Noloco Expands MCP Integration to Connect Claude, Cursor, and ChatGPT with Live Business Data.

Noloco expanded its Model Context Protocol integration to connect Claude, Cursor, and ChatGPT directly to live business data, aiming to eliminate the manual work of copying context between AI tools and operational systems.

The no-code app builder announced on LinkedIn that its MCP integration now lets AI assistants query and modify records in Noloco apps without switching contexts. Teams can ask ChatGPT for delivery insights pulled from live client data, use Claude to create or update project records, or pull CRM information into AI-driven workflows.

The Model Context Protocol acts as a bridge between Noloco's data layer and AI tools. Instead of exporting spreadsheets or copying information manually, users can prompt their AI assistant to fetch project status updates, analyze client engagement, or draft records based on current data.

Noloco positions the integration as a way to keep AI outputs connected to operations. A team using Noloco for project delivery could ask Claude to generate a status report using live task completion rates, then update client-facing dashboards without leaving the conversation. The MCP layer retrieves data directly from Noloco's database and writes changes back when the AI assistant creates or modifies records.

Service businesses often run delivery workflows in Noloco while using AI tools for client communications, proposal generation, and process documentation. The MCP integration targets the gap between those two layers, where teams typically copy data into prompts or paste AI outputs into forms.

An agency managing client projects in Noloco could now ask Cursor to pull overdue tasks and generate follow-up emails based on project history, or prompt ChatGPT to summarize pipeline activity using real CRM records. The integration supports read and write operations, so AI assistants can also create new records or update existing ones based on user instructions.

Noloco's focus on service businesses and operational apps distinguishes this from general-purpose AI integrations. The company has been shipping updates focused on agency workflows, including record history tracking and improved filtering for client searches.

The MCP integration currently works with Claude, Cursor, and ChatGPT. Noloco did not specify which subscription tiers are required for each AI tool or whether the integration supports all Noloco data sources. The company's platform connects to Airtable, Google Sheets, PostgreSQL, and other databases, but the announcement did not clarify whether MCP access extends to all backends.

Teams interested in connecting AI workflows to Noloco can find setup instructions on the Noloco website. The integration is live now, and Noloco indicated it plans to expand MCP support as more AI tools adopt the protocol.