Journaling MCP
J

Journaling MCP

An interactive journaling MCP server with support for emotional analysis and automatic saving.
2.5 points
10.5K

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

๐Ÿš€ MCP Journaling Server

An MCP (Message Control Protocol) server designed to handle interactive journaling sessions, supporting sentiment analysis and automatic conversation saving.

๐Ÿš€ Quick Start

This MCP server is tailored for managing interactive journaling sessions, offering features like sentiment analysis and automatic conversation archiving.

โœจ Features

  • Automated management of journaling sessions.
  • Conversations are saved in Markdown format.
  • Temporal analysis of conversations with timestamps.
  • Support for reading recent journal entries.
  • Log entries are organized chronologically.

๐Ÿ“ฆ Installation

From your MCP client, configure the dependencies using Claude Desktop:

    "mcpServers": {
        "journaling": {
            "command": "uv",
            "args": [
                "--directory",
                <repository_path>,
                "run",
                "server.py"
            ]
        }
    }

๐Ÿ“š Documentation

Configuration

The server can be configured via environment variables in the .env file:

  • JOURNAL_DIR: Directory to save journal files (Default: ~/Documents/journal).
  • FILENAME_PREFIX: Prefix for filenames (Default: "journal").
  • FILE_EXTENSION: Extension for journal files (Default: ".md"). If not specified, default values will be used.

File Structure

Journal entries are saved in the following structure:

[ JOURNAL_DIR ]/
โ”œโ”€โ”€ journal_2025-01-27.md
โ”œโ”€โ”€ journal_2025-01-26.md
โ””โ”€โ”€ ...

Entry Format

Each journal entry includes:

  1. Date header
  2. Timestamped conversation records
  3. Sentiment analysis
  4. Reflections and recurring themes

๐Ÿ“„ API Documentation

Tools

  • 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 a session summary.
  • get_recent_journals(): Retrieve the last 5 entries.

Resources

  • journals://recent: Endpoint to access recent journals.

Prompts

  • start_journaling: Initial prompt

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
15.9K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.1K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.6K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
18.5K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
17.5K
5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
16.6K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
10.7K
4 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
79.1K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
105.0K
4.7 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.6K
4.5 points