notes-mcp
Allows AI agents to read, search, create, and append Markdown notes in a local Obsidian vault by pointing the server at the vault folder.
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., "@notes-mcpsearch my notes for design thinking"
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.
Build Your First MCP Server
SUTD AI · Agentic Engineering Workshop · Model Context Protocol
A three-hour, hands-on session. You will learn what the Model Context Protocol is, why it exists and where it fits, then write your own MCP server in Python that gives an AI agent (AWS Kiro) the ability to read and write your notes — and connect that same agent to a shared design-thinking board.
What you will walk out with
A working MCP server, written by you, that exposes a folder of Markdown notes (the sample
vault/, or your own Obsidian vault) to any MCP client.Kiro configured on your laptop with your server, plus one or two third-party MCP servers added by URL.
A clear mental model of what MCP is, when to reach for it, and when not to.
No prior MCP knowledge is assumed. If you can read a short Python function you can do the hands-on part; the file operations are already written, you write the MCP layer.
Related MCP server: obsidian_mcp
The session at a glance
Time | Segment | You will… |
0:00 | Welcome and SUTD AI | hear what the club does and what this workshop series is |
0:10 | Environment check | confirm Kiro, |
0:30 | What is MCP? | learn the why, when, where and how; capabilities; trade-offs |
1:00 | Break | |
1:10 | Hands-on: build | write the server step by step and drive it from Kiro |
2:15 | Third-party MCP servers | add a remote server by URL and use it |
2:30 | Design-thinking board | pair Kiro to a shared board that is itself an MCP server |
2:50 | Wrap-up | recap, resources, what to build next |
Full minute-by-minute plan for facilitators: docs/facilitator-runbook.md.
Before you arrive (15 minutes)
Do the pre-work so the session is spent building, not installing:
docs/00-prework.md. In short: install Kiro and sign in, install uv,
get this repo, run uv sync, then uv run check_env.py until everything is green.
Repository map
server.py ← YOU edit this. The MCP server, with STEP 1–4 marked as TODOs.
notes.py ← done for you: read/search/create/append Markdown notes (macOS/Windows/Linux)
check_server.py ← talks to your server exactly like Kiro does, and shows the messages
check_env.py ← pre-work check
setup_kiro.py ← writes .kiro/settings/mcp.json with the absolute paths Kiro needs
vault/ ← sample notes so everything works out of the box
solution/server.py ← the finished server, for comparison
.kiro/ ← workspace MCP config template + a steering file so Kiro can coach you
docs/ ← the curriculum (read in order)The curriculum
# | Document | Segment |
0 | Kiro, | |
1 | Why it exists, when it was created, where and how to use it, capabilities, advantages and disadvantages | |
2 | The hands-on walkthrough, four steps plus a stretch | |
3 | Remote servers by URL, trust and approval | |
4 | A board that is also an MCP server: pair your agent, research, post evidence | |
— | Timings, roles, checkpoints, fallbacks, pre-flight |
Quick start (if you already did the pre-work)
uv sync # installs the MCP SDK into .venv
uv run check_env.py # everything green?
uv run setup_kiro.py # writes the Kiro config with absolute paths
uv run check_server.py # "complete STEP 1 first" — that is your cue to open server.pyOpen this folder in Kiro, then follow docs/02-build-notes-mcp.md.
Using your own notes
The server reads whatever folder NOTES_VAULT points at. To use an Obsidian vault:
uv run setup_kiro.py --vault "/Users/you/Documents/My Vault" # macOS
uv run setup_kiro.py --vault "C:/Users/you/Documents/My Vault" # WindowsAny folder of .md files works; nothing Obsidian-specific is required.
Credits
Built by SUTD AI for the Agentic Engineering Workshop series. The design-thinking board used in
the final segment is design-think-agent.
Code is MIT; documentation is CC BY 4.0.
This server cannot be deployed
Maintenance
Related MCP Connectors
Search, read, and write your Apple Notes from ChatGPT/Claude via a local Mac agent + MCP relay.
Google Keep-style notes app with an MCP server for AI agents to read/write notes.
Agent-native notes, tasks, dev-docs, vaults, sync & handoffs. MCP + OpenAPI dual surface.
- TaprootOAuthcom.taproothq
Persistent memory layer for AI tools. Save and recall notes across Claude and other MCP clients.
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