MCP server providing AI assistants with structured access to the Islam West Africa Collection (IWAC) — 12,000+ newspaper articles, sentiment analysis, and index data from six West African countries.
git clone https://github.com/fmadore/iwac-mcp-server{
"mcpServers": {
"iwac": {
"command": "node",
"args": ["/path/to/iwac-mcp-server/dist/index.js"]
}
}
}Resumen de MCP Servers
# IWAC MCP Server A read-only [Model Context Protocol](https://modelcontextprotocol.io/) server for the [Islam West Africa Collection (IWAC)](https://islam.zmo.de/s/westafrica/). Ships as a one-click [Desktop Extension](https://github.com/modelcontextprotocol/mcpb) (`.mcpb`) for Claude Desktop, backed by the [IWAC Hugging Face dataset](https://huggingface.co/datasets/fmadore/islam-west-africa-collection). Also available as a **hosted endpoint** at `https://islam.zmo.de/mcp/` for ChatGPT and other MCP clients — see [docs/connecting.md](docs/connecting.md) for the full connection walkthrough (Claude Desktop and ChatGPT). ## Install Each [release](https://github.com/fmadore/iwac-mcp-server/releases) 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. ### 1. The MCP server — pick the bundle for your OS | Your OS | Download | | ---------------------------------- | ------------------------------ | | Windows (Intel/AMD or Snapdragon) | `iwac-mcp-server-windows.mcpb` | | macOS (Apple Silicon or Intel) | `iwac-mcp-server-macos.mcpb` | 1. Download the bundle for your OS from [Releases](https://github.com/fmadore/iwac-mcp-server/releases). 2. Double-click the file. Claude Desktop shows an install dialog — click **Install**. 3. On first use the server downloads ~250 MB of parquet data from Hugging Face into `~/.iwac-mcp/cache/` (override in the extension settings). No Python, no `uv`, no venv — the bundle ships a self-contained Node runtime and the DuckDB binaries for your OS (x64 and arm64; Claude Desktop picks the right one). Claude Desktop has no Linux build, so no Linux bundle is published. ### 2. The research skill — `iwac-mcp-skill.zip` (strongly recommended) The [`iwac-mcp` skill](.agents/skills/iwac-mcp/SKILL.md) wraps the raw tools in a structured research workflow: a five-phase methodology, francophone search strategy, source attribution with confidence grading, and bias/coverage caveats. **It makes the server far more efficient to use** — Claude picks the right tool and search terms on the first pass (fewer wasted queries), searches French sources properly, and returns a cited synthesis instead of a raw tool dump. You can run the tools without it, but you'll get more out of every query with it installed. Download `iwac-mcp-skill.zip` from the same release, then: - **Claude Desktop** — open **Customize → Skills → + → Create skill → Upload a skill** and select the zip. (Or unzip it into `~/.claude/skills/` and restart Claude Desktop.) - **Claude Code** — unzip it into your skills directory; Claude Code discovers it live, no restart needed: ```bash # macOS / Linux unzip iwac-mcp-skill.zip -d ~/.claude/skills/ ``` ```powershell # Windows (PowerShell) Expand-Archive iwac-mcp-skill.zip -DestinationPath $HOME\.claude\skills\ ``` Both land the skill at `~/.claude/skills/iwac-mcp/`. The repository source of truth is `.agents/skills/iwac-mcp/`; keep project-local copies there rather than duplicating the same skill under `.claude/`. ## What it gives Claude 27 possible read-only tools across six IWAC subsets. **25 work out of the box**; the 2 `semantic_search_*` tools are optional and require a free Google/Gemini API key (disabled by default). All keyword and filter matching is accent- and case-insensitive. The unified `search`/`fetch` pair, the stats tools, `list_periodicals`, and `get_sentiment_distribution` also return MCP structured content (`outputSchema` + `structuredContent`), which the ChatGPT connector contract requires. | 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` | | Publications | `search_publications`, `list_periodicals`, `get_publication_fulltext`, `semantic_search_publications` | | References | `search_references`, `get_reference` | | Other | `search_documents`, `get_document`, `search_audiovisual`, `list_audiovisual`, `get_audiovisual` | The three full-text tools — `get_article`, `get_document`, and `get_publication_fulltext` — optionally take a `keyword` to return ~2000-char excerpts around each match, so Claude reads just the relevant passages of a long article, archival document, or periodical issue instead of the whole OCR. Every result object includes a `url` field pointing at the canonical IWAC record, e.g. `https://islam.zmo.de/s/afrique_ouest/item/28576`. ## About the collection IWAC is a digital archive focused on Islam and Muslims in West Africa: - **12,000+ newspaper articles** from Benin, Burkina Faso, Côte d'Ivoire, Niger, and Togo, 1960s–present (mostly French), each with an AI abstract and Gemini sentiment analysis (polarity / centrality / subjectivity) - **4,700+ authority records** (persons, organisations, places, events, subjects) - **1,500+ Islamic publications** (periodical issues, books) with full OCR - **860+ academic references**, half with abstracts - Archival documents and Nigerian audiovisual materials ## Architecture - **Data**: parquet files from the [IWAC Hugging Face dataset](https://huggingface.co/datasets/fmadore/islam-west-africa-collection) are lazily downloaded per subset (articles, publications, documents, audiovisual, index, references) into a local cache and queried through DuckDB views. All SQL is parameterised; matching is accent/case-insensitive. - **Transports**: stdio (the default — what the Claude Desktop `.mcpb` uses), and a stateless Streamable-HTTP mode (`node server/index.js --http`) behind a bearer token, which the Docker image runs for the hosted `https://islam.zmo.de/mcp/` endpoint. - **Docker**: every release publishes `ghcr.io/fmadore/iwac-mcp-server` for self-hosting the HTTP endpoint — see [`mcpb/README.md`](mcpb/README.md#remote-http--docker-deployment) for the required env vars and token setup. ## Develop The bundle lives under [`mcpb/`](mcpb/). See [`mcpb/README.md`](mcpb/README.md) for the build / pack workflow. ```bash cd mcpb npm install npm run install-bindings # fetch the 4 macOS/Windows DuckDB binaries npm run typecheck # tsc --noEmit npm run lint # biome (linter only) npm run build # esbuild -> single server/index.js npm test # unit tests + offline fixture & HTTP MCP round-trips (no network) npm run test:live # full smoke test against the real HF dataset (~250 MB) ``` CI runs the version check, typecheck, lint, build, unit tests, and the offline fixture + HTTP round-trip tests on every push to `main` and every pull request; the live smoke test runs weekly (its pinned counts are the dataset-drift alarm). Releases: push a `v*` tag — the release workflow re-runs the full test suite, packs the per-OS `.mcpb` bundles and skill zip, smoke-tests and pushes the Docker image, uploads the release assets, and publishes to the MCP Registry. ## Roadmap See [TODO.md](TODO.md) — near-term: submit to the Anthropic extension directory, sign the bundle with a production code-signing cert, and replace Gemini semantic-search with a free local model. ## License [MIT](LICENSE) ## Related - [IWAC Hugging Face Dataset](https://huggingface.co/datasets/fmadore/islam-west-africa-collection) - [IWAC Digital Archive](https://islam.zmo.de/s/westafrica/) - [Desktop Extensions spec (MCPB)](https://github.com/modelcontextprotocol/mcpb)
Lo que la gente pregunta sobre iwac-mcp-server
¿Qué es fmadore/iwac-mcp-server?
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fmadore/iwac-mcp-server es mcp servers para el ecosistema de Claude AI. MCP server providing AI assistants with structured access to the Islam West Africa Collection (IWAC) — 12,000+ newspaper articles, sentiment analysis, and index data from six West African countries. Tiene 1 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala iwac-mcp-server?
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Puedes instalar iwac-mcp-server clonando el repositorio (https://github.com/fmadore/iwac-mcp-server) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar fmadore/iwac-mcp-server?
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fmadore/iwac-mcp-server aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene fmadore/iwac-mcp-server?
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fmadore/iwac-mcp-server es mantenido por fmadore. La última actividad registrada en GitHub es de today, con 5 issues abiertos.
¿Hay alternativas a iwac-mcp-server?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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