About Recall
Recall connects cards stored in Recall (recall.it) to AI assistants and MCP clients, for people retrieving information from a personal knowledge base. It supports semantic search, filtered listings, and card reading, but not writing.
Key features
- 01Search cards semantically
- 02Filter by tags, dates, and source URL
- 03List saved cards
- 04Read card content
Use cases
- 01Find saved information on a topic
- 02Review recently added cards
- 03Read the contents of a specific card
- 04Filter records by tag or source
MCP support
The MCP server uses the official Recall API to provide card search, listing, and reading tools. It is read-only and does not support writing.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.mcp.ai/p_recallclaude mcp add --transport http dir-recall https://api.mcp.ai/p_recall{"mcpServers":{"dir-recall":{"type":"http","url":"https://api.mcp.ai/p_recall"}}}Open in Cursor{"servers":{"dir-recall":{"type":"http","url":"https://api.mcp.ai/p_recall"}}}Open in VS Code{"mcpServers":{"dir-recall":{"type":"http","url":"https://api.mcp.ai/p_recall"}}}{"mcpServers":{"dir-recall":{"serverUrl":"https://api.mcp.ai/p_recall"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
10| Parameter | Type | Required | Description |
|---|---|---|---|
| account | string | No |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.