
Connects Claude to Monarch Money's personal finance platform through the MonarchMoneyCommunity Python library. Exposes tools for retrieving account balances, transaction history, budget data, and cashflow analysis, plus basic transaction management like creating and updating entries. Handles MFA authentication through a one-time terminal setup that persists sessions for weeks. Reach for this when you want to analyze spending patterns, track budgets, or build financial reports directly in Claude conversations without switching between apps or manually exporting data.
A Model Context Protocol (MCP) server for integrating with the Monarch Money personal finance platform. This server provides seamless access to your financial accounts, transactions, budgets, and analytics through Claude Desktop and Claude Code.
My MonarchMoney referral: https://www.monarchmoney.com/referral/ufmn0r83yf?r_source=share
Built with the MonarchMoneyCommunity Python library - An actively maintained community fork of the Monarch Money API with full MFA support.
If you plan to use this MCP server locally / on the same computer as Claude Desktop or similar, start with the Local Installation section.
For other deployment scenarios - like containerized deployment or cloud hosting - start with the Containerized Deployment section.
Clone this repository:
git clone https://github.com/robcerda/monarch-mcp-server.git
cd monarch-mcp-server
Install dependencies:
Using uv (recommended):
uv sync --locked
--locked installs exactly what uv.lock pins, verified against the
hashes it records, and refuses to re-resolve. Without it, uv sync is free
to pick up whatever versions happen to satisfy the ranges today.
Using pip:
pip install -r requirements-lock.txt --require-hashes
pip install -e . --no-deps
requirements-lock.txt is generated from uv.lock and pins every transitive
dependency with hashes, so --require-hashes gives the pip path the same
guarantee as the uv one. --no-deps on the second command stops pip
re-resolving what the first command just pinned.
pip install -r requirements.txt still works and installs exactly the same
set. That file is now a one line include of requirements-lock.txt, kept so
existing setups and scripts do not break. The pins moved out of it because a
root requirements.txt gets resolved as an independent manifest, which had
started producing a pinned set that disagreed with uv.lock.
Configure Claude Desktop: Add this to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"Monarch Money": {
"command": "/opt/homebrew/bin/uv",
"args": [
"run",
"--locked",
"--project",
"/path/to/your/monarch-mcp-server",
"monarch-mcp-server"
]
}
}
}
Important: Replace /path/to/your/monarch-mcp-server with your actual path!
uv run --locked --project resolves dependencies from the repo's
uv.lock, and monarch-mcp-server is the console script declared in
pyproject.toml. --locked matters: without it, a lockfile that has
drifted from pyproject.toml is silently re-resolved against PyPI and the
recorded hashes stop being enforced. With it, drift is a startup error.
Earlier versions of this README used uv run --with 'mcp[cli]', which
builds a fresh unpinned environment on every launch and silently picks up
whatever the newest release happens to be. That is what broke every install
when the MCP SDK published 2.0, and the client only reported it as the
server disconnecting. Pinning the launch to the lockfile means a new
upstream release cannot change what your server runs.
Restart Claude Desktop
OR
Configure Claude Code (CLI): Add this to your Claude Code configuration file:
Global (all projects):
macOS/Linux: ~/.claude.json
Windows: %USERPROFILE%\.claude.json
{
"mcpServers": {
"Monarch Money": {
"command": "/opt/homebrew/bin/uv",
"args": [
"run",
"--locked",
"--project",
"/path/to/your/monarch-mcp-server",
"monarch-mcp-server"
]
}
}
}
Project-level (specific directory):
Create .mcp.json in your project directory:
{
"Monarch Money": {
"command": "/opt/homebrew/bin/uv",
"args": [
"run",
"--locked",
"--project",
"/path/to/your/monarch-mcp-server",
"monarch-mcp-server"
]
}
}
If installed via pip instead of uv, use:
{
"command": "python",
"args": ["/path/to/your/monarch-mcp-server/src/monarch_mcp_server/server.py"]
}
Important: Replace /path/to/your/monarch-mcp-server with your actual path!
Restart Claude Code
Important: For security and MFA support, authentication is done outside of Claude.
Open a terminal and run:
cd /path/to/your/monarch-mcp-server
uv run python login_setup.py # or: python login_setup.py
The script offers three login paths:
Long-lived sessions, supports SSO accounts, and sidesteps Cloudflare CAPTCHA gates on programmatic login. Steps:
Log in to https://app.monarch.com in Chrome or Firefox.
Open DevTools (F12) → Network tab.
Click any request whose Name starts with graphql (or any request to api.monarch.com).
Scroll to Request Headers, find the cookie: header, and copy the full value.
Save it to the cookie file for your platform (recommended), then re-run the script — it reads the file automatically:
macOS / Linux — ~/.config/monarch-mcp/cookie.txt (respects $XDG_CONFIG_HOME):
mkdir -p ~/.config/monarch-mcp
# paste the cookie value into the file with your editor, then:
chmod 600 ~/.config/monarch-mcp/cookie.txt
Windows — %APPDATA%\monarch-mcp\cookie.txt:
New-Item -ItemType Directory -Force "$env:APPDATA\monarch-mcp" | Out-Null
notepad "$env:APPDATA\monarch-mcp\cookie.txt" # paste the cookie value, save, close
Files under your user profile are already ACL-restricted to your account on Windows; no chmod equivalent is needed for typical single-user machines.
To use a different location on any platform, set the MONARCH_MCP_COOKIE_FILE environment variable to the full path.
Alternatively, paste the value at the interactive prompt — but note that
POSIX terminals silently truncate pasted input at the canonical-mode
buffer limit (MAX_CANON, 1024 bytes on macOS/Linux), and real Monarch
cookie headers are usually longer than that, so the prompt path fails
with a confusing auth error for most users. The cookie file has no
length limit and survives repo updates.
The script verifies the cookies against the live API before saving them to your system keyring. The cookie file is only read at setup time; the running MCP server uses the keyring session.
Standard interactive login. The script handles:
The resulting long-lived session token is saved to your system keyring.
Kept for users with an existing token captured before the May 2026 API change. Monarch may no longer accept token-only auth on the GraphQL endpoint; if the verification call returns 401, fall back to option 1.
Once authenticated, use these tools directly in Claude Desktop or Claude Code:
get_accounts - View all your financial accountsget_transactions - Recent transactions with filteringget_budgets - Budget information and spendingget_cashflow - Income/expense analysisThe Docker image uses Astral's uv/Python 3.12 slim base, installs from uv.lock,
and defaults to HTTP on 0.0.0.0:8000 inside the container.
docker build -t monarch-mcp-server .
Authenticate once using a persistent session volume:
docker run --rm -it \
-v monarch-session:/home/app/.monarch-mcp-server \
monarch-mcp-server python login_setup.py
The login script supports a cookie file for browser-cookie authentication.
To use it, also mount your cookie file at /tmp/monarch-cookie.txt:ro and set MONARCH_MCP_COOKIE_FILE=/tmp/monarch-cookie.txt for the login container.
The file must be readable by the container's uid 10001, which conflicts with
the chmod 600 advised for the local flow: a 0600 file owned by your host user
is not readable by uid 10001 inside the container. For the container login,
either chown 10001 cookie.txt and keep it at 0600, or run the login container
with --user $(id -u) so it reads the file as you. Do not widen it to 0644.
Delete the file once the login has succeeded.
Once saved, the session volume is sufficient for normal server launches.
[!IMPORTANT] The session is stored unencrypted in that volume. This differs from a local install, and the difference is easy to miss.
On macOS and Windows the session goes to the system keyring. A container has no keyring backend, so storage falls back to a file. That file is encrypted at rest only on Windows, through DPAPI, so in a Linux container it holds your Monarch session in plaintext. Permissions are as tight as a file can be, mode 0600 inside a 0700 directory owned by uid 10001, but file permissions do not help against anyone who can reach the volume from outside the container.
Treat
monarch-sessionas a secret. It can be read by root on the Docker host, by any user in thedockergroup, by any other container that mounts the same volume, bydocker cpanddocker exec, and by anything that backs up/var/lib/docker. A Monarch session grants full read and write access to your accounts and does not expire on its own, so a copy of this volume is a lasting credential. Back it up only to somewhere you would keep a password, and delete the volume withdocker volume rm monarch-sessionwhen you are done with it.The cookie file described below is the same kind of secret. Delete it once the login has succeeded; it is only needed for that one run.
Reuse the session volume when starting the server:
$ docker run -d --name monarch-mcp --restart unless-stopped \
-p 127.0.0.1:8000:8000 \
-v monarch-session:/home/app/.monarch-mcp-server \
monarch-mcp-server
Connect your MCP client to http://127.0.0.1:8000/mcp using Streamable HTTP.
See HTTP transport configuration for all settings.
The image runs in read only mode by default,
because the HTTP transport does not authenticate callers. Anything that can
reach the port would otherwise be able to call monarch_logout, or
monarch_login_with_token to swap your saved session for another Monarch
account. Login happens in the separate login_setup.py container above, so the
running server never needs those tools.
To allow writes, add -e MONARCH_MCP_READ_ONLY=0. That registers every
mutating tool, including the login and logout tools, on the listening socket,
so only do it where every client that can reach the port is trusted.
[!WARNING] This MCP server is not multi-user or multi-account. All connected clients share the same session and permissions. Ensure that you understand the security implications before exposing the server to a network.
To connect from another machine, put the container behind an authenticated HTTPS reverse proxy or a private network with access controls, publish the port on the appropriate interface, and allow the hostname used by the client:
docker run -d --name monarch-mcp --restart unless-stopped \
-p 127.0.0.1:8000:8000 \
-e MONARCH_MCP_ALLOWED_HOSTS=mcp.example.com \
-v monarch-session:/home/app/.monarch-mcp-server \
monarch-mcp-server
Here a reverse proxy on the Docker host forwards https://mcp.example.com/mcp to http://127.0.0.1:8000/mcp, preserving the public Host header.
The proxy must support streaming responses without buffering.
For direct access on a private network, allow the client's Host value including the port, such as server.lan:8000.
Let me stress this point: This is a single-account server! All connected clients share the same saved Monarch session and permissions, including enabled write tools. Basic Host/origin checks protect against DNS rebinding; they do not authenticate callers. Use one server and session volume per Monarch account if you need to.
To run the Docker image over STDIO instead:
docker run --rm -i \
-e MONARCH_MCP_TRANSPORT=stdio \
-v monarch-session:/home/app/.monarch-mcp-server \
monarch-mcp-server
The server supports MCP Streamable HTTP at /mcp but only when explicitly selected:
uv run --locked monarch-mcp-server --transport http --host 127.0.0.1 --port 8000
Connect an MCP client using Streamable HTTP to http://127.0.0.1:8000/mcp.
| Setting | CLI flag | Environment variable | Default outside Docker |
|---|---|---|---|
| Transport | --transport | MONARCH_MCP_TRANSPORT | stdio (http aliases streamable-http) |
| Listen address | --host | MONARCH_MCP_HOST | 127.0.0.1 |
| Listen port | --port | MONARCH_MCP_PORT | 8000 |
| Additional allowed Host headers | --allowed-host (repeatable) | MONARCH_MCP_ALLOWED_HOSTS (comma-separated) | None; loopback hosts are always allowed |
| Additional allowed browser Origins | --allowed-origin (repeatable) | MONARCH_MCP_ALLOWED_ORIGINS (comma-separated) | None; HTTP loopback origins are always allowed |
CLI flags override their environment settings.
Host entries include the port when clients send one; server.lan:* allows any port.
Origin entries include the scheme, for example https://client.example.com.
Clients without an Origin header are supported.
Browser clients may additionally require CORS handling at the reverse proxy.
Works great with Meta Muse, Meta's AI assistant, alongside Claude Desktop and Claude Code. Muse speaks MCP, so it connects the same way as any other client: give it the stdio launch command from the installation section, or point it at the Streamable HTTP endpoint if you are running the container.
Using Muse? Ask it to install this server from this repo. Muse can handle the install and register the server with itself, but authentication is a step only you can do: run login_setup.py once and paste a browser cookie, or enter your password and MFA. After that, ask Muse to list your Monarch accounts to confirm it is working.
Check out Muse, your personal AI agent. Redeem my code in Settings within 48 hours of joining and we'll both get 1 billion Muse tokens.
Code: O63W0U
get_recurring_transactions() includes merchant forecasts and synced liability
bills (such as credit cards and loans). Set include_liabilities=False to
request only merchant recurring items. Omit both dates for the current calendar
month, or provide both start_date and end_date in YYYY-MM-DD format.
The default response remains a JSON list with the existing merchant fields.
Each item also exposes account_id, category_id, amount_diff, and the stream's
name and merchant_id. A liability item can have a null merchant. Its
stream.credit_report_liability_account contains the liability id, linked
account_id/account name, and last_statement with id, due_date,
bill_amount, minimum_payment_amount, payment_status, and remaining_balance.
Missing statements and unknown balances stay null; paid balances stay zero.
These are not interchangeable amounts. The item's amount and stream's
amount are recurring forecasts. last_statement.bill_amount is the original
synced statement amount; remaining_balance is the remaining synced statement
balance. The latest statement's due date can differ from the forecast item's
date. Payment status is returned as supplied by Monarch, not inferred. These
values reflect the latest sync, not a guaranteed real-time amount owed.
Merchant forecasts and liability bills can describe the same payment. The tool preserves both with their identities: it does not sum, deduplicate, or substitute forecast amounts for unknown statement balances.
With limit omitted, the tool reads every page itself and returns the complete
range, so the default list is the whole month. Pass limit to read a single page
instead, and use include_metadata=True to opt into the standard envelope
(data, args, count, total_count, truncated, tool, search):
get_recurring_transactions(
start_date="2026-02-01", end_date="2026-02-28",
include_liabilities=True, limit=100, offset=0, include_metadata=True,
)
The API supplies no total, so total_count is null. With an explicit limit, a
full page is conservatively marked truncated=True (more rows may exist). Keep
the dates and filters fixed, advance offset by count, and continue until
truncated=False. An exactly full final page requires one more request, which
may return an empty page.
Synced bills require bill sync to be available and configured in Monarch; the tool does not enable it or refresh institutions.
monarch_login_with_token to paste a session token from your browserAll 60 registered tools. Required parameters are listed first, optional ones are marked with a trailing question mark. This table is generated from the live tool registry and the functions' signatures, so it does not drift.