The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the McpHub listing page.
MCP bridge -- folds the capabilities (tools / prompts / resources) of multiple MCP servers into 4 fixed tools, exposed uniformly to AI tools.
Configure in your AI tool's mcp.json:
Client connects to http://localhost:8080/ (Streamable HTTP).
| Option | Alias | Description | Default |
|---|---|---|---|
--config | -c | Path to the MCP configuration file | Auto-discovered |
--http | - | Use HTTP (Streamable HTTP) transport | stdio |
--port | - | HTTP mode listening port | 8080 |
--workspace | -w | Workspace folder for ${workspaceFolder} substitution | Current directory |
--verbose | - | Output verbose diagnostic logs to stderr | Off |
| Tool | 说明 |
|---|---|
list_mcp_capabilities | 列出所有上游 MCP server 的可用能力(tools/prompts/resources),可选 kind 过滤 |
describe_mcp_capability | 查询某个能力的完整调用方式(参数 schema 等),输入限定名 serverName.capabilityName |
call_mcp_capability | 实际调用某个能力,传入限定名 + arguments |
兼容 VS Code 族(servers 键)和 Claude/Cursor 族(mcpServers 键),自动推断 transport 类型:
支持变量替换:
${workspaceFolder} — 工作区目录${env:VAR_NAME} — 环境变量配置文件发现顺序(未指定 --config 时):
--config 显式指定mcp.json.mcp.json.vscode/mcp.jsonclaude_desktop_config.json详见 设计文档。