Thread MCP
T

Thread MCP

Thread MCP is a Jupyter notebook - style tool for LLM conversation management. It supports local and remote storage, intelligent search, conversation update, and resume functions, helping users share and continue conversations across different LLM clients.
2 points
4.2K

What is Thread MCP?

Thread MCP is like a smart notebook designed specifically for AI conversations. It can help you save important AI conversations, add titles, tags, and summaries to the conversations for easy future search and continuation. Whether you are using Claude, ChatGPT, or other AI assistants, Thread MCP can uniformly manage your conversation history.

How to use Thread MCP?

Using Thread MCP is very simple: 1) Tell the assistant to save the current conversation during the AI conversation; 2) Give the conversation a title and tags; 3) Search for and resume the conversation when needed to continue chatting. It supports local storage (on your computer) and remote storage (on your own server).

Applicable Scenarios

Thread MCP is particularly suitable for the following scenarios: long - term project discussions (such as software development, academic research), complex problems that require multiple sessions, team collaboration to share conversations, personal knowledge base construction, and synchronizing AI conversations between different devices.

Main Features

Unified Conversation Saving
Save AI conversations in Markdown or JSON format, support local storage and remote server synchronization to ensure the security and reliability of conversations.
Intelligent Search
Search for conversations by ID, title, tags, or full - text search, support relevance scoring to quickly locate the required content.
Easy Conversation Update
Append new messages to existing conversations by ID or title, automatically deduplicate without manually tracking conversation IDs.
Continue Conversation
Load previous conversations and optimize the context so that the AI assistant can seamlessly continue the previous discussion.
Rich Metadata
Support information such as timestamps, tags, summaries, source applications, etc., to facilitate the classification and management of conversations.
Privacy Protection
Local storage is the default. Remote storage requires explicit user configuration. There is no data collection or third - party sharing.
Advantages
Cross - platform compatibility: Supports multiple AI clients such as Claude Desktop and VS Code.
Flexible storage: Local storage ensures privacy, and remote storage supports team collaboration.
Intelligent management: Automatic deduplication, relevance search, and intelligent conversation continuation.
Easy to use: Save and resume conversations with natural language instructions.
Open - source and free: Under the GPL - 3.0 license, it can be freely used and modified.
Limitations
Requires configuration: Simple configuration file settings are required for the first use.
Depends on AI clients: Requires an AI assistant that supports the MCP protocol.
Remote storage needs to be self - built: Remote functions require users to provide their own servers.
Learning curve: Understanding basic configuration concepts is required for advanced features.

How to Use

Install Thread MCP
Install the Thread MCP package via npm or build from the source code.
Configure the AI Client
Add the Thread MCP server configuration in Claude Desktop or VS Code.
Start Using
Use natural language instructions directly in the AI conversation to save, search, or continue the conversation.
Manage Conversations
Use various tool commands to manage your conversation library, such as updating, deleting, or exporting conversations.

Usage Examples

Case 1: Save and Continue a Project Discussion
You are discussing a software development project with an AI assistant and need to interrupt but hope to continue tomorrow.
Case 2: Search for Historical Conversations
You need to find a previous discussion about database migration but forget the specific title.
Case 3: Team Collaboration to Share Conversations
Your team needs to share a technical solution discussed with the AI to ensure that everyone sees the same context.
Case 4: Build a Personal Knowledge Base
You want to organize important AI conversations into a searchable knowledge base.

Frequently Asked Questions

Will Thread MCP collect my conversation data?
Which AI clients are supported?
How to synchronize conversations between different devices?
Is there a limit to the number of saved conversations?
What if I forget the conversation title?
Is it possible to export conversations?

Related Resources

GitHub Repository
Source code and the latest version of Thread MCP
Model Context Protocol Documentation
Official documentation of the MCP protocol
Claude Desktop Configuration Guide
How to configure Claude Desktop to use the MCP server
Demo Video
Function demonstration of Thread MCP

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "thread-mcp": {
      "command": "npx",
      "args": ["thread-mcp"]
    }
  }
}

{
  "mcpServers": {
    "thread-mcp": {
      "command": "node",
      "args": ["/path/to/thread-mcp/dist/index.js"]
    }
  }
}

{
  "mcpServers": {
    "thread-mcp": {
      "command": "npx",
      "args": ["thread-mcp"],
      "env": {
        "THREAD_MCP_STORAGE_DIR": "./thread-mcp"
      }
    }
  }
}

{
  "mcpServers": {
    "thread-mcp": {
      "command": "npx",
      "args": ["thread-mcp"],
      "env": {
        "THREAD_MCP_STORAGE_DIR": "./threads",
        "THREAD_MCP_FORMAT": "markdown",
        "THREAD_MCP_DEFAULT_SOURCE": "local",
        "THREAD_MCP_REMOTE_URL": "https://api.example.com",
        "THREAD_MCP_API_KEY": "your-api-key",
        "THREAD_MCP_REMOTE_HEADERS": "{\"X-Custom-Header\": \"value\"}"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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