The MCP Journaling Server is a protocol server designed to manage interactive journaling sessions with the following capabilities:
Start new journaling sessions with automatic clearing of previous logs
Record user and assistant interactions with timestamps for tracking
Save journal entries in Markdown format with chronological organization
Generate and store summaries of journaling sessions
Retrieve the five most recent journal entries for review
Configure server settings via environment variables, such as save directory and file naming conventions
The server can be configured using environment variables in a .env file, allowing customization of journal directory, filename prefix, and file extension.
The server saves conversations in Markdown format, with journal entries stored as .md files that include formatted conversations with timestamps, emotional analysis, and reflections.
The server supports temporal analysis of conversations with timestamps, providing chronological organization of journal entries.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Journaling Server start a new journaling session about my day"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP (Message Control Protocol) server designed to handle interactive journaling sessions with support for emotional analysis and automatic conversation saving.
Automatic journaling session management
Conversation saving in Markdown format
Temporal analysis of conversations with timestamps
Support for reading recent journal entries
Chronological organization of journal entries
Related MCP server: Claude Conversation Memory System
Depend from your MCP client, on Claude Desktop:
"mcpServers": {
"journaling": {
"command": "uv",
"args": [
"--directory",
<REPOSITORY PATH>,
"run",
"server.py"
]
}
}The server can be configured using environment variables in .env file:
JOURNAL_DIR: Directory for saving journal files (default: ~/Documents/journal)
FILENAME_PREFIX: Prefix for file names (default: "journal")
FILE_EXTENSION: Journal file extension (default: ".md")
If not specified, default values will be used.
Journal entries are saved with the following structure:
[JOURNAL_DIR]/
├── journal_2025-01-27.md
├── journal_2025-01-26.md
└── ...Each journal entry includes:
Header with date
Conversation transcript with timestamps
Emotional analysis
Reflections and recurring themes
start_new_session(): Start a new journaling session
record_interaction(user_message, assistant_message): Record a message exchange
generate_session_summary(summary): Generate and save session summary
get_recent_journals(): Retrieve 5 most recent entries
journals://recent: Endpoint to access recent journal entries
start_journaling: Initial prompt
Generate a markdown summary of the journaling session.
Args: summary: The llm generated summay of the conversation
Returns: str: Confirmation message
Inputs: summary (required).
Record both the user's message and assistant's response.
Args: user_message: The user's message assistant_message: The assistant's response
Returns: str: Confirmation message
Inputs: user_message (required), assistant_message (required).
Start a new journaling session by clearing previous conversation log.
Returns: str: Welcome message with current save location
Inputs: no named parameters.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: start_new_session initiates a session, record_interaction logs individual exchanges, and generate_session_summary creates a final summary. The actions (start, record, generate) and targets (session, interaction, summary) are unambiguous.
All tools follow a consistent verb_noun pattern with snake_case: start_new_session, record_interaction, and generate_session_summary. The naming is predictable and readable across the set.
Three tools are reasonable for a journaling server, covering core operations (start, record, summarize). It might feel slightly thin if advanced features like editing or searching past entries are needed, but it's well-scoped for basic functionality.
The tools cover the essential lifecycle of a journaling session: starting, recording interactions, and summarizing. Minor gaps exist, such as no tools for retrieving or managing past sessions, but agents can work around this with the provided operations.
Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.
Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.
Persistent, verbatim, searchable memory for AI assistants — one memory across every MCP client.
Private persistent memory for Claude, ChatGPT & Gemini via MCP - semantic search, zero-code setup.
