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Securely connect Bee AI pendant conversations to MCP clients with read-only access.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "bee-ai-auth-mcp" yet — see the docs or source repo.
Use bee-ai-auth-mcp to connect to my Bee AI account, list the 10 most recent conversations, and provide each topic with a one-sentence summary in reverse chronological order. Keep everything read-only and do not modify any data.
A read-only list of recent conversations with timestamps, topics, and short summaries.
Through bee-ai-auth-mcp, read my Bee AI conversations from today, filter meeting-related content, and extract key decisions, action items, and risks in bullet points.
A structured summary of meeting-related conversations for quick review and follow-up.
Based on bee-ai-auth-mcp's integration model, explain how OAuth, encrypted per-user token custody, and default read-only permissions protect Bee AI conversation data, then list the security checks I should review during deployment.
An explanation of the security model plus a deployment checklist to assess integration risks.
Query and analyze AI assistant usage data from Beacon logs.
Enable enterprise auth, token validation, and access control for AI agents.
Use a hosted domain-specialized LLM and MCP tools for coding and security tasks.
Build a JWT-secured MCP server and AI agent for tool calling.
Deploy a secure MCP OAuth 2.1 server with monitoring and analytics.
Securely access local Beeper chats, contacts, and media for AI automation.