model context protocol
8 Articles
Salesforce Headless 360 and the MCP Standard Explained
Explore how Salesforce Headless 360 shifts the CRM to an API-first architecture, adopting the Model Context Protocol (MCP) standard for agentic AI workflows.
Kimi K2 Explained: Agentic Architecture & MCP Integration
An in-depth analysis of Kimi K2, an agentic LLM with a trillion-parameter MoE architecture. Learn its training, benchmarks, and MCP tool integration.
Salesforce AI Copilot Guide: Einstein vs. Cirra vs. GPTs
Our 2025 guide to Salesforce AI copilots compares Einstein GPT, Cirra AI, and horizontal GPTs. Learn the key differences in capabilities, security, and use case
GLM-4.6 Tool Calling & MCP Use: A Technical Analysis
A technical analysis of Zhipu AI's GLM-4.6 model. Learn about its performance on agentic tasks, native tool calling, and integration with Model Context Protocol
An Overview of Salesforce MCP Servers and Connectors
A technical review of commercial, open-source, and native Salesforce MCP connectors. Learn how these tools use the Model Context Protocol for AI data access.
Salesforce MCP Servers: Technical Overview & Hands-On Lab
A technical guide to Salesforce Hosted MCP servers. Learn how the Model Context Protocol (MCP) connects AI agents to CRM data and follow a hands-on setup.
The Model Context Protocol (MCP) for AI Tool Integration
Learn about the Model Context Protocol (MCP), an open standard for AI-driven data and tool integration. This article explains its architecture and operation.
Building and Deploying a TypeScript MCP Server on Heroku
A technical guide to building and deploying a Model Context Protocol (MCP) server with TypeScript and Node.js on the Heroku platform for Salesforce integration.