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# Shiranui
Shiranui is [the Model Context Protocol](https://modelcontextprotocol.io/introduction)(MCP) Server for retreiving the clinical standard contents in [the CDISC Library](https://library.cdisc.org/browser/#/).  
This MCP server is built with [Python FastMCP](https://github.com/jlowin/fastmcp).

https://github.com/user-attachments/assets/9cd7e1a6-2750-4910-bb03-763c323b9f22

## Support CDISC Library API
- v2 Biomedical Concept Endpoints
- v2 Dataset Specialization Endpoints
- Controlled Terminology Codelist Endpoints
- ADaM Variable Metadata Endpoints
- SDTM Metadata Endpoints
- CDASH Metadata Endpoints
- SEND Metadata Endpoints
- Search Tool

## Requirements
- [Python v3.13](https://www.python.org/downloads/) and [UV](https://docs.astral.sh/uv/getting-started/installation/) were installed on your device.
- You have the [CDISC Library API Key](https://api.developer.library.cdisc.org/signin?returnUrl=%2Fapi-details).
  
## Installation
Download Shiranui from the [Releases Page](https://github.com/i-akiya/Shiranui/releases).
### Mac and Linux
```bash
cd /your/shiranui/dir
uv sync
```
Set your API key as an environment variable named CDISC_LIBRARY_API_KEY.   
### Windows
Use back slash "\\" for path separator charactor.
```powershell
cd C:\your\shiranui\dir
uv sync
```
Set your API key as an environment variable named CDISC_LIBRARY_API_KEY.   
  
## Configure mcp client
### LM Studio
#### Mac and Linux
```
{
  "mcpServers": {
    "Shiranui": {
      "command": "uv",
      "args": [
        "run",
        "/full/path/to/shiranui/dir/.venv/bin/shiranui"
      ]
    }
  }
}
```
#### Windows
Use slash"/" for path separator charactor.
```
{
  "mcpServers": {
    "Shiranui": {
      "command": "uv",
      "args": [
        "run",
        "C:/full/path/to/shiranui/dir/.venv/Scripts/shiranui"
      ]
    }
  }
}
```
You need to replace "/full/path/to/shiranui/dir" to match your own environment.  
In addition to LM Studio, it may also work with Claude Desktop, Codename Goose, and other MCP Clients.

  
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

TDQS

C2.8/5.0

Scored across 31 tools

Disambiguation2/5

Many tools form near-duplicate clusters, especially the five SDTM dataset specialization tools and the Biomedical Concept tools (get_latest_bc vs get_latest_bc_cat vs get_latest_bc_list). Several descriptions even reference the wrong function name, e.g., get_latest_bc's usage calls get_latest_bc_cat, increasing confusion.

Naming Consistency2/5

Tools consistently use get_ prefix and snake_case, but word order and qualifier placement vary unpredictably: get_sdtm_dataset_specialization_list_for_package vs get_sdtm_dataset_specialization_package_list, and get_ct_latest_version vs get_sdtm_latest_version. Singular/plural forms are also mixed, and abbreviations like bc, ct, cdashig are inconsistently placed.

Tool Count2/5

31 tools is excessive for what is essentially a read-only metadata retrieval API. Many tools could be consolidated with standard and version parameters, and the count exceeds the reasonable upper bound for a coherent tool set.

Completeness4/5

The set covers SDTM, ADaM, CDASH, SEND, Controlled Terminology, Biomedical Concepts, dataset specializations, and search, so major workflows are supported. Minor gaps exist, such as no direct ADaM-IG version tool or general package list, but these are workable.

Maintenance

ActivityInactive
ResponsivenessNo issues