Read-only access to the Islam West Africa Collection via Hugging Face datasets.
Read-only access to the Islam West Africa Collection via Hugging Face datasets. That is what the islam west africa collection (iwac) mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Each release ships a server bundle for your operating system plus a research-skill .zip. The .mcpb gives Claude the data and tools; the .zip adds a research skill that teaches Claude how to use them. Install the server first, then install the skill too — strongly recommended for getting the most out of the tools: it makes Claude search and synthesize far more efficiently, with fewer wasted queries.
IWAC is a digital archive focused on Islam and Muslims in West Africa:
The server publishes 13 tools. What each one is for:
Data — parquet files from theTransports — stdio (the default — what the Claude Desktop .mcpb uses),Group — ToolsCross-subset — search, fetchArticles — search_articles, get_article, semantic_search_articlesSentiment — search_by_sentiment, get_sentiment_distributionIndex — search_index, get_index_entry, list_subjects, list_locations, list_personsStats — get_collection_stats, get_newspaper_stats, get_country_comparison, get_temporal_distributionAggregates — get_topic_distribution, get_field_distribution, get_cooccurrence, get_lexical_metrics, get_place_distribution, get_semantic_map, get_similar_itemsPublications — search_publications, list_periodicals, get_publication_fulltext, semantic_search_publicationsReferences — search_references, get_referenceImages — search_images, get_image, semantic_search_imagesBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Islam West Africa Collection (IWAC)'s toolset — Data, Transports, Group and 10 more — is a fair guide to whether it matches your workflow. It is maintained by fmadore; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Data | parquet files from the |
| Transports | stdio (the default — what the Claude Desktop .mcpb uses), |
| Group | Tools |
| Cross-subset | search, fetch |
| Articles | search_articles, get_article, semantic_search_articles |
| Sentiment | search_by_sentiment, get_sentiment_distribution |
| Index | search_index, get_index_entry, list_subjects, list_locations, list_persons |
| Stats | get_collection_stats, get_newspaper_stats, get_country_comparison, get_temporal_distribution |
| Aggregates | get_topic_distribution, get_field_distribution, get_cooccurrence, get_lexical_metrics, get_place_distribution, get_semantic_map, get_similar_items |
| Publications | search_publications, list_periodicals, get_publication_fulltext, semantic_search_publications |
| References | search_references, get_reference |
| Images | search_images, get_image, semantic_search_images |
| Other | search_documents, get_document, search_audiovisual, list_audiovisual, get_audiovisual |
{
"mcpServers": {
"iwac": {
"command": "npx",
"args": ["-y", "npm"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.