Chronicle MCP is a high-performance, universal local chat history archive connector designed specifically for Model Context Protocol (MCP) clients like Cursor, Claude Code, and daily development environments. Built natively in Python, it serves as an intelligent local storage and indexing layer that bridges your historical workspace transcripts directly into your active LLM context window.
The tool addresses a critical bottleneck in AI-assisted engineering: context window bloat. By locally cleaning, formatting, caching, and dynamically chunking imported historical data, Chronicle MCP reduces context token usage by up to 40% while keeping your assistant fully informed of past decisions, codebase iterations, and project parameters.
Server Config
{
"mcpServers": {
"chronicle-mcp": {
"command": "uvx",
"args": [
"chronicle-mcp-server"
]
}
}
}