claude-memory-search-mcp

claude-memory-search-mcp

Enables keyword search, filtering, and retrieval of Claude Code memory files, reducing context overhead by fetching only relevant memories on demand.

Category
访问服务器

README

claude-memory-search-mcp

MCP server that searches and links across Claude Code memory files.

Why

Claude Code's auto-memory directory grows large quickly (100+ files in my setup). Loading every memory into context defeats the point of having them — and the auto-loaded MEMORY.md only carries a 150-char hook per entry. This server lets Claude:

  • search by keyword across every memory body, not just titles,
  • filter by type (user / feedback / project / reference),
  • fetch a single memory in full only when needed,
  • traverse [[wikilinks]] to pull related context on demand.

In short: stop trying to hold the whole memory in the window. Index it, then pull what you need.

Tools

Tool Args Description
search_memory query, limit? Ranked keyword search across all memory bodies. Bonuses for title and description hits.
get_memory name Fetch the full body of one memory by file name (no .md).
list_memories type? List every memory, optionally filtered by type.
find_related name Return memories linked from or to a given memory via [[wikilinks]].

Install

From source (recommended for Claude Code MCP config)

git clone https://github.com/yangchoi/claude-memory-search-mcp.git
cd claude-memory-search-mcp
npm install
npm run build

Run directly via npx (no local clone)

npx -y github:yangchoi/claude-memory-search-mcp

Slower on first invocation (npx fetches and builds), then cached.

Configure in Claude Code

Add to your Claude Code MCP config (~/.claude/settings.json or project .mcp.json):

{
  "mcpServers": {
    "memory-search": {
      "command": "node",
      "args": ["/absolute/path/to/claude-memory-search-mcp/dist/index.js"],
      "env": {
        "CLAUDE_MEMORY_DIR": "/Users/you/.claude/projects/<your-project-id>/memory"
      }
    }
  }
}

CLAUDE_MEMORY_DIR is optional — by default the server derives the path from $HOME (e.g. /Users/jane~/.claude/projects/-Users-jane/memory on macOS, /home/jane~/.claude/projects/-home-jane/memory on Linux). Set it explicitly if your memory lives elsewhere.

Restart Claude Code. The four tools above will appear under mcp__memory-search__*.

Example

> search_memory query="database migration"
[42] backend-project-notes (project)
  matches: database, migration
  Postgres migration patterns and rollback strategy
[18] team-conventions (reference)
  matches: migration
  ...

License

MIT

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选