MCP Tool Chainer

@thirdstrandstudio

Basic information

About MCP Tool Chainer

No overview available yet

#mcp-tool-chainer#tool-chaining#mcp-server

MCP Tool Chainer config

Add this server to your MCP-compatible client using the configuration below.

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

MCP Tool Chainer tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Mcp_tool_chainer?

An MCP (Model Context Protocol) server that chains calls to other MCP tools, allowing sequential tool execution with result passing to reduce token usage. It was designed to solve issue #215 of the MCP specification.

How to use Mcp_tool_chainer?

Install via npm (npm install -g @thirdstrandstudio/mcp-tool-chainer) or build from source. Add it as the last MCP server in your claude_desktop_config.json or mcp.json using npx -y @thirdstrandstudio/mcp-tool-chainer (or the built path). Then invoke the mcp_chain tool with a mcpPath array of tool calls, using CHAIN_RESULT to pass intermediate results.

Key features of Mcp_tool_chainer

Chains multiple MCP tools together in sequence
Passes results from one tool to another using CHAIN_RESULT placeholder
Automatically discovers tools from configured MCP servers
Minimal token usage compared to individual tool calls
Provides three MCP tools: mcp_chain, chainable_tools, and discover_tools

Use cases of Mcp_tool_chainer

Fetch a webpage and then extract specific content with XPath in a single call
Build multi-step data processing pipelines without sending large intermediate results back to the LLM
Simplify complex workflows that require sequential tool interactions
Reduce latency by minimizing round-trips between the LLM and tools

Frequently asked questions

What is the purpose of Mcp_tool_chainer?

It chains calls to other MCP tools, passing results between them sequentially to reduce token usage and round-trips.

What are the prerequisites for using Mcp_tool_chainer?

Node.js v16 or later and npm or yarn.

How do I install Mcp_tool_chainer?

Install globally via `npm install -g @thirdstrandstudio/mcp-tool-chainer` or clone the repository and build from source with `npm install && npm run build`.

How do I configure Mcp_tool_chainer for use with Claude Desktop or Cursor?

Add an entry to your `claude_desktop_config.json` or `mcp.json` with command `npx` and args `["-

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