• Lamatic Labs
  • Posts
  • MCP Server, New Cohere Models, Improvements to Firecrawl and Deployments

MCP Server, New Cohere Models, Improvements to Firecrawl and Deployments

Excited to introduce MCP integration for secure external data access and tool connectivity, announcing cohere model support, launch the new unified Firecrawl Node for streamlined data crawling, and deliver faster, more stable deployments, built to support growing teams.

AuthorAuthor

Vrijraj Singh & Aman Sharma
August 01, 2025

MCP Integration

You can now connect to external systems and APIs in a secure, modular way with MCP Server integration in Lamatic Studio. Available as part of your flow builder (e.g., in the Text Generate node, MCP Node), this integration unlocks:

  1. Trigger flows from new messages in a channel

  2. Sync and extract messages with metadata

  3. Run sentiment or entity analysis

  4. Enable semantic search on conversation history

Model Context Protocol (MCP) - Lamatic.ai

Model Context Protocol (MCP) is a standardised protocol that enables AI models to securely access external data sources and tools through a structured interface.

lamatic.ai/docs/mcp-tools/mcp

Cohere Models Now Available

We’ve added support for the Cohere Model, designed for long-context understanding and deep reasoning

  • Handle long documents and complex inputs

  • Perform multi-step Q&A and structured reasoning

  • Great for technical, analytical, or research-heavy content

  • Get more accurate and complete results inside your flows

Cohere - Lamatic.ai Integrations

Cohere's models are a suite of large language models (LLMs) designed for enterprise use, offering capabilities like text generation, semantic search, and retrieval-augmented generation (RAG).

lamatic.ai/integrations/models/cohere

Firecrawl Integration Improvement

Previously, you had to choose between a Crawler Node or Scraper Node. Now, with the new unified Firecrawl Node, you can configure either behavior directly inside a single node — giving you greater control and a streamlined experience.

  • Use it as a crawler, scraper, or both

  • Cleaner UI for setting crawling depth, filters, and output format

  • Easier debugging and output preview

Firecrawl - Lamatic.ai Integrations

Firecrawl is a robust tool designed to transform websites into LLM-ready data by leveraging its Crawler and Scraper functionalities.

lamatic.ai/integrations/apps-data-sources/firecrawl

Enhance Your Deployment flows

We're rolling out a new version of Lamatic Studio focused on faster performance, improved scalability, and better deployment stability. To take advantage of this, update your existing projects to the latest version.

  • More stable runtime across flows

  • Optimized handling of large file and model responses

  • Smoother version upgrade experience for existing customers

Other Improvements

  1. Improved PostgreSQL Integration: Refined the setup experience with clearer field descriptions and input validation, making it easier to connect your PostgreSQL database without confusion or errors.

  2. General Integration Enhancements: Enhanced Google Drive, Google Sheets, OneDrive, S3, SharePoint, and internal utilities with better error messages, improved logging, and clearer configuration flows for easier troubleshooting and more stable setups.

Lamatic for Startups

Find Fit Faster (free credits, priority support and hands-on expertise)

lamatic.ai/startups

Reply

or to participate.