Overview
What is MCP Journaling Server?
An MCP (Model Context Protocol) server that manages interactive journaling sessions with automatic conversation saving, emotional analysis, and chronological organization. It is designed for users who want to log conversations in Markdown format with timestamped entries and reflections.
How to use MCP Journaling Server?
Install by adding the server configuration to your MCP client (e.g., Claude Desktop) using the uv command and the repository path for server.py. Optionally configure the journal directory, filename prefix, and file extension via environment variables in a .env file. The server exposes tools, resources, and prompts for session management.
Key features of MCP Journaling Server
- Automatic journaling session management
- Conversation saving in Markdown format
- Temporal analysis with conversation timestamps
- Support for reading recent journal entries
- Chronological organization of journal entries
Use cases of MCP Journaling Server
- Logging personal or therapeutic conversations for later review
- Maintaining a searchable journal of assistant–user interactions
- Running emotional analysis on recorded dialogues
- Organizing daily or session-based journal entries by date
FAQ from MCP Journaling Server
How do I install the MCP Journaling Server?
Add a configuration block to your MCP client that runs uv --directory <REPOSITORY PATH> run server.py. For Claude Desktop, this is placed under mcpServers.
What configuration options are available?
Set JOURNAL_DIR, FILENAME_PREFIX, and FILE_EXTENSION in a .env file. Defaults are ~/Documents/journal, journal, and .md respectively.
What tools does the server provide?
It offers start_new_session(), record_interaction(), generate_session_summary(), and get_recent_journals().
How are journal entries saved?
Entries are saved as Markdown files named with the filename prefix and date (e.g., journal_2025-01-27.md) inside the configured journal directory.
Can I read recent entries?
Yes, use the get_recent_journals() tool or access the journals://recent resource to retrieve the five most recent journal entries.
