Reattend
@reattend
About Reattend
Reate
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"reattend": {
"command": "npx",
"args": [
"-y",
"@reattend/mcp",
"--token",
"rat_your_token_here"
]
}
}
}Tools
4Search the user's Reattend memory for relevant information. Use this proactively when the user asks about anything they may have captured — meetings, decisions, notes, Slack messages, emails, or any saved context. Also use it before answering questions that might have relevant past context.
Ask a question and get an AI-generated answer synthesised from the user's saved memories. Best when the user needs a direct answer that may span multiple memories. Use search_memories when you just need to find or list specific items.
Save something to the user's Reattend memory. Use this when the user explicitly says to remember, save, note, or capture something. Also use it to record decisions made during this conversation if the user asks.
Get the user's most recently saved memories. Use this when the user asks what they've been working on, what was recently captured, or wants a summary of recent activity.
Overview
What is Reattend?
Reattend is an MCP server that gives AI assistants like Claude, Cursor, and Windsurf persistent memory across sessions and tools. It connects to a personal memory store built automatically from captured context from meetings, Slack, Gmail, Notion, and other sources via the Reattend Chrome extension.
How to use Reattend?
Install with npx -y @reattend/mcp --token rat_your_token_here. Configure the server in your AI tool’s MCP settings (e.g., Claude Desktop config JSON, Cursor’s .cursor/mcp.json, VS Code Copilot’s .vscode/mcp.json). Restart the tool to begin using persistent memory.
Key features of Reattend
- Semantic + keyword search across all captured memories
- Automatic capture from tools via Chrome extension
- Cross-session and cross-tool memory persistence
- Save preferences, decisions, and notes mid-conversation
- Synthesized answers from full memory store
Use cases of Reattend
- Automatically recall meeting context before a call
- Persist architecture decisions and code preferences across sessions
- Provide team shared memory for onboarding and decision history
- Retrieve action items from past meetings without manual notes
FAQ from Reattend
What are the requirements to use Reattend?
Node.js 18+, a Reattend account (sign up free at reattend.com), and optionally the Chrome extension for automatic capture.
How does Reattend capture memory?
The Chrome extension passively captures from tools you already use (meeting transcripts, Slack threads, emails, docs). Captures are triaged by AI, embedded for semantic search, and stored in your personal memory.
What tools does the MCP server expose?
Four tools: search_memories (semantic+keyword search), ask_memory (AI-synthesized answer), save_memory (save from conversation), and recent_memories (most recent captures).
How is Reattend different from pasting context into prompts?
Automatic and permanent instead of manual per session. Covers everything captured rather than what’s remembered to paste. Provides full semantic search and works across sessions and all MCP-compatible tools.
Frequently asked questions
What are the requirements to use Reattend?
Node.js 18+, a Reattend account (sign up free at reattend.com), and optionally the Chrome extension for automatic capture.
How does Reattend capture memory?
The Chrome extension passively captures from tools you already use (meeting transcripts, Slack threads, emails, docs). Captures are triaged by AI, embedded for semantic search, and stored in your personal memory.
What tools does the MCP server expose?
Four tools: `search_memories` (semantic+keyword search), `ask_memory` (AI-synthesized answer), `save_memory` (save from conversation), and `recent_memories` (most recent captures).
How is Reattend different from pasting context into prompts?
Automatic and permanent instead of manual per session. Covers everything captured rather than what’s remembered to paste. Provides full semantic search and works across sessions and all MCP-compatible tools.
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