Grist Labs co-founder Stan gives sneak peek at the new Grist MCP server. If you’re new to AI workflows, Model Context Protocol (MCP) is a standard that makes it easier for AI models to access external data.

Stan starts with a quick demo that shows the simplicity and power of a basic MCP implementation, and then dives into an integration with Grist, GitHub, and AI agents to help deal with COE (correction of error) in software workflows.

Timestamps

00:00 Stan intro + roadmap
01:20 Simple CRM + MCP example
03:05 Configuring Claude connector
05:20 Grist + Claude demo
11:15 Grist + Codex (OpenAI) demo
14:00 Validating data quality using AI
18:46 COE (correction of error) document introduction
21:10 Connecting Grist + GitHub with MCP
24:30 Issue triage live demo
31:10 Summary and highlights
34:20 Q&A

Useful links

• More webinars: https://www.getgrist.com/webinars/
• Help Center: https://support.getgrist.com/
• Community Forum: https://community.getgrist.com/
• Discord: https://discord.gg/MYKpYQ3fbP

Other links mentioned

• MCP documentation: https://support.getgrist.com/mcp/
• Copilot MCP connection help: https://gh.io/copilot-coding-agent-mcp-docs