WhatsMyBudgetMCP

TypeScript MCP server for the WhatsMyBudget Analytics API (/api/analytics) built with FastMCP.

What changed

• MCP infrastructure migrated to fastmcp

• Existing API integration/business logic preserved

• Tool names, descriptions, and response payload shapes preserved

• Tool registration split into modular files for easier future additions

Related MCP server: Seline MCP

Requirements

• Node.js 20+

• npm

Environment variables

Copy .env.example to .env and set values:

• WMB_API_BASE_URL (example: https://api.example.com)

• WMB_BEARER_TOKEN (optional; sent only when set)

• WMB_TIMEOUT_MS (optional, default 15000)

• WMB_TRANSPORT (optional: stdio or httpStream; default auto-detect)

• PORT (optional; when set, server defaults to httpStream on this port)

• WMB_HTTP_HOST (optional; default 0.0.0.0 for httpStream)

Project structure

src/
  index.ts
  server.ts
  config.ts
  schemas/
    analytics.ts
  services/
    apiClient.ts
    auth.ts
  tools/
    index.ts
    registerApiTool.ts
    analytics/
      registerMetadataTools.ts
      registerPeriodTools.ts
      registerRangeTools.ts
      registerSummaryTools.ts
    health/
      registerHealthTool.ts

Local setup (development)

1. Clone and enter the project.

2. Create your local env file.

3. Install dependencies.

4. Build and run tests.

5. Run the MCP server over stdio.

cp .env.example .env

npm install

npm run build

npm test

npm run dev

Optional smoke check (calls GET /api/analytics/periods):

npm run smoke

Production runtime command (compiled):

npm run build

npm start

Exposed MCP tools

• analytics_health

• analytics_periods_list

• analytics_categories_distinct_global

• analytics_period_overview

• analytics_period_categories

• analytics_period_categories_distinct

• analytics_period_categories_top

• analytics_period_accounts

• analytics_period_payment_methods

• analytics_period_criticality

• analytics_period_daily

• analytics_period_duplicates

• analytics_period_uncategorized

• analytics_period_outliers

• analytics_range_overview

• analytics_range_categories

• analytics_range_categories_top

• analytics_range_accounts

• analytics_range_payment_methods

• analytics_range_criticality

• analytics_range_daily

• analytics_range_duplicates

• analytics_range_uncategorized

• analytics_range_outliers

• analytics_summary_by_period

• analytics_summaries_range

Production setup on DigitalOcean

This server supports both MCP stdio and httpStream transports.

• If PORT is set at runtime, it starts httpStream on 0.0.0.0:$PORT.

• Otherwise it defaults to stdio for local process-based MCP clients.

Option A: DigitalOcean Droplet (recommended for stdio)

Use this when your agent runs on the same Droplet and launches this MCP server as a local process.

1. Provision an Ubuntu Droplet.

2. Install Node.js 20+ and npm.

3. Clone the repo and configure env vars.

4. Build and run as a long-lived process.

Example commands after SSH:

git clone <your-repo-url>

cd WhatsMyBudgetMCP

cp .env.example .env

npm install

npm run build

npm start

For process supervision in production, use a service manager like systemd or PM2.

Option B: Docker on Droplet

If your agent can execute Docker commands locally on the host, run the MCP server in a container.

docker build -t whatsmybudget-mcp:latest .

docker run --rm \
  -e WMB_API_BASE_URL="https://api.example.com" \
  -e WMB_TIMEOUT_MS="15000" \
  whatsmybudget-mcp:latest

If your backend enforces auth, include -e WMB_BEARER_TOKEN="your-token".

App Platform note

DigitalOcean App Platform can run this server when PORT is injected by the platform (default behavior). The server will bind to 0.0.0.0:$PORT and expose MCP at /mcp with health at /health.