IWAC (Islam West Africa Collection) is a Model Context Protocol (MCP) server that grants AI assistants structured, read-only access to a vast digital archive focused on Islam and Muslims in West Africa.

Which AI models are used for sentiment analysis in IWAC?

IWAC integrates sentiment analysis from three leading AI models: Gemini, ChatGPT, and Mistral. It also offers tools to compare sentiment scores and distributions across these models.

Who can benefit from using IWAC?

IWAC is ideal for researchers, academics, data scientists, and digital humanities practitioners interested in West African history, culture, and religious studies, providing structured data for AI-driven analysis.

What data can I access through IWAC?

IWAC provides access to over 12,000 newspaper articles, 4,600+ index entries (persons, places, subjects), publications, references, and audiovisual materials, primarily from the 1960s onward across West African countries.

Are API credentials required to use IWAC?

No, IWAC does not require any API credentials. It leverages a publicly available Hugging Face dataset for its data, making it accessible out-of-the-box.

IWAC

Name: IWAC
Author: fmadore

byfmadore

データサイエンスとML

API開発

コンテンツ管理

Provides AI assistants with structured access to the Islam West Africa Collection (IWAC), a vast digital archive of newspaper articles, sentiment analysis, and index data.

概要

The IWAC server acts as a read-only Model Context Protocol (MCP) interface, enabling AI assistants to interact with the comprehensive Islam West Africa Collection. This digital archive encompasses over 12,000 newspaper articles from six West African countries, along with extensive index entries and AI-driven sentiment analysis from models like Gemini, ChatGPT, and Mistral. By abstracting the complexities of data access, the server offers 16 specialized tools to search articles, analyze sentiment, explore index entries, and retrieve collection statistics, all powered by efficient in-memory DataFrame queries using the public Hugging Face dataset, requiring no API credentials.

主な機能

No API credentials required, utilizing a public Hugging Face dataset
16 read-only tools for articles, index entries, publications, references, and audiovisual materials
0 GitHub stars
AI sentiment analysis from Gemini, ChatGPT, and Mistral, with comparison tools
Cursor-based pagination for efficient search and list tools
In-memory DataFrame queries for fast, offline-capable searches

ユースケース

Analyzing historical newspaper articles and sentiment trends across West African countries
Empowering AI assistants to conduct research and retrieve information from the Islam West Africa Collection
Exploring specific persons, places, organizations, and subjects within the IWAC digital archive

概要

主な機能

No API credentials required, utilizing a public Hugging Face dataset
16 read-only tools for articles, index entries, publications, references, and audiovisual materials
0 GitHub stars
AI sentiment analysis from Gemini, ChatGPT, and Mistral, with comparison tools
Cursor-based pagination for efficient search and list tools
In-memory DataFrame queries for fast, offline-capable searches

ユースケース

Analyzing historical newspaper articles and sentiment trends across West African countries
Empowering AI assistants to conduct research and retrieve information from the Islam West Africa Collection
Exploring specific persons, places, organizations, and subjects within the IWAC digital archive