wave-mcp
Click on "Install 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., "@wave-mcpwho owes me money?"
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.
wave-mcp
A small, read-only MCP server over Wave Accounting's public GraphQL API. Ask your books plain-English questions from any MCP client — "who owes me money?", "how's revenue this year?" — with a focus on accounts receivable and the signal Wave quietly exposes but most tools ignore: whether the customer ever opened the invoice.
FastMCP, env-var auth, no dependencies beyond mcp and requests.
Tools
Tool | What it answers |
| AR: every invoice still owed, aged, with |
| Invoiced revenue (accrual) by month over a date range. |
| List businesses (id, name, currency) to discover a |
Related MCP server: qbo-mcp
Scope & limits (deliberate)
Read-only. Querying is the safe surface; invoice send/edit tools are a possible v2.
Wave's public API has no transactions and no P&L/reports endpoint — so this gives AR + invoiced revenue only. Total expenses and net income are not available from the Wave API and must come from your bank/card data elsewhere.
Revenue is accrual (by invoice date), excludes DRAFT/SAVED, and may run under Wave's own P&L (which can include non-invoice income the API doesn't expose). Wave's UI is authoritative; this is a cross-check.
Setup
python3 -m venv .venv && ./.venv/bin/pip install -r requirements.txt
export WAVE_FULL_ACCESS_TOKEN=... # or via your secret manager
./.venv/bin/python server.pyGet WAVE_FULL_ACCESS_TOKEN from the Wave Developer
Portal → your application → Full Access
Token. Using your own account's token is free even on the Starter plan.
Register with an MCP client
Example stdio entry (Claude Code / Claude Desktop mcpServers):
{
"wave": {
"command": "/path/to/wave-mcp/.venv/bin/python",
"args": ["/path/to/wave-mcp/server.py"],
"env": { "WAVE_FULL_ACCESS_TOKEN": "your-token" }
}
}Prefer a secret manager over inlining the token — e.g. wrap the command with
doppler run -- ... and keep WAVE_FULL_ACCESS_TOKEN in Doppler. Set
WAVE_BUSINESS_NAME to pick a default business (otherwise the first
non-personal business is used).
License
MIT © 2026 Noah Weir
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