About MCP Journaling Server
MCP Journaling Server manages interactive journaling sessions and saves conversations as dated Markdown entries. It is intended for journaling with session summaries, emotional analysis, and access to recent entries.
Key features
- 01Automatic session management
- 02Conversation transcripts saved as Markdown
- 03Timestamped conversation analysis
- 04Access to recent journal entries
- 05Chronological journal organization
Use cases
- 01Save an interactive journaling session
- 02Review recent journal entries
- 03Read conversations in chronological order
MCP support
Exposes session-management and journal-reading tools, a resource for recent entries, and a journaling prompt to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Journaling Server
An MCP (Message Control Protocol) server designed to handle interactive journaling sessions with support for emotional analysis and automatic conversation saving.
Features
- 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
Installation
Depend from your MCP client, on Claude Desktop:
"mcpServers": {
"journaling": {
"command": "uv",
"args": [
"--directory",
<REPOSITORY PATH>,
"run",
"server.py"
]
}
}
Configuration
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.
File Structure
Journal entries are saved with the following structure:
[JOURNAL_DIR]/
├── journal_2025-01-27.md
├── journal_2025-01-26.md
└── ...
Entry Format
Each journal entry includes:
- Header with date
- Conversation transcript with timestamps
- Emotional analysis
- Reflections and recurring themes
API
Tools
start_new_session(): Start a new journaling sessionrecord_interaction(user_message, assistant_message): Record a message exchangegenerate_session_summary(summary): Generate and save session summaryget_recent_journals(): Retrieve 5 most recent entries
Resources
journals://recent: Endpoint to access recent journal entries
Prompts
start_journaling: Initial prompt
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.