What is Threadlink’s core functionality?
It connects AI conversations (via chat URLs) to local files using a simple JSON index, enabling later recall of context.
Threadlink MCP Server
@thrialectics
Basic information
About Threadlink MCP Server
Threadlink is a lightweight CLI tool that creates persistent links between AI conversations and your local files. Coming soon: Browser Extension, MCP Server, and Obsidian Plugin.
Threadlink MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryThreadlink MCP Server 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.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Threadlink?
Threadlink is a lightweight protocol and CLI for creating durable, inspectable links between ephemeral context (like AI conversations) and persistent files. It is designed for anyone who wants to trace how an idea became a file or how a file shaped downstream thinking.
How to use Threadlink?
Install via pip from GitHub (requires Python 3.8+ and Git). Use threadlink new or threadlink quick to create a thread, threadlink attach to link files, threadlink reverse to find the source conversation, and threadlink search to find threads by topic.
Key features of Threadlink
- Create durable links between conversations and files
- Reverse search: find source conversation from a file
- Search threads by tag or summary content
- Dual-mode tags: human-readable or auto-generated
- Local-first JSON index at
~/.threadlink/thread_index.json
Use cases of Threadlink
- Trace which AI conversation produced an old design file
- Find all threads discussing a topic like authentication
- Keep a new project’s context together by linking multiple files to one conversation
Frequently asked questions
How is Threadlink different from other tools?
Threadlink is not another PKM or AI wrapper; it is a protocol for context memory that respects your file system and privacy.
What are the runtime requirements?
Python 3.8+ and Git must be installed on your system.
Where does Threadlink store data?
Data is stored locally in `~/.threadlink/thread_index.json`.
Is Threadlink extensible?
Yes, it is designed as an open protocol and welcomes plugin development for other tools.
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