mcp-bw-modelling-api

mcp-bw-modelling-api

Enables AI assistants to explore and query SAP BW/4HANA modeling objects and metadata, such as InfoAreas, InfoObjects, ADSOs, CompositeProviders, and Queries.

Category
访问服务器

README

MCP Server - SAP BW Modeling API

An MCP (Model Context Protocol) server that exposes SAP BW4/HANA modeling objects as tools via FastMCP. Allows AI assistants to explore and query your BW system's metadata: InfoAreas, InfoObjects, ADSOs, CompositeProviders, Queries, and more.

Prerequisites

  • Python 3.10+
  • Access to a SAP BW4/HANA system with the BW Modeling API enabled (/sap/bw/modeling/)
  • A SAP user with appropriate authorizations for the Modeling API

Installation

pip install -r requirements.txt

Configuration

The server is configured via environment variables:

Variable Required Description Default
BW_BASE_URL Yes Base URL of the BW system (e.g. https://bw4hana.example.com)
BW_USERNAME Yes SAP username
BW_PASSWORD Yes SAP password
BW_CLIENT No SAP client number 100
BW_VERIFY_SSL No Verify SSL certificates (true/false) false

Running the Server

Standalone (stdio transport)

python server.py

With FastMCP CLI

fastmcp run server.py:mcp

HTTP transport

fastmcp run server.py:mcp --transport http --port 8000

MCP Client Configuration

Add this to your MCP client config (e.g. .kiro/settings/mcp.json):

{
  "mcpServers": {
    "bw-modeling": {
      "command": "python",
      "args": ["path/to/server.py"],
      "env": {
        "BW_BASE_URL": "https://your-bw-system.example.com",
        "BW_USERNAME": "your_user",
        "BW_PASSWORD": "your_password",
        "BW_CLIENT": "100"
      }
    }
  }
}

Running from GitHub with uvx (no local clone)

Colleagues can run this server straight from the GitHub repo without cloning it, using uvx (the runner that ships with uv). This is the Python equivalent of npx for Node packages.

Prerequisite

Each user needs uv installed (it provides the uvx command). Install it once:

  • Windows (PowerShell): powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
  • macOS/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

See the uv install guide for other options. No manual clone or pip install is needed — uvx fetches, builds, and runs the server on demand.

Client configuration

{
  "mcpServers": {
    "bw-modeling": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/felipetomazzi-source/mcp-bw-modelling-api.git@v1.0.0",
        "mcp-bw-modeling-api"
      ],
      "env": {
        "BW_BASE_URL": "https://your-bw-system.example.com",
        "BW_USERNAME": "your_user",
        "BW_PASSWORD": "your_password",
        "BW_CLIENT": "100"
      }
    }
  }
}

Version pinning (recommended for sharing)

The @v1.0.0 suffix pins to a specific release tag. This matters for teams:

  • With a pinned tag, each user's uvx cache stays valid across day-to-day pushes to main; it only rebuilds when you publish a new tag.
  • Without a tag (tracking main), the cache is invalidated on every push, so users hit a slow cold rebuild (see below) after each change you make.

To ship an update: push to main, create a new tag (e.g. v1.1.0), and have users bump the @v1.0.0 in their config.

First-launch behavior (important)

On the very first launch on a machine (or the first launch of a new version), uvx clones the repo and installs its dependencies before the server starts. This cold build can take longer than the MCP client's startup window, so the server may show as failed on the first attempt and then connect on a retry.

Notes:

  • Kiro's MCP configuration has no startup-timeout setting, so this cannot be extended via config. If a first launch times out, simply restart the server.

  • To avoid the timeout entirely, pre-warm the cache once in a terminal before first use (this fetches + builds without any client timeout):

    uvx --from "git+https://github.com/felipetomazzi-source/mcp-bw-modelling-api.git@v1.0.0" mcp-bw-modeling-api
    

    Press Ctrl+C once it prints the "Starting MCP server ... with transport 'stdio'" banner. Subsequent launches from the client are fast.

Available Tools

Tool Description
check_connection Test connectivity to the BW system
search_bw_objects Search for any BW object by name/type
list_infoareas List all InfoAreas (organizational folders)
list_infoobjects List InfoObjects (characteristics, key figures)
list_adsos List Advanced DataStore Objects
list_composite_providers List CompositeProviders (HCPR)
list_queries List BEx/BW Queries
get_object_details Get full metadata for any BW object
get_infoobject_details Get InfoObject properties, incl. navigational vs display attributes and compounding
get_adso_fields Get field list of an ADSO
get_composite_provider_parts Get the source (part) providers of a CompositeProvider
get_infoarea_contents List objects in an InfoArea (flat search)
get_infoarea_tree List objects under an InfoArea via the InfoProvider structure (recursive, reliable)
get_transformation_details Get transformation metadata (source, target, rules)
get_query_structure List a query's characteristics, key figures, and measures (restricted + calculated)
get_query_filters Read a query's filters (fixed/default) and restricted key figures
get_data_flow Show lineage: inbound/outbound transformations and DTPs (with source/target, status, and process chains)

Supported Object Types

Code Object Type
AREA InfoArea
IOBJ InfoObject
ADSO DataStore Object (advanced)
HCPR CompositeProvider
QUERY Query
TRFN Transformation
DTP Data Transfer Process
MPRO MultiProvider
ODSO DataStore Object (classic)

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