of your own server infrastructure and maintenance overhead.

Paid work

Open remote AI-training roles

880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Questions

FAQ

How do AI agents communicate with Relaticle?

AI agents connect using the Model Context Protocol (MCP) server or standard REST API to execute CRUD actions and pipeline analysis.

What server stack is required to run Relaticle?

You need a server running PHP 8.5 or higher, PostgreSQL 17 or higher, Node.js 22+, and optionally Redis for queue processing.

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