Tool Chainer
Chains multiple MCP tools together in sequence, passing results between tools without sending large intermediate data back to the
MCP Tool Chainer is a server that chains multiple MCP tools together in sequence, reducing token usage by allowing sequential tool execution with result passing. Developed by Third Strand Studio, it solves the challenge of executing complex workflows without sending large intermediate results back to the LLM. The implementation features JsonPath support for precise data extraction, automatic tool discovery from configured MCP servers, and a simple interface for defining tool chains where results from one tool can be passed as input to another using the CHAIN_RESULT placeholder.
Source
Repository: https://github.com/thirdstrandstudio/mcp-tool-chainer
Maintain Tool Chainer?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[Tool Chainer on getagentictools](https://getagentictools.com/mcp/thirdstrandstudio-mcp-tool-chainer?ref=badge) Related mcp
MLB Stats API Integrates with MLB Stats API and pybaseball to provide real-time baseball statistics, game schedules, player data including saber
WeChat Channel (dcatfly) Bidirectional messaging between WeChat and Claude Code via Channel plugin.
AllVoiceLab Integrates with AllVoiceLab's API to provide advanced voice and audio processing capabilities including text-to-speech conversion,
XiaoHongShu (Little Red Book) Integrates with XiaoHongShu (Little Red Book) through browser automation to enable authentication, content discovery, social inter
WeChat Local History Reads local WeChat 4.x databases on macOS and Windows to expose chat history, contacts, media, and Moments as structured data.
YouTube Transcript Fetches and analyzes YouTube video transcripts by accepting URLs or video IDs and returning formatted transcript data with timesta