Which integrations are available for this server?

Functions as a Node.js module that connects to MCP Bone service, facilitating tool registration, retrieval, and execution through the MCP Bone platform. Supports XML-style prompt text parsing, allowing conversion from XML-formatted LLM completions to structured tool calls for function execution.

How do I use MCP Bone?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Bone get the JSON tools for my registered servers" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Server of MCP Bone

What's MCP Bone?

MCP Bone is a online service that provides a set of tools for MCP. Home Page On MCP Bone, you can register other MCP Servers, get function calling tools JSON or XML-style prompt text and later call tools easily. Read Usage

This package is a Node.js module that provides a MCP Server connect to MCP Bone. You can use it to connect to MCP Bone and get the tools JSON.

Also, you can use this package as a parser SDK to parse completion text to tool_calls.

Related MCP server: MCP JSON-RPC Server

Setup

Access Token

Get an Access Token:

go to https://store.tangshuang.net?scope=mcp-bone
register an account and log in
go to https://store.tangshuang.net/product/58/entry?scope=mcp-bone to create a new App
go to the App's Certificate menu page to create a new certificate
copy the Access Token

NPX

{ "mcpServers": { "mcp-bone": { "command": "npx", "args": [ "-y", "mcp-bone" ], "env": { "MCP_BONE_ACCESS_TOKEN": "" } } } }

Parser

import { extractAndParseToolsToJson, extractAndParseToolsXmlToJson, extractAndParseToolsTextToJson, } from 'mcp-bone'; const tools = extractAndParseToolsTextToJson(text); const tools = extractAndParseToolsXmlToJson(text); const tools = extractAndParseToolsToJson(text);

These tools are used after LLM completions whic does not support function calling to parse the text into tools JSON. If the result is an empty array, it means that the LLM did not generate any tools.