MCP ExplorerExplorer

Mcp Tool Chainer

@JayArrowzon 9 months ago
38 MIT
FreeCommunity
AI Systems
MCP Tool Chainer enables sequential execution of MCP tools, optimizing token usage.

Overview

What is Mcp Tool Chainer

MCP Tool Chainer is an MCP server designed to chain calls to multiple MCP tools, allowing for sequential execution and result passing to reduce token usage.

Use cases

Use cases include automating workflows that involve multiple tools, processing data through a series of transformations, and integrating disparate systems for streamlined operations.

How to use

To use MCP Tool Chainer, install it via npm or from source. Configure your MCP client to ensure it runs last in the sequence to avoid unnecessary tool discovery.

Key features

Key features include the ability to chain multiple MCP tools, pass results between tools using the CHAIN_RESULT placeholder, filter data with JsonPath, automatic tool discovery, and minimal token usage compared to individual calls.

Where to use

MCP Tool Chainer can be used in various fields that require efficient execution of multiple MCP tools, such as data processing, automation, and integration of different services.

Content

MCP Tool Chainer

Visit Third Strand Studio

An MCP (Model Context Protocol) server that chains calls to other MCP tools, reducing token usage by allowing sequential tool execution with result passing.
Designed to solve https://github.com/modelcontextprotocol/specification/issues/215

image

Step function like JSON paths:

image

Features

  • Chain multiple MCP tools together in sequence
  • Pass results from one tool as input to another tool using CHAIN_RESULT placeholder
  • Filter and extract specific data using JsonPath with inputPath and outputPath parameters
  • Automatic tool discovery from configured MCP servers
  • Minimal token usage compared to individual tool calls

Tools

This server implements the following MCP tools:

  1. mcp_chain - Chain together multiple MCP servers
  2. chainable_tools - Discover tools from all MCP servers so the mcp_chain tool can be used
  3. discover_tools - Rediscover tools from all MCP servers

Installation

Prerequisites

  • Node.js (v16 or later)
  • npm

Installing from npm

# Install
npm install @thirdstrandstudio/mcp-tool-chainer

# Or use with npx directly
npx -y @thirdstrandstudio/mcp-tool-chainer

Installing from source

# Clone the repository
git clone https://github.com/thirdstrandstudio/mcp-tool-chainer.git
cd mcp-tool-chainer

# Install dependencies
npm install

# Build the package
npm run build

Usage with Claude Desktop, Cursor etc

ENSURE IT IS THE LAST MCP TO RUN OTHERWISE IT WILL HAVE TO RUN DISCOVERY AGAIN

Add the following to your claude_desktop_config.json or mcp.json:

If installed from npm globally

{
  "mcpServers": {
    "mcp_tool_chainer": {
      "command": "npx",
      "args": [
        "-y",
        "@thirdstrandstudio/mcp-tool-chainer",
        "`claude_desktop_config.json` or `mcp.json`"
      ],
      "env": {}
    }
  }
}

If installed from source

{
  "mcpServers": {
    "mcp_tool_chainer": {
      "command": "node",
      "args": [
        "/path/to/mcp-tool-chainer/dist/index.js",
        "`claude_desktop_config.json` or `mcp.json`"
      ],
      "env": {}
    }
  }
}

Replace /path/to/mcp-tool-chainer with the actual path to your repository.

image

Examples

Chain Browser and XPath Tools

// Fetch a webpage and then extract specific content with XPath
const result = await callTool("mcp_chain", { 
  "mcpPath": [
    {
      "toolName": "mcp_browser_mcp_fetch_url",
      "toolArgs": "{\"url\": \"https://example.com\"}"
    },
    {
      "toolName": "mcp_xpath_xpath",
      "toolArgs": "{\"xml\": CHAIN_RESULT, \"query\": \"//h1\"}"
    }
  ]
});

Using JsonPath with InputPath and OutputPath

// Fetch a webpage, extract specific content with XPath, then extract part of the result
const result = await callTool("mcp_chain", { 
  "mcpPath": [
    {
      "toolName": "mcp_fetch_fetch",
      "toolArgs": "{\"url\": \"https://api.example.com/data\"}"
    },
    {
      "toolName": "web_search",
      "toolArgs": "{\"search_term\": CHAIN_RESULT}",
      "inputPath": "$.results[0].title",     // Extract only the first result's title from previous output
      "outputPath": "$.snippets[*].text"     // Extract only the text snippets from the search results
    },
    {
      "toolName": "another_tool",
      "toolArgs": "{\"content\": CHAIN_RESULT}"
    }
  ]
});

JsonPath Support

MCP Tool Chainer now supports AWS Step Functions-style InputPath and OutputPath features:

  • inputPath: JsonPath expression to extract specific portions of the input before passing to a tool
  • outputPath: JsonPath expression to extract specific portions of the output before passing to the next tool

These features work only when the input/output is valid JSON. If JsonPath extraction fails, the original input/output is used.

For JsonPath syntax reference, see JsonPath Syntax.

Benefits

  • Reduced Token Usage: By chaining tools together, you avoid sending large intermediate results back to the LLM
  • Simplified Workflows: Create complex data processing pipelines with a single tool call
  • Improved Performance: Reduce latency by minimizing round-trips between the LLM and tools
  • Precise Data Flow Control: Extract only the data you need with JsonPath expressions

Development

# Install dependencies
npm install

# Start the server
node dist/index.js config.json

# List available tools
node dist/index.js config.json discover_tools

License

This MCP server is licensed under the MIT License.


Created by Third Strand Studio

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