Monobank MCP Server
Monobank MCP 服务器 (Node.js/TypeScript)
Node.js/TypeScript 实现 的 Monobank MCP Server(原版使用 Python 编写)。
Monobank MCP 服务器将您的 Monobank 个人账户(以及公开汇率)作为模型上下文协议 (MCP) 工具公开。
关于此版本
这是由 @nklymok 开发的原始 Python 实现的 Node.js/TypeScript 移植版。
原始 Python 版本: https://github.com/nklymok/Monobank-MCP
此 TypeScript 版本: 保留了相同的核心个人账户工具,并结合了 Node.js/TypeScript 生态系统的优势,此外还增加了一个无需令牌的公开汇率工具。
Related MCP server: Monobank MCP Server
功能
使用官方
@modelcontextprotocol/sdk的 TypeScript/Node.js MCP 服务器MCP 工具:
get_client_info– 客户身份、账户和储蓄罐(需要MONOBANK_API_TOKEN)。get_statement– 指定时间窗口内的账户对账单(需要令牌)。在调用 API 之前会验证时间段;响应使用主单位金额,交易时间使用 ISO 8601 UTC 格式。get_currency_rates– 来自 Monobank 的公开货币汇率 (GET /bank/currency)。无需 API 令牌。
使用方法(已发布包)
使用此 MCP 服务器最简单的方法是通过已发布的 npm 包:
在您的 MCP 配置中注册服务器
{ "mcpServers": { "monobank-mcp": { "command": "npx", "args": ["-y", "@alerix/monobank-mcp"], "env": { "MONOBANK_API_TOKEN": "your_token_here" } } } }仅当您使用
get_client_info或get_statement时才需要设置MONOBANK_API_TOKEN。get_currency_rates无需此令牌即可工作。运行您的 MCP 客户端 – 工具将根据您的配置可用。
开发
如果您想贡献代码或修改服务器:
克隆并安装依赖项
git clone https://github.com/aler1x/monobank-mcp.git cd monobank-mcp npm install安装后运行服务器(
prepare会执行npm run build)。对于个人工具,请设置MONOBANK_API_TOKEN。Windows (PowerShell):
$env:MONOBANK_API_TOKEN="your_token_here" node dist/index.jsWindows (命令提示符):
set MONOBANK_API_TOKEN=your_token_here node dist\index.jsmacOS/Linux:
export MONOBANK_API_TOKEN=your_token_here node dist/index.js或单行命令:
MONOBANK_API_TOKEN=your_token_here node dist/index.js热重载开发 (使用
tsx --watch):MONOBANK_API_TOKEN=your_token_here npm run dev构建 (TypeScript →
dist/):npm run build
工具参考
工具 | 描述 | 令牌 | 速率限制 (Monobank) |
| 获取客户资料、账户和储蓄罐列表。 | 是 | 1 次请求 / 60 秒 |
| 获取账户和期间的交易记录。参数: | 是 | 1 次请求 / 60 秒 |
| 公开汇率(ISO 4217 数字货币代码)。与 Monobank | 否 | 按 Monobank 公开 API 规定 |
API 令牌
个人工具需要 Monobank 个人 API 令牌。请参阅官方文档:https://api.monobank.ua/index.html
环境变量
名称 | 必需 | 描述 |
| 仅用于 | 您来自 https://api.monobank.ua/index.html 的个人 Monobank API 令牌。 |
许可证
MIT
Available Tools
2 toolsget_client_infoA
Get client information from Monobank API. This tool retrieves information about the client, their accounts, and jars. It requires a Monobank API token with the necessary permissions.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the authentication requirement (API token with permissions) which is valuable context, but doesn't describe what information is returned, whether there are rate limits, error conditions, or other behavioral traits. It adequately covers the basic operation but lacks detail about the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately concise with two sentences that each add value. The first sentence states the purpose, and the second adds important context about authentication requirements. There's no wasted text, though it could be slightly more structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that this is a read operation with no parameters and no output schema, the description provides adequate but minimal information. It covers the purpose and authentication requirements, but doesn't describe what specific information is returned or the format of the response. For a tool that retrieves client information, more detail about the return data would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description doesn't need to add parameter information, and it appropriately doesn't discuss parameters. The baseline for 0 parameters with full schema coverage is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get client information from Monobank API' with specific resources mentioned (client, accounts, jars). It distinguishes from the sibling tool 'get_statement' by focusing on client metadata rather than transaction data. However, it doesn't explicitly contrast with the sibling, so it's not a perfect 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides some usage context by mentioning the required API token and permissions, but doesn't explicitly state when to use this tool versus alternatives. It implies usage for retrieving client metadata but doesn't provide guidance about when not to use it or what the sibling tool 'get_statement' is for.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_statementA
Get account statement for a given period. Rate limit: 1 request per 60 seconds. Max period: 31 days + 1 hour. Rules: 1. Fetch from default account (account_id = '0') unless another account is specified. 2. Amounts are converted from the smallest currency unit (e.g., kopiyka, cent) to the main unit and returned as decimals. 3. Transaction timestamps ('time') are converted from Unix timestamps to ISO 8601 datetime strings (UTC). 4. Fields 'id', 'invoiceId', 'counterEdrpou', and 'counterIban' are omitted from the returned results.
| Name | Required | Description | Default |
|---|---|---|---|
| account_id | Yes | Account identifier from the list of accounts, or '0' for default | |
| from_timestamp | Yes | Start of the statement period (Unix timestamp) | |
| to_timestamp | Yes | End of the statement period (Unix timestamp) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes rate limits ('1 request per 60 seconds'), constraints ('Max period: 31 days + 1 hour'), data transformation rules (currency conversion, timestamp formatting), and output filtering (omitted fields), providing comprehensive behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is efficiently structured with a clear purpose statement followed by rate limits, constraints, and specific rules in a numbered list format. Every sentence adds value without redundancy, making it easy to parse and understand.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description does an excellent job covering behavioral aspects, constraints, and data transformations. However, it doesn't explicitly describe the return format or structure of the statement data, which would be helpful given the lack of output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so the schema already documents all three parameters thoroughly. The description adds some context about default account behavior ('account_id = '0' unless another is specified') and timestamp usage, but doesn't provide significant additional parameter meaning beyond what the schema offers.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Get account statement') and resource ('for a given period'), distinguishing it from the sibling tool 'get_client_info' which presumably retrieves different information. It provides concrete details about what the tool does beyond just the name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage by specifying a period requirement and default account behavior, but it doesn't explicitly state when to use this tool versus alternatives or provide any exclusion criteria. It offers some context but lacks explicit guidance on tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
get_client_info - First observed
get_statement
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_client_info retrieves client metadata, accounts, and jars, while get_statement fetches transaction data for a specific period. There is no overlap or ambiguity between these functions.
Both tools follow a consistent verb_noun naming pattern (get_client_info, get_statement) with identical verb style and snake_case formatting, making them predictable and easy to understand.
With only two tools, the server feels severely under-scoped for a banking API. Key operations like creating transactions, managing accounts, or updating client details are missing, limiting its utility for comprehensive financial tasks.
The toolset is highly incomplete for a banking domain. It only supports read operations (get_client_info, get_statement) with no ability to perform writes (e.g., transfers, payments), updates, or deletions, leaving significant gaps in typical banking workflows.
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