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satya01-sap

SAP Ariba MCP Server

by satya01-sap

欢迎使用 SAP Ariba MCP 服务器。

  1. 简介

  2. 在本地运行和检查 MCP 服务器

  3. 在 BTP 中部署 MCP 服务器

  4. 为 MCP 服务器设置目标

  5. 检查远程部署的 MCP 服务器

简介

Related MCP server: caseware-kb

在本地运行和检查 MCP 服务器

  1. 要在本地运行 MCP 服务器,请打开终端并输入 uv run main.py。您可以在终端中看到 Uvicorn 正在运行。

  2. 现在打开另一个终端并输入命令 uv run mcp dev main.py。它将打开检查器,只需将检查器 URL 粘贴到浏览器中即可。

  3. 按如下方式设置参数 -

    • 传输类型 (Transport Type) 为 STDIO。

    • 命令 (Command) 为 UV。

    • 参数 (Arguments) 为 run --with mcp mcp run main.py。

    现在打开 ⚙️ 配置 (Configuration) 并填写以下字段 -

    • 检查器代理地址 (Inspector Proxy Address) 为 http://127.0.0.1:6277,您可以在终端中找到它,如截图所示。

    • 代理会话令牌 (Proxy Session Token) - 从终端复制会话 ID 并粘贴。

  4. 现在点击连接按钮,它将连接到 MCP 服务器。现在您可以看到 resources、prompts、tools,点击 tools 然后选择 List Tools,您就可以看到您指定的工具。

  5. 提供工具 get_event_summary 并提供以下输入 -

    • doc_id

    • user

    • password_adapter

    • realm

然后点击运行工具并查看输出。

> Conclustion - We have locally tested the MCP server successfully.  

在 BTP 中部署 MCP 服务器

为 MCP 服务器设置目标

检查远程部署的 MCP 服务器

让我们检查远程部署的 MCP 服务器。

  1. 在终端中运行检查命令 uv run mcp dev main.py

  2. 在检查器中按如下方式设置参数 -

    • 传输类型 (Transport Type) 为 STDIO。

    • 命令 (Command) 为 UV。

    • 参数 (Arguments) 为 run --with mcp mcp run main.py。

Available Tools

1 tool
get_event_summaryB

Retrieve supplier bids for a sourcing event.

Args: doc_id: Document ID (e.g., 'Doc1213131') user: Username (e.g., myuser) password_adapter: Password adapter (e.g., 'myadaptor') realm: Realm name (e.g., 'myrelm')

ParametersJSON Schema
NameRequiredDescriptionDefault
userYes
realmYes
doc_idYes
password_adapterYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must shoulder the burden of behavioral disclosure. 'Retrieve' implies a read-only operation, and the credential arguments hint at authentication requirements, but the description does not mention error behavior, side effects, return format, or any special constraints. This is minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well organized: one purpose sentence followed by a tidy args block. Every element serves a function, and the examples are efficiently embedded. No filler or redundant content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 4-parameter retrieval tool with an output schema available, the description supplies the call parameters and examples, which is decent. However, it omits when-to-use guidance, where credential values come from, and any operational context such as error conditions or required permissions. It is usable but not fully self-contained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only property titles with 0% description coverage, so the description's Args block is essential. It labels each parameter and gives concrete examples (e.g., doc_id as 'Doc1213131', password_adapter as 'myadaptor'), which materially helps an agent understand expected values. It does not explain edge cases or validation, but it compensates well for the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific operation: 'Retrieve supplier bids for a sourcing event.' The verb and resource are explicit, though there is a slight mismatch between the tool name ('event summary') and the described output ('supplier bids'). No sibling tools exist, so differentiation isn't possible, but the core purpose is understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool, what scenarios it applies to, or when to prefer an alternative. The description is purely declarative and provides no context about typical use cases or prerequisites beyond listing required arguments.

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.

  1. 1 tool updatev0.1.0
    • First observedget_event_summary

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or misselection between tools. The single tool's purpose is clearly defined.

Naming Consistency5/5

The one tool name (get_event_summary) follows a clear verb_noun pattern and is internally consistent. Since there are no other tools, there are no naming inconsistencies.

Tool Count2/5

A single tool is far too few for a server named 'SAP Ariba MCP Server,' which implies a broad procurement/sourcing domain. This is a significant under-provisioning for the apparent scope.

Completeness1/5

The tool only retrieves supplier bids for a sourcing event. There are no operations for managing events, suppliers, bids, or any other typical lifecycle actions, making the surface severely incomplete for the stated domain.

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

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  • A
    license
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    quality
    D
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    Exposes 48 SAP Ariba APIs as Claude-compatible tools for managing procurement, sourcing, supplier management, and supply chain data. It enables AI agents to interact with contracts, catalogs, and business network transactions through natural language.
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  • F
    license
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    D
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    Enables querying procurement documents (invoices, purchase orders, shipping orders, inventory reports) via semantic search, order ID lookups, gap analysis, and source excerpt retrieval.
    -