1MCP - One MCP Server for All
@1mcp-app
About 1MCP - One MCP Server for All
A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"1mcp": {
"type": "http",
"url": "http://127.0.0.1:3050/mcp?app=cursor"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is 1MCP - One MCP Server for All?
1MCP is a unified MCP runtime that aggregates multiple MCP servers into one process. It addresses configuration sprawl and agent sprawl by providing a single endpoint for clients and a CLI mode for progressive tool discovery, designed for users of Codex, Claude, Cursor, and similar tool-using agents.
How to use 1MCP - One MCP Server for All?
Install globally with npm install -g @1mcp/agent, add upstream servers using 1mcp mcp add, then start the runtime with 1mcp serve. For agent-style workflows, run 1mcp cli-setup --codex (or --claude) to connect the agent to CLI mode, then use 1mcp instructions, 1mcp inspect <server>, and 1mcp run <server>/<tool> --args '<json>' for progressive discovery and execution. Alternatively, use 1mcp proxy for stdio compatibility or direct streamable HTTP for native MCP clients.
Key features of 1MCP - One MCP Server for All
- Unified runtime for many MCP servers behind one
serveprocess - CLI mode with progressive discovery:
instructions,inspect,run - Template servers for per-client or per-session resolution
- Async and lazy loading for faster startup and narrower exposure
- Instruction aggregation across static and template servers
- Presets, filters, and preset change notifications
Use cases of 1MCP - One MCP Server for All
- Give a coding agent one stable runtime with a smaller working surface
- Share the same MCP inventory across Cursor, Claude Code, Codex, and internal tooling
- Expose context-specific template servers per repo, branch, or session
- Centralize auth, filtering, presets, and runtime lifecycle instead of ad hoc scripts
FAQ from 1MCP - One MCP Server for All
What is CLI mode and when should I use it?
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 using instructions, inspect, and run commands, giving agent loops a smaller working surface.
How does stdio proxy compare to CLI mode?
1mcp proxy provides maximum client compatibility without giving up project context, using the stdio transport that most AI clients already support. It is the recommended fallback after CLI mode, while direct stdio mode is mainly for debugging.
What are template servers?
Template servers are MCP servers materialized from per-client or per-session context, as opposed to static servers loaded at startup. They allow context-specific resolution per repo, branch, or session.
What runtime dependencies are required?
1MCP requires Node.js. Install the package globally via npm: npm install -g @1mcp/agent.
Can I connect a native MCP HTTP client directly?
Yes. Direct streamable HTTP MCP access is supported for clients that already speak MCP natively and do not need project context, using a URL like http://127.0.0.1:3050/mcp?app=cursor.
More AI & Agents MCP servers
MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages
utensilsMCP-NixOS - Model Context Protocol Server for NixOS resources
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。
🔎 GPT Researcher
assafelovicAn autonomous agent that conducts deep research on any data using any LLM providers
Mcp Agent
lastmile-aiBuild effective agents using Model Context Protocol and simple workflow patterns
Comments