recall-mcp

recall-mcp

Persistent memory MCP server for AI coding agents. Stores, searches, and retrieves context across sessions using SQLite and FTS5.

Category
Visit Server

README

Recall ☁️

Persistent memory MCP server for AI coding agents.

Store, search, and retrieve context across sessions. Built on SQLite + FTS5.

Works with Claude Code, Cursor, GitHub Copilot, Gemini CLI, and any MCP-compatible agent.

Why?

AI coding agents are stateless. Every new session starts from zero. You re-explain your architecture, re-discover patterns, re-learn the same conventions.

Recall gives your agent a memory that persists. Store decisions, patterns, bug fixes, architecture notes — anything worth remembering. Next session, search and retrieve instantly.

Install

npm install -g recall-mcp

Or use directly with npx:

npx recall-mcp

Configure

Claude Code

Add to your .claude/settings.json:

{
  "mcpServers": {
    "recall": {
      "command": "npx",
      "args": ["recall-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "recall": {
      "command": "npx",
      "args": ["recall-mcp"]
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "recall": {
      "command": "npx",
      "args": ["recall-mcp"]
    }
  }
}

Tools

recall_store

Store or update a memory. If a memory with the same key exists, it gets updated.

key: "project.auth.decision"
content: "Using JWT with RS256. Public key rotated weekly via /keys endpoint."
tags: ["decision", "architecture", "auth"]
scope: "my-project"

recall_get

Retrieve a specific memory by key.

key: "project.auth.decision"
scope: "my-project"  // optional

recall_search

Full-text search across all memories. Returns ranked results.

query: "authentication pattern"
limit: 10
scope: "my-project"  // optional

recall_list

List recent memories, optionally filtered by scope.

scope: "my-project"  // optional
limit: 20

recall_delete

Delete a memory by key.

key: "project.auth.decision"
scope: "my-project"  // optional

recall_stats

Show memory statistics — total count, breakdown by scope.

How It Works

  • Storage: SQLite with WAL mode. All data stored locally in ~/.recall/recall.db.
  • Search: FTS5 full-text search with automatic ranking. Fast even with thousands of memories.
  • Scoping: Memories are scoped to global by default. Use project-specific scopes to keep project context separate.
  • Auto-indexing: Every store/update/delete automatically syncs the FTS index via SQLite triggers.

Use Cases

  • Architecture decisions — "Why did we choose X over Y?" → stored and searchable
  • Bug fix patterns — "This weird null pointer was caused by..." → never debug the same thing twice
  • Code conventions — "In this project, we use..." → agents follow your rules automatically
  • Project context — Store project structure, key files, gotchas for instant onboarding
  • Cross-session learning — Agent remembers what it learned last session

Configuration

Env Var Default Description
RECALL_DB_PATH ~/.recall/recall.db Path to the SQLite database file

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured