shinpr/mcp-local-rag
❌ 实测失败serverTypeScriptMIT★ 429
Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.
实测结果
失败
沙箱内启动/握手失败,下方给出失败阶段与原始报错。失败阶段:initialize,错误类型:write_denied。这类信息对判断“是不是我这边的环境问题”很有用,原始报错见下。
error_type: write_denied
: './lancedb/',
modelName: 'Xenova/all-MiniLM-L6-v2',
cacheDir: './models/',
baseDirs: [ '/work/' ],
rawBaseDirs: [ '/work/' ],
ignorePatterns: [],
maxFileSize: 104857600,
device: 'cpu',
storeImages: false,
titlePrefix: false,
headingPrefix: false,
rerankTimeoutMs: 10000
}
Failed to start RAG MCP Server: DatabaseError: Failed to initialize VectorStore
at VectorStore.initialize (file:///work/node_modules/mcp-local-rag/dist/vectordb/index.js:36:19)
at async RAGServer.initialize (file:///work/node_modules/mcp-local-rag/dist/server/index.js:355:9)
at async startServer (file:///work/node_modules/mcp-local-rag/dist/server-main.js:238:9) {
layer: 'vectordb',
kind: 'internal',
cause: [Error: Unable to created lance dataset at ./lancedb/: Read-only file system (os error 30) Caused by: Read-only file system (os error 30)] {
code: 'GenericFailure'
}
}- 安装方式
- npx
- 包名
- mcp-local-rag
- 解析依据
- npm registry match (mcpName=io.github.shinpr/mcp-local-rag)
- 沙箱
- docker
- 总耗时
- 238052 ms
- 安装耗时
- 232737 ms
- 工作目录
- 1138 MB
- 探针版本
- 1.0.0
- 实测时间
- 2026-11-11 16:33:45
如何使用
1安装 / 启动命令npm / npx
npx -y mcp-local-rag
2客户端配置Claude Desktop / Cursor
{
"mcpServers": {
"shinpr-mcp-local-rag": {
"command": "npx",
"args": [
"-y",
"mcp-local-rag"
]
}
}
}整段粘进 claude_desktop_config.json 的 mcpServers 里(Cursor 用 ~/.cursor/mcp.json),保存后重启客户端。
安装方式来源:npm registry match (mcpName=io.github.shinpr/mcp-local-rag),沙箱实测未通过。
仓库信息
- 全名
- shinpr/mcp-local-rag
- 分类
- server
- Stars
- 429
- Forks
- 84
- 主要语言
- TypeScript
- License
- MIT
- 最近推送
- 2026-11-04
- 仓库创建
- 2025-10-31
- 首次收录
- 2026-11-10
- 最近抓取
- 2026-11-10
#agent-skills#cli-tool#developer-tools#hybrid-search#local-first#local-rag#mcp#mcp-server#model-context-protocol#privacy-first#rag#semantic-search