juergenkoller-software/distill-mcp
by Various
Open-source MCP server bridge for Distill — let Claude/Cursor rename your files based on content (AI: Claude/OpenAI/Gemini/Ollama/Apple).
MCP
juergenkoller-software/distill-mcp
Added 11 June 2026
Overview
An open-source MCP server bridge for Distill that enables Claude or Cursor to rename files based on their content. It supports multiple AI models including Claude, OpenAI, Gemini, Ollama, and Apple. The tool is written in Swift and available on GitHub.
Best for
Best for
Developers who want AI-assisted file renaming within Cursor or Claude environments
Use cases
- Renaming files by content analysis using AI models
- Integrating AI file renaming into Cursor or Claude workflows
- Automating file organization based on semantic content
How to use
Tools exposed
rename_filessuggest_namesrevert_renameget_rename_historywatch_folderapp_statusset_providerget_rulesset_rules
Tested with
Claude Desktop, Claude Code, Cursor, ChatGPT
Example client config
{\n "mcpServers": {\n "distill": {\n "command": "/path/to/DistillMCP",\n "env": {\n "DISTILL_PORT": "22200",\n "DISTILL_TOKEN": "your-token-here"\n }\n }\n }\n} Notes
An open-source MCP server bridge for Distill that enables Claude or Cursor to rename files based on their content. It supports multiple AI models including Claude, OpenAI, Gemini, Ollama, and Apple. The tool is written in Swift and available on GitHub.
0 stars on GitHub. Last updated 2026-06-08. Licensed MIT.
Use cases
- Renaming files by content analysis using AI models
- Integrating AI file renaming into Cursor or Claude workflows
- Automating file organization based on semantic content
Pros
- Supports multiple AI providers (Claude, OpenAI, Gemini, Ollama, Apple)
- Open-source and customizable
- Integrates directly into Cursor and Claude
Cons
- Zero stars on GitHub indicates limited community adoption
- Limited documentation or support due to low visibility
- Requires setup of an MCP server and API keys for AI models
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple AI providers (Claude, OpenAI, Gemini, Ollama, Apple)
- Open-source and customizable
- Integrates directly into Cursor and Claude
Cons
- Zero stars on GitHub indicates limited community adoption
- Limited documentation or support due to low visibility
- Requires setup of an MCP server and API keys for AI models
Pairs with
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