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infino-ai/infino-mcp

infino-ai/infino-mcp

Retrieval over your own data with I
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add infino-mcp -- npx -y infino-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · infino-ai/infino-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 infino-ai/infino-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Infino MCP server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

An MCP server for Infino — it lets an AI agent run **keyword**, **semantic**, **hybrid**, and **SQL** retrieval over your data on object storage — the retrieval layer for RAG, persistent agent memory, and search over your own files — from any MCP-compatible client (Claude Code, Claude Desktop, Cursor, VS Code, and others). Published on npm as @infino-ai/mcp-server and listed on the official MCP Registry as io.github.infino-ai/mcp-server (which propagates to catalogs like Smithery, Glama, and PulseMCP).
- **Local embeddings, no key.** Semantic search embeds queries with a local model — nothing leaves the machine for embedding.
- **The agent owns the data.** Every tool, writes included, is always available. On Infino Cloud the API key's capabilities decide what a connection may do; every tool carries MCP annotations so your client can ask before a destructive call.
- **Local or hosted.** Point it at a local path, your own bucket (S3, Azure, or any S3-compatible store), or a hosted Infino Cloud endpoint with an API key.
- **The index is a valid Parquet file.** A table stores the data and its search indexes in plain Parquet on the storage — open the same file with DuckDB or pyarrow. No export, no lock-in.
---
Contents
- Requirements
- Quick start
- Claude Code plugin (one-step install)
- Client setup
- Claude Code
- Claude Desktop
- Cursor
- VS Code
- Other MCP clients
- Configuration
- Environment variables
- Storage backends
- Tools
- Security & data handling
- How retrieval works
- Troubleshooting
- Local development
- License
---
Requirements
- **Node.js ≥ 20** (the server runs as a Node process over stdio).
- **An MCP-compatible client** (Claude Code, Claude Desktop, Cursor, VS Code, …).
- **Data reachable by Infino** — a local directory, a bucket with credentials available in the environment, or a hosted Infino Cloud endpoint with an API key (see Storage backends).
- On first run the server downloads the local embedding model (~90 MB) once and caches it; subsequent runs are offline for embedding.
---
Quick start
The server is launched by your MCP client over stdio — you don't run it directly in normal use. Every client config follows the same shape: command npx -y @infino-ai/mcp-server, with configuration supplied via environment variables. Set INFINO_MCP_URI to the data you want to serve — a local path or a bucket URI. If it's omitted, the server uses a durable per-user directory (~/.infino/mcp) so data persists across restarts; point INFINO_MCP_URI at your own path or bucket to serve existing data.
To serve a **hosted Infino Cloud** database instead, point INFINO_MCP_URI at
the https:// / endpoint and supply your API key. Everything
else is identical:
The sections below show the exact place each client expects this block.
---
Claude Code plugin (one-step install)
For Claude Code, this repo is also a plugin marketplace. Installing the plugin wires up the MCP server **plus** a how-to-use skill and an /infino-search command in one step — no JSON to edit. Inside Claude Code:
On enable you'll be prompted for your **Infino data URI** (INFINO_MCP_URI) and, for Infino Cloud, your **API key**. That's it: the infino_* tools, the using-infino skill, and /infino-search are then available. (Other clients: use the Client setup configs below.)
---
Client setup
Claude Code
Add the server with the CLI. Use --scope user to make it available in every project, or --scope project to commit it to the repo (writes a shared .mcp.json); the default scope is local (this project only).
Add more knobs with repeated -e flags, e.g. -e INFINO_MCP_VALIDATE=true. Verify with:
Claude Desktop
Edit the configuration file (create it if it doesn't exist), then fully restart Claude Desktop.
| OS | Path |
| --- | --- |
| macOS | ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | %APPDATA%\Claude\claude_desktop_config.json |
| Linux | ~/.config/Claude/claude_desktop_config.json |
Cursor
Add the server to **~/.cursor/mcp.json** (available in all projects) or ** /.cursor/mcp.json** (this project only), then reload. The format matches Claude Desktop:
VS Code
VS Code (1.102+) reads MCP servers from **.vscode/mcp.json** in the workspace (or your user mcp.json via the command palette → *MCP: Open User Configuration*). Note the top-level key is servers and each entry declares "type": "stdio":
来源
awesome · https://github.com/infino-ai/infino-mcp
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