mcp-http-bridge

mcp-http-bridge

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

Category
访问服务器

README

mcp-http-bridge

Serve a stdio MCP server over streamable HTTP.

WARNING: this bridge can turn local-only tools into network-reachable remote code execution.

Shell-level MCP servers like shell-0 ship tools (terminal, python_exec, js_exec, fs) that run UNSANDBOXED, with your full user privileges. Put this bridge in front of one and enable those tools and anyone who can reach the port can run commands and read/write files on your machine. There is no undo.

Rules of the road: keep the tool filter tight, stay bound to 127.0.0.1 unless you truly mean otherwise, and never serve execution tools on 0.0.0.0 without authentication and TLS in front (a reverse proxy). The bridge does no auth of its own. Its auto-generated default filter disables every execution and escape tool on purpose, leave it that way unless you know exactly what you are opening up.

Some MCP clients (llama.cpp's web UI, OpenWebUI, anything that speaks MCP over HTTP instead of spawning a stdio subprocess) want an HTTP endpoint. This bridge takes an MCP server that follows the ToolRegistry convention and re-serves its tools over MCP streamable HTTP at /mcp, gated by a per-tool allow/deny filter.

It was built to sit in front of shell-0, but works with any server that exposes a module-level _TOOL_REGISTRY (get_schemas(), get_dispatch_map(), keys()).

Security, in more detail

Binding to 0.0.0.0 exposes whatever the filter enables to anyone who can reach the port. For a server like shell-0 that means:

  • enabling terminal, python_exec, or js_exec over HTTP = remote code execution for the whole network.
  • enabling fs = arbitrary read/write of your filesystem.

So: keep the filter tight, stay on 127.0.0.1 unless you genuinely mean to expose it, and put authentication and TLS in front of it (a reverse proxy) before exposing anything powerful. The bridge itself does no auth. The default filter it generates disables every execution/escape tool for exactly this reason.

How it works

On startup the bridge imports your target server module, reads its _TOOL_REGISTRY, and stands up its own MCP server whose list_tools/call_tool handlers apply the filter and then dispatch into the target's registry. If the target exposes _truncate_output / _sanitize_surrogates (shell-0 does), those are reused so HTTP responses get the same output hygiene as stdio. Transport is the official StreamableHTTPSessionManager behind Starlette + uvicorn.

Rebuilding the server (instead of just wrapping the target's) is deliberate: it lets the bridge enforce the filter even when the underlying server does not, so a stdio server that exposes everything locally can still be served selectively over HTTP.

Install

Requires Python 3.10+.

pip install -r requirements.txt

Run it in front of shell-0

Clone shell-0 next to wherever you like, then run the bridge from inside the shell-0 directory so import server resolves:

cd /path/to/shell-0
python /path/to/mcp-http-bridge/bridge.py

Point your HTTP MCP client at:

http://127.0.0.1:8818/mcp

On first run the bridge writes an http_tools.json next to you with a safe default (execution tools off, fs on). Edit it to choose what is reachable over HTTP, then restart. See http_tools.example.json for the shape.

To expose on the LAN (read the security note again first):

set MCP_HOST=0.0.0.0
python /path/to/mcp-http-bridge/bridge.py

Configuration

Environment variables:

  • MCP_SERVER_MODULE - module to import for the registry (default: server).
  • MCP_HOST - bind address (default: 127.0.0.1; 0.0.0.0 for LAN).
  • MCP_PORT - port (default: 8818).
  • HTTP_TOOLS_CONFIG - path to the tool filter json (default: ./http_tools.json).
  • MCP_DEBUG - true for stderr debug logging.

The filter file is {"tool_name": 1 | 0}. Missing tools are treated as disabled.

License

MIT. See LICENSE.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选