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@journey-log/mcp-server

v1.1.0

Published

MCP server for Journey Log - Document your AI-assisted coding journeys

Downloads

5

Readme

Journey Log MCP Server

Connect your AI coding assistants (Claude Desktop, Cursor, VS Code) to Journey Log and automatically document your development journey.

What is Journey Log?

Journey Log Compass is a platform that helps developers document their AI-assisted coding journeys. With this MCP server, you can:

  • 📝 Create documentation directly from your AI conversations
  • 💾 Save code snippets and debugging sessions
  • 🔄 Capture entire AI conversations with context
  • 🏷️ Organize with tags and searchable content
  • 🚀 Build a knowledge base from your development work

Installation

npm install -g @journey-log/mcp-server

Quick Start

1. Get your API Key

  1. Sign in to Journey Log
  2. Go to Settings → API Keys
  3. Create a new API key
  4. Copy the key (you'll only see it once!)

2. Configure Your AI Tool

Simply run this command in your terminal:

claude mcp add journey-log -s user -e JOURNEY_LOG_API_KEY="your_key_here" -- npx -y @journey-log/mcp-server

Windows users (not WSL):

claude mcp add journey-log -s user -e JOURNEY_LOG_API_KEY="your_key_here" -- cmd /c npx -y @journey-log/mcp-server

That's it! Type /mcp in Claude Code to verify it's connected.

Add to your Claude Desktop configuration:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "journey-log": {
      "command": "npx",
      "args": ["-y", "@journey-log/mcp-server"],
      "env": {
        "JOURNEY_LOG_API_KEY": "jl_your-api-key-here"
      }
    }
  }
}

Restart Claude Desktop after saving.

Add to your Cursor settings:

{
  "mcp.servers": {
    "journey-log": {
      "command": "npx",
      "args": ["-y", "@journey-log/mcp-server"],
      "env": {
        "JOURNEY_LOG_API_KEY": "jl_your-api-key-here"
      }
    }
  }
}

Restart Cursor after saving.

Available Commands

Once configured, you can use these commands in your AI conversations:

Create a new document

"Create a new Journey Log document about implementing authentication"

Add content to a document

"Add this code snippet to my authentication document"

Capture AI conversations

"Save this entire debugging session to my Journey Log"

List your documents

"Show me my recent Journey Log documents"

Get a specific document

"Get my document about React hooks"

Example Usage

In Claude Code:

You: "I need to document this React hooks implementation. Create a journey log."

Claude: "I'll create a new Journey Log document for your React hooks implementation..." [Creates document with title "React Hooks Implementation"]

You: "Perfect! Now save our entire conversation about useEffect optimization."

Claude: "I'll capture our conversation about useEffect optimization to your document..." [Saves the full conversation with code examples]

In Claude Desktop:

You: "I'm working on a new feature for user authentication. Create a Journey Log document to track this."

Claude: "I'll create a new Journey Log document for your authentication feature..." [Creates document automatically]

You: "Great! Now add the JWT implementation code we just discussed."

Claude: "I'll add the JWT implementation to your document..." [Adds code block automatically]

In Cursor:

While coding, you can ask Cursor to:

  • Document bug fixes: "Save this bug fix to Journey Log with the solution"
  • Track learning: "Create a Journey Log entry about what I learned with React hooks"
  • Save snippets: "Add this utility function to my Journey Log snippets document"

Tool Reference

create_document

Create a new Journey Log document.

Parameters:

  • title (required): Document title
  • content (optional): Initial content
  • tags (optional): Array of tags for organization

add_block

Add content blocks to existing documents.

Parameters:

  • document_id (required): Target document ID
  • type (required): Block type (text, code, heading, list, checkbox, ai_conversation)
  • content (required): Block content
  • metadata (optional): Additional metadata (e.g., language for code blocks)

capture_conversation

Save AI conversations with full context.

Parameters:

  • document_id (required): Target document ID
  • conversation (required): Array of messages with role and content
  • context (optional): Additional context
  • summary (optional): Conversation summary

list_documents

List your Journey Log documents.

Parameters:

  • limit (optional): Maximum documents to return (default: 50)
  • tags (optional): Filter by tags
  • search (optional): Search in titles

get_document

Retrieve a specific document with all its content.

Parameters:

  • document_id (required): Document ID to retrieve

Troubleshooting

Claude Code Specific

Check MCP status:

# In Claude Code, type:
/mcp

View all MCP servers:

claude mcp list

Remove and reinstall:

claude mcp remove journey-log
claude mcp add journey-log -s user -e JOURNEY_LOG_API_KEY="your_key" -- npx -y @journey-log/mcp-server

"API key not found" error

Make sure JOURNEY_LOG_API_KEY is set correctly:

  • Claude Code: Re-run the claude mcp add command with your key
  • Claude Desktop/Cursor: Check your configuration JSON

"Tool not available" error

  1. Verify the MCP server is properly configured
  2. Restart the application
  3. Check if Journey Log appears when you ask "What MCP tools are available?"
  4. For Claude Code, ensure the server shows up in claude mcp list

Connection errors

  • Check your internet connection
  • Verify your API key is valid at https://devlog.design/settings/api
  • Ensure you haven't exceeded rate limits
  • Try removing and re-adding the MCP server

Development

To contribute or modify the MCP server:

git clone https://github.com/journey-log/mcp-server
cd mcp-server
npm install
npm link

Security

  • API keys are stored locally in your MCP configuration
  • All communication uses HTTPS
  • Keys are never exposed in documents or logs
  • Rate limiting prevents abuse

Support

License

MIT License - see LICENSE file for details.


Built with ❤️ by the Journey Log team. Happy documenting!