What is the Model Context Protocol (MCP)?
MCP is a protocol that allows AI agents to discover and invoke tools from remote servers. This client connects to MCP servers and makes their tools available to a Voiceflow agent via Claude AI.
@voiceflow-gallagan
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"voiceflow-mcp-server-client": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-client",
"."
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Node.js client for the Model Context Protocol (MCP) that integrates with remote MCP servers to provide tools for your Voiceflow Agent.
Install Node.js 20+, clone the repository with submodules, install dependencies, build MCP servers, set up a .env file with required keys, configure servers-config.json, then run npm start to start the API server on the configured port.
MCP is a protocol that allows AI agents to discover and invoke tools from remote servers. This client connects to MCP servers and makes their tools available to a Voiceflow agent via Claude AI.
Node.js 20.x or higher and npm are required. For Google Calendar, OAuth 2.0 credentials from Google Cloud Console are needed. An Anthropic API key and a Brave Search API key are also required.
Set the `GCP_SAVED_TOKENS` and `GCP_OAUTH_KEYS` environment variables with the full JSON objects from the OAuth flow and client configuration file.
Dynamic server configuration via environment variables is currently only available for the Zapier server using `ZAPIER_MCP_URL`. Other servers are configured in `servers-config.json`.
Build the image with `docker build -t mcp-client .` and run with `docker run -p 3000:3000 --env-file .env --name mcp-client mcp-client`. A health check endpoint is available at `/health`.

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