crm-cli for AI Business

Terminal CRM with MCP server for local AI integration

crm-cli, developed by Jdanielnd, is a terminal-first CRM and MCP server built for local business data management. The app lets users manage contacts, companies, and interaction history from the command line while exposing a Model Context Protocol endpoint for AI assistants to query or modify records. Key elements include contact CRUD, company grouping, interaction logging, and full-text search. Intended for developers, small-business owners, and power users, it offers a privacy-focused, scriptable alternative to web CRMs.

What tasks can you actually use it for?

The tool focuses on practical CRM workloads executed from a shell or by an MCP-aware assistant. Primary operations include contact CRUD, company records, interaction logging, and full-text search. Users can add or update names, emails, and phone numbers; inspect meeting, call, and email histories; and let an AI agent query or append notes using natural language commands. Typical daily jobs fit scriptable, terminal-centred workflows.

• Create or update names, emails, and phone numbers
• Group contacts by company and inspect relationship histories
• Query records from an AI agent using natural language

How reliable are AI-driven queries and updates?

The app runs an MCP endpoint so AI agents such as Claude can read and write CRM records, but the exact results depend on the external assistant's responses and prompt quality. Core CLI operations run offline; when an assistant mediates actions it uses the assistant's network connection. Data is typically stored locally in JSON or SQLite files, and bulk imports require manual scripting or direct file edits rather than a GUI import tool.

Does it require technical knowledge to get useful results?

Yes. The project expects a Node.js runtime and familiarity with the command line; setup often uses npx or a local executable path in an MCP client configuration. The codebase is TypeScript and intentionally extensible, so customization through scripts or editing source files is the normal path. That design suits developers, power users, and small teams that can maintain scripts and server configuration themselves.

How are sensitive contacts and logs kept private?

The design keeps CRM files on the user's machine, typically stored under the application data directory in JSON or SQLite form, which gives operators direct control over retention and backups. Being open-source under the MIT license makes the data pipeline inspectable and scriptable. Those who route actions through an external assistant should remember that the assistant's networked session, not the local server, uses internet connectivity for mediated queries.

Best fit: maintainable, developer-led CRM workflows

crm-cli is a pragmatic option for developers and technical small-business operators who treat CRM as a maintainable code component. It rewards investment in scripting and source inspection and is best used where teams accept hands-on maintenance and verification of AI-driven edits. For groups seeking a ready-made, non-technical CRM experience, the command-line orientation and configuration needs make it a less suitable match.