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How to Connect Cohere to Real-Time SaaS Data with Unified.to MCP Server

Blog post from Unified.to

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Summary

Unified.to's MCP server offers a streamlined way to integrate Cohere's language models with real-time SaaS data, eliminating the need for complex code and API normalization. By providing access to over 317 SaaS integrations, Unified.to allows Cohere to directly utilize these tools without additional custom integration logic. Authentication can be done via private or public flows, ensuring secure and efficient data handling. The integration process involves using Cohere's chat API to orchestrate and call tools from Unified.to, enabling real-time data interactions such as scoring candidates for job applications. Advanced options allow for granular control over tool exposure, including permissions, tool allowlists, and PII protection. Unified.to MCP is designed for scale and security, with features like zero-storage architecture, multi-region deployments, and compatibility with major language model providers such as OpenAI and Google Gemini. However, as it is currently in beta, it is advised not to use it in production systems yet.