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1mcp/agent

1mcp/agent

📇 ☁️ 🏠 🍎 🪟 🐧 - Aggregates multiple MCP servers into one unified server
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 agent -- npx -y agent
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
517 ★ · 1mcp-app/agent · 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 10 个来源列出
评分构成
综合分 1,003 · 517 ★ · 10 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 1mcp-app/agent;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

1MCP

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

1MCP is the unified MCP runtime. 1mcp serve aggregates your MCP servers, and CLI mode adds a thinner agent-facing workflow for Codex, Claude, Cursor, and similar tool-using agents.
Why 1MCP
Most MCP setups eventually hit two kinds of sprawl:
- Configuration sprawl: every client needs its own MCP wiring, auth choices, and filtering rules.
- Agent sprawl: autonomous sessions carry too many tools and schemas into context up front.
1MCP addresses both:
- 1mcp serve gives you one aggregated runtime in front of many MCP servers.
- CLI mode lets agents discover tools progressively with instructions, inspect, and run.
- Static servers can load at startup, while template servers are created from per-client or per-session context.
- Presets, filters, and instruction aggregation keep the same runtime adaptable across clients and projects.
| Approach | Best for | Tradeoff |
| ---------------------- | ------------------------------------ | -------------------------------------------------------------------------------- |
| 1MCP CLI mode | Codex, Claude, agent loops | Requires a running 1mcp serve instance |
| 1MCP stdio proxy | Maximum compatibility across clients | Still depends on serve, and auth-capable HTTP clients have a more direct path |
| Direct streamable HTTP | MCP-native HTTP clients | No project context, no .1mcprc, and a broader tool surface is exposed directly |
| Custom proxying | One-off compatibility shims | You own discovery, filtering, auth, and runtime lifecycle |
Quick Start for Agent Users
This page is optimized for AI agent users. The 5-minute outcome is simple: start a real 1mcp serve runtime, connect your agent with cli-setup, then verify the instructions -> inspect -> run workflow.
Install 1MCP, add one upstream server, and start the runtime:
In a second shell, connect your agent to CLI mode:
Then verify the agent workflow:
If you want the full walkthrough (with success criteria and off-ramps), use the Quick Start guide.
For a given agent, choose one mode only. If you switch that agent to CLI mode, remove its old direct MCP configuration first.
Why CLI Mode Exists
CLI mode is the primary workflow for agent-style sessions. It keeps MCP as the backend protocol but narrows what the agent sees at each step:
- instructions explains the current runtime and recommended flow
- inspect lets the agent discover only the server or tool it needs
- run executes one selected tool after schema inspection
That gives agent loops a smaller working surface without giving up the unified runtime behind 1mcp serve.
Choose Another Path
Stdio Proxy
Use 1mcp proxy when you want the broadest client compatibility without giving up project context.
It is the recommended fallback after CLI mode because it:
- works with the stdio transport that most AI clients already support
- keeps project context through .1mcprc
- supports template MCP servers resolved from project or session context
- is easier to roll out with one-time global setup plus per-project config
Direct stdio mode is not the recommended path. It is mainly useful for debugging because 1MCP startup is slower than a thin standalone stdio setup.
Direct MCP Attachment
Direct MCP attachment is still supported for clients that want to talk to the aggregated runtime over streamable HTTP.
来源
awesome · https://github.com/1mcp-app/agent
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