Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Islam West Africa Collection (IWAC)

by fmadoreversion 6.0.0i★ –iComputer or cloud
Registry nameio.github.fmadore/iwac-mcp-server

Install

Overview

Description from the maker (original English)

Read-only access to the Islam West Africa Collection via Hugging Face datasets.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://islam.zmo.de/mcp/

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add --transport http iwac https://islam.zmo.de/mcp/

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "iwac": {
      "url": "https://islam.zmo.de/mcp/"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "iwac": {
      "type": "http",
      "url": "https://islam.zmo.de/mcp/"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://islam.zmo.de/mcp/

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.

  • search

    Search the Islam West Africa Collection across newspaper articles, Islamic publications, archival documents, academic references, audiovisual recordings, photographs, and the authority index (persons/places/organisations/events/subjects). Pass ONE concept or name — e.g. 'Tijaniyy

  • fetch

    Retrieve the full text and metadata of one IWAC item by an id returned from `search` (format ' : ', e.g. 'articles:28576'). Returns {id, title, text, url, metadata}: `text` is the item's OCR / abstract / transcription / description, `url` is the canonical islam.zmo.de link to cit

  • explore_corpus

    Selection workbench: items, concordance, coverage, compare (requires comparison), attention, aliases, or paginated manifest/CSL-JSON/BibTeX exports. Exact filters intersect. limit/offset also page compare/coverage/attention cells. Coverage measures archive availability. Exports i

  • search_articles

    Search IWAC newspaper articles by keyword (title + OCR + AI abstracts, French and English), country, newspaper, subject, and date range. Use French concept keywords regardless of the user's report language. Matching is accent- and case-insensitive.

  • get_article

    Get one article (by id): full metadata, the AI abstract (description_ai), AI sentiment, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead.

  • semantic_search_articles

    Semantic search over article title + full text, including articles whose OCR is not public. Query in any language. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.

  • search_by_sentiment

    Filter articles by claude-haiku-5-5 sentiment labels (accent/case-insensitive exact match). One model's reading, not a consensus — 5 other models scored the same articles and often disagree; get_sentiment_distribution with model:"all" shows by how much. `subjectivity` is much the

  • get_sentiment_distribution

    Aggregate AI labels over a shared selection. model:"all" compares independent annotators and their coverage; model:"consensus" reads the stored panel majority. Choose compare_models and agreement_field for pairwise Cohen's kappa and quadratic weighted kappa, with explicit denomin

  • search_index

    Search the IWAC authority index (persons, places, organisations, events, subjects) by name. Accent/case-insensitive.

  • get_index_entry

    Get full details of an index entry by id (raw dataset columns, French names — Titre, Prénom, Coordonnées…).

  • list_subjects

    List sujets from the IWAC index, sorted by frequency (most-referenced first).

  • list_locations

    List lieux from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can appe

  • list_persons

    List personnes from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can

  • get_collection_stats

    Overall statistics for every IWAC subset, including `fulltext_coverage` — how many items in each subset actually carry searchable full text in this dataset. Read that before treating any keyword count as a full-text census.

  • get_newspaper_stats

    Per-newspaper article counts and date ranges.

  • get_country_comparison

    Compare article counts, newspaper counts, date ranges, and claude-haiku-5-5 polarity across countries.

  • get_temporal_distribution

    Counts by Gregorian or Hijri year/month, or pooled lunar month. Group by country/newspaper. Partial dates and missing lunar dates are disclosed. normalize_by returns numerator counts and per-bucket denominators in the same country/outlet/date scope, removing thematic filters. Sha

  • get_topic_distribution

    Counts of offline LDA topic assignments, optionally over time. Topic labels are interpretive model outputs; exact topic_id filters select assignments rather than keyword matches. Reports unclassified coverage.

  • get_field_distribution

    Rank exact metadata values, splitting pipe-separated tags. Reports missing metadata and optional coverage over time. Choose spatial for mentioned places, country for stored country tags, or subject/author/language.

  • get_cooccurrence

    Count pairs of metadata values co-tagged on the same items. Matrix/network views show descriptive associations, not causal links. Filters apply before pair counting; top_n caps the vocabulary.

  • get_place_distribution

    Place tags joined to authority coordinates. Separates publication countries from mentioned places; missing geocodes are counted explicitly.

  • get_semantic_map

    Stable-hash sample of matching stored embeddings, projected with PCA. Reports eligible, invalid, missing and capped counts, seed and explained variance. Group counts describe the sample. Coordinates are chart-only; this is not the published UMAP landscape. Needs no API key.

  • get_similar_items

    Nearest stored embeddings by cosine similarity. Articles and documents lead with the dataset's published top 10. Scores run high (unrelated ~0.7) and rank reading candidates; >= 0.97 suggests a near-duplicate, but no threshold proves a reprint. Returns source IDs and dates. Corpu

  • get_lexical_metrics

    Text length, lexical richness and readability by country/newspaper/year. Metrics are precomputed; readability is French-specific and excludes other languages. Missing values are disclosed. Compare distributions as descriptive evidence.

  • search_publications

    Search Islamic publications (periodical issues, books). `keyword` matches title, subject, table of contents, and full OCR text (TOC hits come back as matching_toc_entries); use French concept keywords regardless of the user's report language. Filter by newspaper/series, subject,

  • list_periodicals

    List the Islamic periodical/series titles in the publications subset, with issue counts and year ranges. Use the returned newspaper value as the `newspaper` filter on search_publications.

  • get_publication_fulltext

    Full OCR text of a publication in 25k-char parts (follow `next_offset`), or ~2000-char excerpts around keyword matches (accent-insensitive; capped: see match_count vs excerpts_returned).

  • semantic_search_publications

    Semantic search over publication tables of contents, present for ~40% of issues (none for An-Nasr Vendredi, 130 of 695 Islam Info issues): use search_publications for the rest. Rows show the first 600 characters of each table. Query in any language. Runs the corpus model, Embeddi

  • search_references

    Search academic references (journal articles, book chapters, theses, books, reports) by keyword and metadata. `keyword` requires every word in the title + abstract ("quote" a phrase). References are multilingual: try French and English title/abstract keywords when relevant; metad

  • get_reference

    Full bibliographic record for one academic reference (by id), including the complete abstract (present for ~51% of references), subjects, DOI/URL, and host-work details (book, volume, issue, pages).

  • semantic_search_references

    Semantic search over academic references by title + abstract, across languages. Only references with an abstract (about half) are covered; use search_references for the rest. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarit

  • search_documents

    Search the small archival-documents subset (~26 items: Islamic association reports, flyers, project documents — mostly Burkina Faso). Use French concept keywords regardless of the user's report language. Most have OCR text and an AI description. Call with no arguments to list all

  • get_document

    Get one archival document (by id): full metadata, AI description, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead, useful for long documents.

  • search_audiovisual

    Search audiovisual materials by keyword and metadata: francophone web video from Burkina Faso, Togo and Benin (TV reports, association and campus recordings), plus deposited Nigerian Hausa/Arabic recordings. Keyword matches title, creator, publisher, subject, spatial, language, s

  • list_audiovisual

    List audiovisual materials, newest first (francophone web video from Burkina Faso, Togo and Benin; deposited Nigerian Hausa/Arabic recordings). Filter by country, publishing channel or `source_type`.

  • get_audiovisual

    Get one audiovisual record by id: full description and transcription (where one exists), creator/publishing channel, duration, medium, subjects, places, language, rights, source, and three distinct links: `url` (the IWAC page, the one to cite), `external_url` (where a harvested v

  • search_images

    Search the IWAC photographs (30 items: mosques, radio stations, schools, signage and street scenes documented during fieldwork). Keyword matches title, creator, subject, place and the rare caption. Each result carries `image_url` (the full-resolution file), `coordinates` ('lat, l

  • get_image

    Get one photograph by id: title, photographer, capture date, place and coordinates, subjects, rights, the IIIF manifest, and the full-resolution `image_url`. The server returns URLs, not image bytes.

  • semantic_search_images

    Find photographs by describing what they SHOW, in any language ('mosquée en construction', 'street signage in Arabic'). This is cross-modal: the ranking runs against a multimodal embedding of the photograph itself, not against a caption, so it works even though only 2 of the 30 i

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account fmadore, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 222 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 39 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7275 servers in this category
  • Published to the registry more recently than 87% of the other 7275 servers in this category
  • Basic checks equal to or better than 100% of the other 7275 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Islam West Africa Collection (IWAC) safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (6.0.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

IWAC MCP Server

A read-only Model Context Protocol server for the Islam West Africa Collection (IWAC). Ships as a one-click Desktop Extension (.mcpb) for Claude Desktop, backed by the IWAC Hugging Face dataset. Also available as a hosted endpoint at https://islam.zmo.de/mcp/ for ChatGPT and other MCP clients — see docs/connecting.md for the full connection walkthrough (Claude Desktop and ChatGPT).

Install

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.

1. The MCP server — pick the bundle for your OS
Your OSDownload
Windows (Intel/AMD or Snapdragon)iwac-mcp-server-windows.mcpb
macOS (Apple Silicon or Intel)iwac-mcp-server-macos.mcpb
  1. Download the latest bundle for your OS using the links above.
  2. Double-click the file. Claude Desktop shows an install dialog — click Install.
  3. On first use the server downloads ~265 MB of parquet data from Hugging Face into ~/.iwac-mcp/cache/ (override in the extension settings).

The bundle contains the server and DuckDB binaries for your OS (x64 and arm64). Claude Desktop supplies the Node.js runtime, so no separate Node.js or Python installation is needed. We publish desktop bundles for Windows and macOS.

Extension settings and updates

Open Settings → Extensions → Islam West Africa Collection (IWAC) in Claude Desktop to configure these options:

FeatureCredentialsSettings
Public keyword search, filters, statistics, and item detailsNoneDefault.
Semantic searchNoneOn by default (Semantic search). The first semantic search downloads the query model once (~350 MB); turn the setting off to skip it.
Private full textHugging Face token authorized to read the private datasetEnable Use private full dataset and enter Hugging Face token (private dataset only).

Semantic search runs EmbeddingGemma 2, the model the corpus vectors were made with, on your own machine: no API key, and no query leaves your computer. It needs Windows (x64 or ARM64, with the Microsoft Visual C++ 2015-2022 Redistributable that most PCs already have) or an Apple-silicon Mac; on an Intel Mac the semantic tools report that they cannot run, and everything else works. The shared hosted endpoint serves public data.

Updating: download and open the latest bundle for your OS to update the extension. If the Hugging Face fields are missing, your installed extension may predate v3.6.0. After updating, review the settings, save any changes, and restart Claude Desktop.

Optional private full-text access

Public data remains the default and needs no token. In the desktop extension, enable Use private full dataset, enter the Hugging Face token (private dataset only), save the settings, and restart. Use a fine-grained token with read access to fmadore/islam-west-africa-collection-full. The token field is marked sensitive. Never paste your token into a chat or commit it.

Other local launchers can set IWAC_PRIVATE_DATASET=true and provide IWAC_HF_TOKEN (or HF_TOKEN). A token alone does not enable private mode; public downloads do not send it. No new dependency or account system is needed.

Private files use a separate private-full/ subdirectory of IWAC_CACHE_DIR (default: ~/.iwac-mcp/cache). Restart after changing modes. Missing tokens and private HTTP 401/403/404 errors fail without cache fallback. Network outages may use that mode's cache. Explicit IWAC_OFFLINE=true uses downloaded files without authentication; removing a token does not erase private files.

Keep the shared hosted endpoint public. This setting applies to the whole instance: everyone who can query a private instance can access its full text. HTTP mode therefore refuses to start in private mode unless IWAC_ALLOW_PRIVATE_HTTP=true is also set, and both transports log which dataset they serve at startup.

2. The research skill — iwac-mcp-skill.zip (strongly recommended)

The iwac-mcp skill 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 the latest iwac-mcp-skill.zip, 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:
  # macOS / Linux

unzip iwac-mcp-skill.zip -d ~/.claude/skills/

  # 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/.

Installing it this way is still worth doing: an installed skill is matched against your question automatically, before any tool is called.

The server also serves the skill (skill://)

Every build embeds the research skill, including the Docker image, and serves it through the MCP SDK's implementation of the Skills extension (SEP-2640, io.modelcontextprotocol/skills). Clients supporting it discover the skill through skills/list and skills/get, browse it with resources/directory/read, and check every file they read against the manifest's SHA-256 digests. Clients without the extension see every file in resources/list, each with a title and a one-line summary, and read it with ordinary resources/read:

ResourceContent
skill://iwac-mcp/SKILL.mdResearch workflow
skill://iwac-mcp/references/…Four reference files, read on demand
skill://iwac-mcpThe skill's directory, for resources/directory/read

The bare skill://iwac-mcp URI is a directory, no longer the JSON catalogue that releases up to v4.1.0 served there; skills/list carries the same sizes and digests. Skill content is a build-time snapshot; editing the source requires a rebuild. The release zip remains available for clients that install skills locally. Remote clients can read the same workflow without downloading a release artifact.

What it gives Claude

39 read-only tools across seven IWAC subsets, none of which needs an API key. The 4 semantic_search_* tools can be turned off; they rank with EmbeddingGemma 2 run locally (see mcpb/README.md). All keyword and filter matching is accent- and case-insensitive. The unified search/fetch pair, the stats tools, the aggregates, list_periodicals, and get_sentiment_distribution also return MCP structured content (outputSchema + structuredContent), which the ChatGPT connector contract requires.

The tool contract, as of v5.0.0:

  • One keyword rule. Every search and aggregate requires every word of a keyword, in any order; a "quoted phrase" must occur as written, and keyword_mode: "literal" keeps the single-substring match of earlier releases. A one-word keyword is unchanged.
  • Strict arguments. An unknown argument name is an error, never an unfiltered search; strings are bounded at 2,000 characters.
  • Coded errors. Every error carries a stable code (invalid_argument, not_found, unavailable, data_error) beside its message.
  • Self-explaining empty results. A filtered list that matches nothing says so (hint), and the article, publication and reference searches suggest close stored subject and newspaper values (did_you_mean). Pages stop early at ~40,000 characters (response_limited, with an exact next_offset).
  • Linked exports. explore_corpus with link: true returns one iwac://export/… resource link holding a whole selection (up to 5,000 items) as a manifest, CSL-JSON or BibTeX file, instead of 50-item pages in the conversation.
  • Compact provenance. The model reads the snapshot id, revision, access mode and subsets; file identities stay in _meta and iwac://datasets/{subset}.
  • Profiles. IWAC_TOOL_PROFILE=core|analysis|search serves a smaller tool surface for hosts that pay for every definition on every turn; the instructions name only the tools a profile registers.
GroupTools
Cross-subsetsearch, fetch, explore_corpus
Articlessearch_articles, get_article, semantic_search_articles
Sentimentsearch_by_sentiment, get_sentiment_distribution
Indexsearch_index, get_index_entry, list_subjects, list_locations, list_persons
Statsget_collection_stats, get_newspaper_stats, get_country_comparison, get_temporal_distribution
Aggregatesget_topic_distribution, get_field_distribution, get_cooccurrence, get_lexical_metrics, get_place_distribution, get_semantic_map, get_similar_items
Publicationssearch_publications, list_periodicals, get_publication_fulltext, semantic_search_publications

| References | search_references, get_reference, `seman

Only the beginning is shown; read the rest in the repo

Ask PopNx