에이전트 강화
게시자의 자체 명령입니다. PlugMCP 엔드포인트가 아닙니다.
Host a copy with our keys and logs.
uvx memory-search-mcp==1.0.9Claude Code에는 로컬 명령용 설치 링크가 없습니다. 아래 명령을 복사해 터미널에서 실행합니다.
claude mcp add io.github.csoai-org-memory-search-mcp -- uvx memory-search-mcp==1.0.9터미널에서 실행합니다.
{ "mcpServers": { "io.github.csoai-org-memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp==1.0.9" ] } }}claude_desktop_config.json
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행Persistent AI memory system with semantic search, care-weighted episodes, temporal chains, knowledge base, and memory consolidation.
# Install via pip
pip install memory_search_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install memory-search-mcp --client claude
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npx meok-setup --pack governance
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"memory-search-mcp": {
"command": "uvx",
"args": ["memory-search-mcp"]
}
}
}
Or: pip install memory-search-mcp then run the memory-search-mcp command (stdio transport).
Once configured, ask your assistant, for example:
record_memory to …"search_memory to …"add_knowledge to …"
{ "mcpServers": { "io.github.csoai-org-memory-search-mcp": { "command": "uvx", "args": [ "memory-search-mcp==1.0.9" ] } }}도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 stdio 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
이 레코드에는 필수 환경 변수가 등록되어 있지 않습니다.
Memory Search은(는) stdio를 통해 로컬에서 실행됩니다.
마지막 확인: 2026-11-09. Memory Search MCP Server by MEOK AI Labs