Appraisal Tracker MCP
Enables tracking annual performance appraisal by logging professional achievements as structured Markdown notes to an Obsidian vault through natural language conversation with VS Code Copilot.
README
Appraisal Tracker MCP
A local MCP (Model Context Protocol) server that connects to VS Code Copilot and helps you track your annual performance appraisal by logging evidence directly into an Obsidian vault — using natural language conversation.
Instead of manually filling spreadsheets or forgetting what you accomplished, you just tell Copilot what you did and it handles the rest: asks follow-up questions, maps the achievement to your appraisal goals, attaches screenshots, and writes structured Markdown notes to your vault.
What it does
- Log professional achievements conversationally — no forms, no structure needed
- Automatically maps evidence to appraisal goals by rubric
- Attaches screenshots or images to evidence notes
- Lists all logged evidences with filters
- Generates a full appraisal evidence report
- Generates a mid-year summary note (English, Spanish, or both)
- Generates an actionable game plan for completing remaining goals
Tools available
| Tool | What it does |
|---|---|
add_evidence |
Save an achievement and link it to appraisal goals |
get_appraisal |
Look up all goals for a level |
list_evidences |
List logged evidences with optional filters |
generate_report |
Generate a full Markdown report organized by rubric and goal |
generate_summary |
Generate a mid-year summary note (English, Spanish, or both) |
generate_game_plan |
Generate a prioritized game plan for remaining goals |
update_evidence_image |
Attach or add an image to an existing evidence note |
Requirements
- Node.js v18+ — recommended to use nvm
- VS Code with the GitHub Copilot extension
- Obsidian (optional but recommended — the vault is just a folder of Markdown files)
Setup
1. Clone the repo
git clone https://github.com/your-username/appraisal-tracker-mcp.git
cd appraisal-tracker-mcp
2. Install dependencies
node --version # make sure you're on v18+
npm install
3. Configure environment variables
Copy the example env file and edit it:
cp .env.example .env
Open .env and set your paths:
OBSIDIAN_VAULT_PATH=/Users/yourname/Documents/YourVault
TRACKER_FOLDER=Appraisal Tracker
DEFAULT_LEVEL=lead_consultant
OBSIDIAN_VAULT_PATH— the root folder of your Obsidian vault (or any folder where you want the notes saved)TRACKER_FOLDER— the subfolder inside the vault where all tracker files will be createdDEFAULT_LEVEL— your appraisal level. The server uses this automatically so you never have to specify it in conversation. Change it to match your level (e.g.,senior_consultant,principal_consultant)
4. Build the project
node --version # confirm Node 18+
npm run build # compiles TypeScript to dist/
If you're using nvm and the wrong Node version is active, run:
nvm use 20
npm run build
5. Configure VS Code Copilot
Create a .vscode/mcp.json file in this project (or in any workspace you want to use the tracker from):
{
"servers": {
"appraisal-tracker": {
"type": "stdio",
"command": "/absolute/path/to/node",
"args": ["/absolute/path/to/appraisal-tracker-mcp/dist/index.js"],
"env": {
"OBSIDIAN_VAULT_PATH": "/Users/yourname/Documents/YourVault",
"TRACKER_FOLDER": "Appraisal Tracker",
"DEFAULT_LEVEL": "lead_consultant"
}
}
}
}
Important: Use the absolute path to your Node binary — ${workspaceFolder} does not work here.
To find your Node path:
which node
# or if using nvm:
nvm which 20
6. Start the MCP server in VS Code
- Open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) - Search for "MCP: List Servers"
- Find
appraisal-trackerand click Start Server - Open Copilot Chat, switch to Agent mode
- You should see the tools listed — you're ready to go
Folder structure created in your vault
YourVault/
└── Appraisal Tracker/
├── attachments/ ← screenshots and images go here
├── evidences/
│ └── 2026/
│ └── lead_consultant/
│ ├── ev_20260427_001.md
│ └── ev_20260518_001.md
├── reports/ ← generated by generate_report
├── 2026 Mid-Year Summary.md
├── 2026 Resumen Mid-Year.md
└── 2026 Game Plan.md
How to use it
Open Copilot in Agent mode and just talk to it naturally:
Logging an achievement:
"I got my Azure AI Fundamentals certification today"
Copilot will ask follow-up questions (date, people involved, outcome, do you have a screenshot?) and then save the evidence note automatically.
Attaching a screenshot:
Save your screenshot to
YourVault/Appraisal Tracker/attachments/first, then tell Copilot: "Add the latest screenshot to that evidence"
Generating a summary:
"Generate my mid-year summary in both English and Spanish"
Generating a game plan:
"Generate my game plan. I'm currently working on: a dashboard for banking users, a skill meter tool, and studying for the AI-102 certification"
Listing what you've logged:
"Show me all my evidences for this year"
Adding support for other appraisal levels
Currently includes goals for lead_consultant. To add another level (e.g., Senior Consultant, Principal, etc.):
1. Create the appraisal JSON file
Add a new file at src/data/appraisals/senior_consultant.json (use lowercase and underscores for the filename).
The file must follow this structure:
{
"level": "senior_consultant",
"displayName": "Senior Consultant",
"rubrics": [
{
"id": "develop_business",
"name": "Develop your business",
"goals": [
{
"id": 1,
"description": "Description of goal 1 exactly as it appears in the appraisal rubric"
},
{
"id": 2,
"description": "Description of goal 2"
}
]
},
{
"id": "develop_yourself",
"name": "Develop yourself",
"goals": [
{
"id": 7,
"description": "Obtain a technical certification aligned to your technology stack"
}
]
},
{
"id": "manage_business",
"name": "Manage your business",
"goals": []
},
{
"id": "support_customers",
"name": "Support your customers",
"goals": []
}
]
}
Rules:
levelmust match the filename exactly (e.g.,senior_consultant→senior_consultant.json)idinside each rubric must be one of:develop_business,develop_yourself,manage_business,support_customers- Goal
idcan be a number (1,2) or a string for sub-goals ("6a","6b") - Copy the goal descriptions directly from the official appraisal document so they match exactly
2. Set your level in .env and mcp.json
Update DEFAULT_LEVEL in your .env file:
DEFAULT_LEVEL=senior_consultant
And in .vscode/mcp.json under env:
"DEFAULT_LEVEL": "senior_consultant"
This is the level the server will use automatically — you never have to specify it in conversation.
3. Rebuild the project
npm run build
4. Restart the MCP server in VS Code
Open MCP: List Servers from the Command Palette and restart appraisal-tracker.
4. Use it
Now you can tell Copilot:
"Add evidence for level senior_consultant — I led a client demo today"
Or generate a summary for that level:
"Generate my mid-year summary for senior_consultant"
You can have multiple levels active at the same time — each one stores its evidences in its own subfolder inside the vault (evidences/2026/senior_consultant/).
Appraisal goal structure
Goals are organized in 4 rubrics:
| Rubric | Description |
|---|---|
develop_business |
Business development, mentoring, case studies, sales support |
develop_yourself |
Certifications, learning, communication, technical growth |
manage_business |
Compliance, utilization, processes, professional development |
support_customers |
Delivery quality, client relationships, team support |
Customizing Copilot behavior
The file .github/copilot-instructions.md controls how Copilot behaves as an agent — what questions it asks before saving evidence, the tone it uses, and how it maps goals.
Edit this file to adjust the behavior for your workflow.
Tech stack
- TypeScript + Node.js
- @modelcontextprotocol/sdk — MCP server implementation
- zod — input validation
- dotenv — environment configuration
- Plain Markdown files as storage (no database)
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