recall-mcp
Persistent memory MCP server for AI coding agents. Stores, searches, and retrieves context across sessions using SQLite and FTS5.
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
globalby 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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。