Threadline
MCP server for Threadline — persistent memory and context layer for AI agents. inject() before your LLM call, update() after. Relevance-scored injection, grant-based access, user-owned context.
What is Threadline?
Threadline is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for threadline — persistent memory and context layer for ai agents. inject() before your llm call, update() after. relevance-scored injection, grant-based access, user-owned context.
MCP server for Threadline — persistent memory and context layer for AI agents. inject() before your LLM call, update() after. Relevance-scored injection, grant-based access, user-owned context.
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for Threadline — persistent memory and context la
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx threadlineConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Threadline
What is Threadline?
Threadline is a Model Context Protocol (MCP) server that mcp server for threadline — persistent memory and context layer for ai agents. inject() before your llm call, update() after. relevance-scored injection, grant-based access, user-owned context. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Threadline?
Follow the installation instructions on the Threadline GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Threadline?
Threadline works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Threadline free to use?
Yes, Threadline is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Add this to your claude_desktop_config.json or .cursor/mcp.json
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