dev-diary-mcp
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., "@dev-diary-mcplog that I fixed the login bug"
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.
dev-diary-mcp
A Model Context Protocol server that turns a plain folder of Markdown files into a searchable work journal any LLM can read and write.
No database. No app. Your work log is just diary/2026-08-22.md — human-readable, diffable, git-friendly — and your AI assistant gets four tools to use it:
Tool | What it does |
| Appends a timestamped entry (with tags) to today's file |
| Full-text search across all entries, optional tag filter |
| Everything logged on a given day |
| Totals, active days, current streak, top tags |
Why
"Log what I did today" is the task everyone abandons after a week. But your AI assistant already knows what you did — it helped you do it. Give it tools against a Markdown folder and keeping a work journal becomes a byproduct of working with AI.
Related MCP server: Stoa
Run the demo
The repo ships a real MCP client that drives the server end-to-end (handshake → listTools → tool calls), so you can verify everything without an editor:
npm install
npm run build
npm run demoOutput:
=== 1. listTools ===
• log_work — Append a timestamped entry...
• search_diary — Full-text search across every entry...
• daily_summary — Everything logged on a given date...
• stats — Totals, active days, streaks, top tags...
=== 2. log_work x3 ===
Logged to 2026-08-22.md at 19:05 (tags: bugfix, websocket)
...
=== 5. stats ===
📊 1 entries across 2 day(s)
🔥 Streak: 2 consecutive day(s)
🏷️ Top tags: #bugfix (1), #websocket (1)Then look at diary/*.md — that's your data. Plain Markdown.
Connect it to your editor / agent
Claude Desktop / Cursor / any MCP client
{
"mcpServers": {
"dev-diary": {
"command": "node",
"args": ["/absolute/path/to/dev-diary-mcp/dist/server.js"],
"env": { "DIARY_DIR": "/absolute/path/to/your/diary" }
}
}
}Hermes Agent
hermes mcp add dev-diary --command node --args /path/to/dist/server.jsInspect it interactively
npx @modelcontextprotocol/inspector node dist/server.jsThe storage format
One file per day (diary/YYYY-MM-DD.md), entries as H2 headings with embedded tags:
## 14:32 #bugfix #websocket
Fixed the race condition in the WebSocket broadcast queue
## 16:10 #testing
Wrote E2E test covering two-client syncBecause it's just files, you can grep it, back it up, edit it by hand, or commit it. The server reads whatever is on disk on every call — no cache to invalidate.
How it works (~190 lines of TypeScript)
Built with the official @modelcontextprotocol/server SDK (2026-07-28 spec):
McpServer+registerTool(name, { description, inputSchema }, handler)— schemas are Standard Schema; this project uses Zod v4StdioServerTransport— the editor spawns the process and talks JSON-RPC over stdin/stdoutTool handlers read/write Markdown under
DIARY_DIR(default:./diary)
Companion article: "I Built an MCP Server That Keeps My Work Journal — Here's Everything I Learned" (draft in this repo).
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Personal context for every AI: search, read, and write back to your private Markdown library.
Search and reason over your Obsidian-style Markdown vault, right from ChatGPT.
Portable AI memory shared across models and harnesses - plain markdown you own.
Personal wiki and memory layer for AI assistants. Persistent, structured memory across sessions.
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