monarch-money-mcp-server

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Monarch Money MCP Server

Skill by ara.so — MCP Skills collection

由ara.so开发的Skill — MCP Skills合集

Overview

概述

The Monarch Money MCP Server provides seamless integration with the Monarch Money personal finance platform through the Model Context Protocol. It enables Claude Desktop and Claude Code to access your financial accounts, transactions, budgets, analytics, and more through a comprehensive set of tools.

Built on the MonarchMoneyCommunity Python library with full MFA support.

Monarch Money MCP Server通过Model Context Protocol实现与Monarch Money个人理财平台的无缝集成。它使Claude Desktop和Claude Code能够通过一套全面的工具访问你的金融账户、交易记录、预算、分析数据等内容。

基于MonarchMoneyCommunity Python库构建，支持完整的MFA功能。

Installation

安装

1. Clone and Install Dependencies

1. 克隆项目并安装依赖

bash

git clone https://github.com/robcerda/monarch-mcp-server.git
cd monarch-mcp-server

bash

git clone https://github.com/robcerda/monarch-mcp-server.git
cd monarch-mcp-server

Using pip

使用pip

pip install -r requirements.txt pip install -e .

OR using uv

或使用uv

uv sync

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uv sync

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2. Configure Claude Desktop

2. 配置Claude Desktop

Add to

~/Library/Application Support/Claude/claude_desktop_config.json

(macOS) or

%APPDATA%\Claude\claude_desktop_config.json

(Windows):

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "/opt/homebrew/bin/uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with-editable",
        "/absolute/path/to/monarch-mcp-server",
        "mcp",
        "run",
        "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
      ]
    }
  }
}

If using pip instead of uv:

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "python",
      "args": ["/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"]
    }
  }
}

添加至

~/Library/Application Support/Claude/claude_desktop_config.json

（macOS系统）或

%APPDATA%\Claude\claude_desktop_config.json

（Windows系统）：

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "/opt/homebrew/bin/uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with-editable",
        "/absolute/path/to/monarch-mcp-server",
        "mcp",
        "run",
        "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
      ]
    }
  }
}

如果使用pip而非uv：

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "python",
      "args": ["/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"]
    }
  }
}

3. Configure Claude Code (CLI)

3. 配置Claude Code（CLI）

Global config (

~/.claude.json

%USERPROFILE%\.claude.json

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "/opt/homebrew/bin/uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with-editable",
        "/absolute/path/to/monarch-mcp-server",
        "mcp",
        "run",
        "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
      ]
    }
  }
}

Project-level config (

.mcp.json

in project directory):

json

{
  "Monarch Money": {
    "command": "/opt/homebrew/bin/uv",
    "args": [
      "run",
      "--with",
      "mcp[cli]",
      "--with-editable",
      "/absolute/path/to/monarch-mcp-server",
      "mcp",
      "run",
      "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
    ]
  }
}

全局配置（

~/.claude.json

或

%USERPROFILE%\.claude.json

）：

json

{
  "mcpServers": {
    "Monarch Money": {
      "command": "/opt/homebrew/bin/uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with-editable",
        "/absolute/path/to/monarch-mcp-server",
        "mcp",
        "run",
        "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
      ]
    }
  }
}

项目级配置（项目目录下的

.mcp.json

）：

json

{
  "Monarch Money": {
    "command": "/opt/homebrew/bin/uv",
    "args": [
      "run",
      "--with",
      "mcp[cli]",
      "--with-editable",
      "/absolute/path/to/monarch-mcp-server",
      "mcp",
      "run",
      "/absolute/path/to/monarch-mcp-server/src/monarch_mcp_server/server.py"
    ]
  }
}

4. One-Time Authentication

4. 一次性认证

Run the authentication setup script outside of Claude:

bash

cd /absolute/path/to/monarch-mcp-server

在Claude外部运行认证设置脚本：

bash

cd /absolute/path/to/monarch-mcp-server

Using python

使用python

python login_setup.py

OR using uv

或使用uv

uv run python login_setup.py


Follow prompts to enter:
- Monarch Money email and password
- 2FA code (if MFA is enabled)

Session tokens are stored securely and persist for weeks/months.

**For SSO/Google sign-in users:**
Use the `monarch_login_with_token` function to paste a session token from your browser.

uv run python login_setup.py


按照提示输入：
- Monarch Money邮箱和密码
- 2FA验证码（若启用MFA）

会话令牌将被安全存储，有效期可达数周/数月。

**对于SSO/谷歌登录用户：**
使用`monarch_login_with_token`函数粘贴浏览器中的会话令牌。

Core Tools

核心工具

Account Management

账户管理

get_accounts

get_accounts

Retrieve all linked financial accounts with balances and institution info.

python

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获取所有关联金融账户的余额和机构信息。

python

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Returns all accounts with: id, displayName, currentBalance, accountType, institution

返回所有账户信息：id、displayName、currentBalance、accountType、institution

get_accounts()


**Example prompt:**

Show me all my financial accounts

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get_accounts()


**示例提示：**

展示我所有的金融账户

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get_account_holdings

get_account_holdings

View securities and investments in investment accounts.

python

get_account_holdings(account_id="acc_123456")

Example prompt:

What holdings do I have in my investment account acc_123456?

查看投资账户中的证券和投资产品。

python

get_account_holdings(account_id="acc_123456")

示例提示：

我的投资账户acc_123456中有哪些持仓？

refresh_accounts

refresh_accounts

Request real-time data refresh from financial institutions.

python

refresh_accounts()

Example prompt:

Refresh all my account balances from the banks

请求从金融机构获取实时数据刷新。

python

refresh_accounts()

示例提示：

刷新我所有银行账户的余额

Transaction Access

交易访问

get_transactions

get_transactions

Fetch transactions with filtering, pagination, and reconciliation fields.

python

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获取交易记录，支持过滤、分页和对账字段。

python

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Basic usage - last 50 transactions

基础用法 - 最近50条交易记录

get_transactions(limit=50)

Filtered by date range

按日期范围过滤

get_transactions( start_date="2024-01-01", end_date="2024-01-31", limit=100 )

Filter by account and category

按账户和分类过滤

get_transactions( account_id="acc_123", category_ids=["cat_456", "cat_789"], limit=50, offset=0 )

Search transactions

搜索交易记录

get_transactions( search="Amazon", wide_search=True, limit=25 )

Filter by flags

按标记过滤

get_transactions( has_notes=False, is_split=False, limit=100 )


**Example prompts:**

Show me my last 100 transactions Get all Amazon transactions from January 2024 Show me uncategorized transactions with no notes

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get_transactions( has_notes=False, is_split=False, limit=100 )


**示例提示：**

展示我最近100条交易记录获取2024年1月所有亚马逊交易记录展示所有未分类且无备注的交易记录

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create_transaction

create_transaction

Add a new transaction to an account.

python

create_transaction(
    account_id="acc_123",
    amount=-45.99,
    description="Coffee shop",
    date="2024-01-15",
    category_id="cat_dining",
    merchant_name="Local Cafe"
)

Example prompt:

Create a transaction for $45.99 at Local Cafe on January 15th in my checking account

向账户添加新交易记录。

python

create_transaction(
    account_id="acc_123",
    amount=-45.99,
    description="咖啡店",
    date="2024-01-15",
    category_id="cat_dining",
    merchant_name="本地咖啡馆"
)

示例提示：

在我的支票账户中创建一条2024年1月15日在本地咖啡馆消费45.99美元的交易记录

update_transaction

update_transaction

Modify existing transaction details.

python

update_transaction(
    transaction_id="txn_789",
    amount=-52.00,
    description="Grocery store shopping",
    category_id="cat_groceries",
    date="2024-01-16"
)

Example prompt:

Update transaction txn_789 to $52 and change the category to groceries

修改现有交易记录的详情。

python

update_transaction(
    transaction_id="txn_789",
    amount=-52.00,
    description="杂货店购物",
    category_id="cat_groceries",
    date="2024-01-16"
)

示例提示：

将交易txn_789的金额更新为52美元，并将分类改为杂货

Budget Management

预算管理

get_budgets

get_budgets

Access budget information with spending analysis.

python

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访问预算信息及支出分析。

python

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Current month budgets

当前月份预算

get_budgets()

Specific date range

指定日期范围

get_budgets( start_date="2024-01-01", end_date="2024-12-31" )


**Example prompt:**

Show me my budgets for 2024

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get_budgets( start_date="2024-01-01", end_date="2024-12-31" )


**示例提示：**

展示我2024年的预算

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set_budget_amount

set_budget_amount

Create or modify budget amounts.

python

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创建或修改预算金额。

python

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Set budget for a category

设置分类预算

set_budget_amount( amount=500.00, category_id="cat_dining", start_date="2024-02-01", apply_to_future=True )

Set budget for a category group

设置分类组预算

set_budget_amount( amount=2000.00, category_group_id="grp_housing", start_date="2024-02-01", apply_to_future=False )


**Example prompt:**

Set my dining budget to $500 per month starting in February

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set_budget_amount( amount=2000.00, category_group_id="grp_housing", start_date="2024-02-01", apply_to_future=False )


**示例提示：**

从2月开始，将我的餐饮预算设置为每月500美元

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Category Management

分类管理

get_categories

get_categories

List all transaction categories with groups and metadata.

python

get_categories()

列出所有交易分类及其分组和元数据。

python

get_categories()

Returns: id, name, group, icon, systemCategory, isSystemCategory, isDisabled

返回：id、name、group、icon、systemCategory、isSystemCategory、isDisabled


**Example prompt:**

List all my transaction categories

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**示例提示：**

列出我所有的交易分类

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get_category_groups

get_category_groups

View category groups with their associated categories.

python

get_category_groups()

Example prompt:

Show me all category groups

查看分类组及其关联的分类。

python

get_category_groups()

示例提示：

展示所有分类组

set_transaction_category

set_transaction_category

Assign a category to a transaction.

python

set_transaction_category(
    transaction_id="txn_123",
    category_id="cat_groceries",
    mark_reviewed=True
)

Example prompt:

Categorize transaction txn_123 as groceries and mark it reviewed

为交易记录分配分类。

python

set_transaction_category(
    transaction_id="txn_123",
    category_id="cat_groceries",
    mark_reviewed=True
)

示例提示：

将交易txn_123分类为杂货，并标记已审核

bulk_categorize_transactions

bulk_categorize_transactions

Apply a category to multiple transactions at once.

python

bulk_categorize_transactions(
    transaction_ids=["txn_1", "txn_2", "txn_3"],
    category_id="cat_dining"
)

Example prompt:

Categorize all these Amazon transactions as shopping: txn_1, txn_2, txn_3

一次性为多条交易记录应用分类。

python

bulk_categorize_transactions(
    transaction_ids=["txn_1", "txn_2", "txn_3"],
    category_id="cat_dining"
)

示例提示：

将这些亚马逊交易记录分类为购物：txn_1、txn_2、txn_3

Transaction Review Workflow

交易审核流程

get_transactions_needing_review

get_transactions_needing_review

Find transactions requiring attention.

python

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查找需要关注的交易记录。

python

undefined

All transactions needing review

所有需要审核的交易记录

get_transactions_needing_review(needs_review=True)

Uncategorized transactions only

仅未分类交易记录

get_transactions_needing_review(uncategorized=True)

Transactions without notes

无备注的交易记录

get_transactions_needing_review(no_notes=True)

Last N days

Rule with amount criteria

包含金额条件的规则

create_transaction_rule( merchant_criteria_operator="contains", merchant_criteria_value="Gas", set_category_id="cat_transportation", amount_operator="greater_than", amount_value=20.00 )


**Example prompt:**

Create a rule to categorize all Spotify transactions as subscriptions

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create_transaction_rule( merchant_criteria_operator="contains", merchant_criteria_value="Gas", set_category_id="cat_transportation", amount_operator="greater_than", amount_value=20.00 )


**示例提示：**

创建规则，将所有Spotify交易记录自动分类为订阅

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update_transaction_rule

update_transaction_rule

Modify existing rules.

python

update_transaction_rule(
    rule_id="rule_123",
    merchant_criteria_operator="equals",
    merchant_criteria_value="Netflix",
    set_category_id="cat_entertainment"
)

Example prompt:

Update rule rule_123 to use exact match for Netflix

修改现有规则。

python

update_transaction_rule(
    rule_id="rule_123",
    merchant_criteria_operator="equals",
    merchant_criteria_value="Netflix",
    set_category_id="cat_entertainment"
)

示例提示：

更新规则rule_123，使其对Netflix进行精确匹配

delete_transaction_rule

delete_transaction_rule

Remove a rule.

python

delete_transaction_rule(rule_id="rule_456")

Example prompt:

Delete transaction rule rule_456

删除规则。

python

delete_transaction_rule(rule_id="rule_456")

示例提示：

删除交易规则rule_456

Transaction Splits

交易拆分

get_transaction_splits

get_transaction_splits

View how a transaction has been split.

python

get_transaction_splits(transaction_id="txn_789")

Example prompt:

Show me the splits for transaction txn_789

查看交易记录的拆分情况。

python

get_transaction_splits(transaction_id="txn_789")

示例提示：

展示交易txn_789的拆分详情

split_transaction

split_transaction

Divide a transaction into multiple parts.

python

split_transaction(
    transaction_id="txn_123",
    splits=[
        {
            "amount": -30.00,
            "category_id": "cat_groceries",
            "merchant_name": "Target - Groceries"
        },
        {
            "amount": -20.00,
            "category_id": "cat_household",
            "merchant_name": "Target - Household"
        }
    ]
)

Example prompt:

Split transaction txn_123: $30 for groceries and $20 for household items

将交易记录拆分为多个部分。

python

split_transaction(
    transaction_id="txn_123",
    splits=[
        {
            "amount": -30.00,
            "category_id": "cat_groceries",
            "merchant_name": "Target - 杂货"
        },
        {
            "amount": -20.00,
            "category_id": "cat_household",
            "merchant_name": "Target - 家居"
        }
    ]
)

示例提示：

拆分交易txn_123：30美元为杂货，20美元为家居用品

Financial Analysis

财务分析

get_cashflow

get_cashflow

Analyze income and expenses over time.

python

get_cashflow(
    start_date="2024-01-01",
    end_date="2024-12-31"
)

Example prompt:

Show me my cashflow for 2024

分析一段时间内的收支情况。

python

get_cashflow(
    start_date="2024-01-01",
    end_date="2024-12-31"
)

示例提示：

展示我2024年的现金流情况

get_net_worth

get_net_worth

Track net worth with daily snapshots and trends.

python

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跟踪净值变化，包含每日快照和趋势。

python

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All accounts

所有账户

get_net_worth( start_date="2023-01-01", end_date="2024-12-31" )

Specific account type

指定账户类型

get_net_worth( start_date="2024-01-01", end_date="2024-12-31", account_type="investment" )


**Example prompt:**

Show me my net worth trend for 2024

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get_net_worth( start_date="2024-01-01", end_date="2024-12-31", account_type="investment" )


**示例提示：**

展示我2024年的净值趋势

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get_account_balance_history

get_account_balance_history

View historical balance data for an account.

python

get_account_balance_history(account_id="acc_checking_123")

Example prompt:

Show me the balance history for my checking account

查看账户的历史余额数据。

python

get_account_balance_history(account_id="acc_checking_123")

示例提示：

展示我支票账户的余额历史

get_net_worth_by_account_type

get_net_worth_by_account_type

Net worth breakdown across account types.

python

get_net_worth_by_account_type(
    start_date="2024-01-01",
    timeframe="monthly"
)

Example prompt:

Break down my net worth by account type for 2024

按账户类型拆分的净值详情。

python

get_net_worth_by_account_type(
    start_date="2024-01-01",
    timeframe="monthly"
)

示例提示：

按账户类型拆分展示我2024年的净值

get_transactions_summary

get_transactions_summary

Quick high-level statistics about transactions.

python

get_transactions_summary()

Example prompt:

Give me a summary of my transactions

交易记录的快速高级统计。

python

get_transactions_summary()

示例提示：

给我一份交易记录汇总

get_spending_summary

get_spending_summary

Spending breakdown by category.

python

get_spending_summary(
    start_date="2024-01-01",
    end_date="2024-01-31",
    limit=10
)

Example prompt:

Show me my top 10 spending categories for January

按分类拆分的支出详情。

python

get_spending_summary(
    start_date="2024-01-01",
    end_date="2024-01-31",
    limit=10
)

示例提示：

展示我1月份支出最多的10个分类

Common Patterns

常见模式

Monthly Budget Review

月度预算审核

python

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python

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1. Get current month budgets

1. 获取当前月份预算

budgets = get_budgets()

2. Check spending summary

2. 查看支出汇总

summary = get_spending_summary( start_date="2024-01-01", end_date="2024-01-31", limit=20 )

3. Review over-budget categories

3. 审核超预算分类

Identify categories where spent > budgeted

找出支出超过预算的分类

4. Adjust next month's budgets

4. 调整下个月的预算

set_budget_amount( amount=600.00, category_id="cat_groceries", start_date="2024-02-01", apply_to_future=True )

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set_budget_amount( amount=600.00, category_id="cat_groceries", start_date="2024-02-01", apply_to_future=True )

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Transaction Cleanup Workflow

交易记录清理流程

python

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python

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1. Find transactions needing review

1. 查找需要审核的交易记录

needs_review = get_transactions_needing_review( uncategorized=True, days=30 )

2. Categorize similar transactions in bulk

2. 批量分类相似交易记录

bulk_categorize_transactions( transaction_ids=["txn_1", "txn_2", "txn_3"], category_id="cat_groceries" )

3. Add notes where needed

3. 为需要的记录添加备注

update_transaction_notes( transaction_id="txn_4", notes="Reimbursable expense" )

update_transaction_notes( transaction_id="txn_4", notes="可报销费用" )

4. Mark reviewed

4. 标记为已审核

mark_transaction_reviewed(transaction_id="txn_4")

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mark_transaction_reviewed(transaction_id="txn_4")

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Auto-Categorization Setup

自动分类设置

python

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python

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1. Review common merchants

1. 查看常见商家

transactions = search_transactions( search="Spotify", limit=10 )

2. Create rule for automatic categorization

2. 创建自动分类规则

create_transaction_rule( merchant_criteria_operator="contains", merchant_criteria_value="Spotify", set_category_id="cat_subscriptions", add_tag_ids=["tag_recurring", "tag_entertainment"] )

3. Verify rule is working

3. 验证规则是否生效

rules = get_transaction_rules()

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rules = get_transaction_rules()

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Investment Portfolio Review

投资组合审核

python

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python

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1. Get all investment accounts

1. 获取所有投资账户

accounts = get_accounts() investment_accounts = [a for a in accounts if a['accountType'] == 'investment']

2. Check holdings for each

2. 查看每个账户的持仓

for acc in investment_accounts: holdings = get_account_holdings(account_id=acc['id'])

3. Review balance history

3. 查看余额历史

history = get_account_balance_history(account_id=acc['id'])

4. Check overall net worth trend

4. 查看整体净值趋势

net_worth = get_net_worth( start_date="2023-01-01", end_date="2024-12-31", account_type="investment" )

undefined

net_worth = get_net_worth( start_date="2023-01-01", end_date="2024-12-31", account_type="investment" )

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Expense Tracking with Tags

标签化费用跟踪

python

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python

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1. Create project-specific tags

1. 创建项目专属标签

create_tag(name="Project Alpha", color="#3498db") create_tag(name="Reimbursable", color="#e74c3c")

2. Tag relevant transactions

2. 为相关交易记录添加标签

set_transaction_tags( transaction_id="txn_123", tag_ids=["tag_project_alpha", "tag_reimbursable"] )

3. Search for all project expenses

3. 搜索所有项目费用

project_expenses = search_transactions( tag_ids=["tag_project_alpha"], start_date="2024-01-01", end_date="2024-12-31" )

4. Calculate total reimbursable amount

4. 计算总可报销金额

reimbursable = search_transactions( tag_ids=["tag_reimbursable"], start_date="2024-01-01", end_date="2024-01-31" )

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reimbursable = search_transactions( tag_ids=["tag_reimbursable"], start_date="2024-01-01", end_date="2024-01-31" )

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Authentication

认证

Check Authentication Status

检查认证状态

python

check_auth_status()

Example prompt:

Check if I'm authenticated with Monarch Money

python

check_auth_status()

示例提示：

检查我是否已通过Monarch Money认证

Get Setup Instructions

获取设置说明

python

setup_authentication()

Example prompt:

How do I set up authentication for Monarch Money?

python

setup_authentication()

示例提示：

如何设置Monarch Money的认证？

Troubleshooting

故障排除

Authentication Issues

认证问题

Problem: "Session not found" or authentication errors

Solution:

Run
```
python login_setup.py
```
from the terminal
Enter credentials and 2FA code if prompted
Restart Claude Desktop or Claude Code
Verify session file exists in
```
~/.monarch/session.pickle
```

问题： "会话未找到"或认证错误

解决方案：

在终端运行
```
python login_setup.py
```
按提示输入凭据和2FA验证码
重启Claude Desktop或Claude Code
验证会话文件是否存在于
```
~/.monarch/session.pickle
```

Missing Transactions

交易记录缺失

Problem: Transactions don't appear or are outdated

Solution:

python

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问题： 交易记录未显示或已过时

解决方案：

python

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Force a refresh from financial institutions

强制从金融机构刷新数据

refresh_accounts()

Wait a few minutes, then check again

等待几分钟后再次查看

get_transactions(limit=50)

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get_transactions(limit=50)

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Tool Not Found

工具未找到

Problem: MCP server not showing in Claude

Solution:

Verify configuration file path (macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

)

Check absolute paths in config - no
```
~
```
or relative paths
Restart Claude Desktop completely (quit and reopen)
Check Claude Desktop logs for errors

问题： MCP服务器未在Claude中显示

解决方案：

验证配置文件路径（macOS：

~/Library/Application Support/Claude/claude_desktop_config.json

）

检查配置中的绝对路径 - 不要使用
```
~
```
或相对路径
完全重启Claude Desktop（退出并重新打开）
查看Claude Desktop日志中的错误信息

Performance with Large Result Sets

大数据集性能问题

Problem: Timeouts or slow responses with many transactions

Solution:

python

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问题： 大量交易记录导致超时或响应缓慢

解决方案：

python

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Use pagination for large datasets

对大数据集使用分页

get_transactions(limit=100, offset=0) get_transactions(limit=100, offset=100)

Filter by date range

按日期范围过滤

get_transactions( start_date="2024-01-01", end_date="2024-01-31", limit=500 )

Use search with specific criteria

使用特定条件搜索

search_transactions( search="Amazon", start_date="2024-01-01", end_date="2024-01-31" )

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search_transactions( search="Amazon", start_date="2024-01-01", end_date="2024-01-31" )

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Split Transaction Issues

交易拆分问题

Problem: Split amounts don't sum to original transaction

Solution:

python

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问题： 拆分金额总和与原交易记录不符

解决方案：

python

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Ensure split amounts sum exactly to transaction amount

确保拆分金额总和与原交易记录完全一致

Original transaction: -$100

原交易记录：-$100

split_transaction( transaction_id="txn_123", splits=[ {"amount": -60.00, "category_id": "cat_1"}, {"amount": -40.00, "category_id": "cat_2"} ] )

Sum: -$100 ✓

总和：-$100 ✓

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Budget Not Updating

预算未更新

Problem: Budget changes not reflected

Solution:

python

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问题： 预算更改未生效

解决方案：

python

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Ensure apply_to_future is set correctly

确保apply_to_future设置正确

set_budget_amount( amount=500.00, category_id="cat_dining", start_date="2024-02-01", apply_to_future=True # Apply to current and future months )

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set_budget_amount( amount=500.00, category_id="cat_dining", start_date="2024-02-01", apply_to_future=True # 应用于当前及未来月份 )

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Environment Variables

环境变量

The server uses secure session storage. No environment variables are required for normal operation.

Session storage location:

macOS/Linux:
```
~/.monarch/session.pickle
```
Windows:
```
%USERPROFILE%\.monarch\session.pickle
```

服务器使用安全会话存储。正常运行无需环境变量。

会话存储位置：

macOS/Linux：
```
~/.monarch/session.pickle
```
Windows：
```
%USERPROFILE%\.monarch\session.pickle
```