Session Logger MCP

Session Logger MCP

Enables saving LLM chat conversations to JSONL log files and querying them by session ID, user ID, keyword, or date range.

Category
Visit Server

README

Session Logger MCP

An MCP server that saves and queries LLM chat conversations to structured log files.

Features

  • save_conversation: Save the current conversation to a JSONL log file
  • query_logs: Search saved conversations by session ID, user ID, keyword, or date range
  • list_sessions: View all saved sessions with summary information

Installation

  1. Install dependencies:
npm install
  1. Start the MCP server:
npm start

The server will run on http://localhost:3000 by default. You can set a custom port with the PORT environment variable:

PORT=8080 npm start
  1. Configure in Claude Desktop or Claude Code:

Add to your MCP settings file:

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "session-logger": {
      "url": "http://localhost:3000/sse"
    }
  }
}

Claude Code (~/.config/claude-code/mcp_config.json):

{
  "mcpServers": {
    "session-logger": {
      "url": "http://localhost:3000/sse"
    }
  }
}

For remote access, replace localhost:3000 with your server's IP address or domain name.

  1. Restart Claude Desktop or Claude Code

Usage

Save a conversation

Simply ask Claude:

Save this conversation

Claude will use the save_conversation tool to log the entire conversation to a JSONL file.

Query logs

Search my logs for conversations about "python"
Show me all sessions from today

List sessions

List my recent chat sessions

Log Storage

Logs are stored in: ~/.session-logger-mcp/logs/

Format: YYYY-MM-DD.jsonl

Each log entry contains:

  • timestamp
  • session_id
  • user_id (if provided)
  • role (user/assistant)
  • message content
  • token count
  • model info
  • metadata

Log Rotation

Log files automatically rotate when they exceed 10MB.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured