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8 clients · secrets stay placeholders

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

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

[mcp_servers.iwac-mcp-server]
url = "https://islam.zmo.de/mcp/"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "iwac-mcp-server": {
      "type": "remote",
      "url": "https://islam.zmo.de/mcp/",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "iwac-mcp-server": {
      "type": "http",
      "url": "https://islam.zmo.de/mcp/"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=iwac-mcp-server&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vaXNsYW0uem1vLmRlL21jcC8ifQ%3D%3D"
}

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

{
  "mcpServers": {
    "iwac-mcp-server": {
      "httpUrl": "https://islam.zmo.de/mcp/"
    }
  }
}

extensions:
  "iwac-mcp-server":
    enabled: true
    name: "iwac-mcp-server"
    type: streamable_http
    uri: "https://islam.zmo.de/mcp/"
    timeout: 300

Quality 78 / 100good

protocol100 · weight 25

pass
protocol.modernsupports 2026-07-28 (server/discover)
pass
protocol.statelessanswers without a session
pass
protocol.transportstreamable HTTP
pass
protocol.list_ttltool list is cacheable (ttlMs 3600000)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations39 of 39 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
warn
tools.token_costabout 11,727 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability25 · weight 15

warn
stability.changes37 tool changes in 30 days
fail
stability.rug_pull9 tools kept their name but changed most of their description in 30 days; review before trusting them

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

39 tools, about 11,727 tokens to load them all · tool set 31297d46158b · tools last changed 2026-10-19 · checked 2026-10-19 23:50 UTC

Tool changes

2026-10-19semantic_search_imagesadded
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 images have one. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.
2026-10-19semantic_search_referencesadded
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). similarity_score only ranks within one query.
2026-10-19semantic_search_publicationsadded
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, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.
2026-10-19get_similar_itemschangeddescription, input schema, output schema
before
Nearest stored embeddings by cosine similarity, without an API key. Scores rank reading candidates; no threshold proves a reprint. Returns source IDs and dates for comparison. Corpus-wide candidate generation belongs offline.
after · 50% of words in common
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. Corpus-wide candidate generation belongs offline.
2026-10-19get_semantic_mapchangedinput schema
2026-10-19semantic_search_articlesadded
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.
2026-10-06get_imagechangedinput schema
2026-10-06search_imageschangedinput schema
2026-10-06get_audiovisualchangeddescription, input schema
before
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 video plays) and `media_url` (a deposited file). `source_type` says which to expect.
after · 77% of words in common
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 video plays) and `media_url` (a deposited file). `source_type` says which to expect. A long transcription comes in 25k-char parts (follow `next_offset`); `keyword` returns excerpts instead.
2026-10-06list_audiovisualchangedinput schema

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

provenance90

liveness100

freshness100

hygiene95

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-1d-ago -unpinned-packages(2)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://islam.zmo.de/mcp/` streamable-http	none	yes	100%	807 ms	2026-07-28	2026-10-19

package	registry	version	runtime	secrets
`https://github.com/fmadore/iwac-mcp-server/releases/download/v4.1.0/iwac-mcp-server-windows.mcpb`	mcpb	unpinned	–
`https://github.com/fmadore/iwac-mcp-server/releases/download/v4.1.0/iwac-mcp-server-macos.mcpb`	mcpb	unpinned	–

Tools (39)

`explore_corpus`read-only	Selection workbench: items, concordance, coverage, compare (requires comparison), attention, aliases, or paginated manifest/CSL-JSON/BibTeX exports. Exact filters intersect. Coverage measures archive availability. Exports identify this page and dataset snapshot; compare snapshot IDs across pages. Schema discovery: iwac://datasets/{subset}.
`fetch`read-only	Retrieve the full text and metadata of one IWAC item by an id returned from `search` (format '<category>:<number>', 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 cite, and `metadata` holds the remaining fields (author, date, country, newspaper, AI sentiment, …). Categories: articles, publications, references, documents, index, audiovisual, images.
`get_article`read-only	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.
`get_audiovisual`read-only	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 video plays) and `media_url` (a deposited file). `source_type` says which to expect. A long transcription comes in 25k-char parts (follow `next_offset`); `keyword` returns excerpts instead.
`get_collection_stats`read-only	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_cooccurrence`read-only	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_country_comparison`read-only	Compare article counts, newspaper counts, date ranges, and gpt-5-6-luna polarity across countries.
`get_document`read-only	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.
`get_field_distribution`read-only	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_image`read-only	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.
`get_index_entry`read-only	Get full details of an index entry by id (raw dataset columns, French names — Titre, Prénom, Coordonnées…).
`get_lexical_metrics`read-only	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.
`get_newspaper_stats`read-only	Per-newspaper article counts and date ranges.
`get_place_distribution`read-only	Place tags joined to authority coordinates. Separates publication countries from mentioned places; missing geocodes are counted explicitly.
`get_publication_fulltext`read-only	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).
`get_reference`read-only	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).
`get_semantic_map`read-only	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_sentiment_distribution`read-only	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 denominators. Labels are interpretations, not ground truth; subjectivity is weak evidence and its caveat must accompany findings.
`get_similar_items`read-only	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. Corpus-wide candidate generation belongs offline.
`get_temporal_distribution`read-only	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. Shares describe IWAC holdings.
`get_topic_distribution`read-only	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.
`list_audiovisual`read-only	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`.
`list_locations`read-only	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 appear. Nigeria returns none here (index frequency is computed from articles + publications + references, which have no Nigerian items — Nigeria is audiovisual only).
`list_periodicals`read-only	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.
`list_persons`read-only	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 appear. Nigeria returns none here (index frequency is computed from articles + publications + references, which have no Nigerian items — Nigeria is audiovisual only).
`list_subjects`read-only	List sujets from the IWAC index, sorted by frequency (most-referenced first).
`search`read-only	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. 'Tijaniyya', 'laïcité', 'Sheikh Gumi', 'pèlerinage'. Matching is accent- and case-insensitive; a multi-word query requires every word to appear somewhere in the item, so prefer a single concept per call. Write query strings and concept keywords in French for press/publication/document/index discovery even when the user's report language is not French. Academic references are multilingual, so try French and English title/abstract terms when relevant; metadata/filter labels remain French. Use the French transliteration of Islamic terms (Tabaski not 'Eid al-Adha', charia not 'sharia', Maouloud not 'Mawlid'). Returns {results:[{id,title,url,category}], ranking}; each result's `category` names its subset and the `ranking` field documents the ordering. Pass an id to `fetch` to read the full text. For filtered queries (by country, date, or newspaper) use the search_* tools instead.
`search_articles`read-only	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.
`search_audiovisual`read-only	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, source, the item's own description (the richest text most of these items have) and its transcription where one exists. Each row says which population it is from (`source_type`) and carries either `external_url` (a video to watch) or `media_url` (a file), never both.
`search_by_sentiment`read-only	Filter articles by gpt-5-6-luna sentiment labels (accent/case-insensitive exact match). One model's reading, not a consensus — 4 other models scored the same articles and often disagree; get_sentiment_distribution with model:"all" shows by how much. `subjectivity` is much the weakest of the three scales, so treat a set selected on it as a lead to read rather than as a finding.
`search_documents`read-only	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.
`search_images`read-only	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, lng' where known) and the canonical IWAC page. Call with no arguments to list all. Captions are almost never present, so prefer subject/place filters over keywords, or semantic_search_images when it is enabled.
`search_index`read-only	Search the IWAC authority index (persons, places, organisations, events, subjects) by name. Accent/case-insensitive.
`search_publications`read-only	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, country and year. Use list_periodicals to discover series titles, and get_publication_fulltext for keyword excerpts from a single issue.
`search_references`read-only	Search academic references (journal articles, book chapters, theses, books, reports) by keyword and metadata. `keyword` is a single substring match over title + abstract, so search ONE term per call (combined terms like 'pèlerinage Mecque' miss results). References are multilingual: try French and English title/abstract keywords when relevant; metadata/filter values such as `reference_type` and `language` use French labels. Results include a short abstract snippet — use get_reference for the full abstract and bibliographic detail.
`semantic_search_articles`read-only	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.
`semantic_search_images`read-only	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 images have one. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.
`semantic_search_publications`read-only	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, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.
`semantic_search_references`read-only	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). similarity_score only ranks within one query.

Schemas: list_tools.

Similar MCP servers

More from io.github.fmadore

Official server.json

{
  "name": "io.github.fmadore/iwac-mcp-server",
  "icons": [
    {
      "src": "https://raw.githubusercontent.com/fmadore/iwac-mcp-server/main/mcpb/icon.png",
      "mimeType": "image/png"
    }
  ],
  "title": "Islam West Africa Collection (IWAC)",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://islam.zmo.de/mcp/",
      "type": "streamable-http"
    }
  ],
  "version": "4.1.0",
  "packages": [
    {
      "transport": {
        "type": "stdio"
      },
      "fileSha256": "d4cc0e2977350e3214ec00ceec654b9fe5d458b39c4425303355379b104f70c7",
      "identifier": "https://github.com/fmadore/iwac-mcp-server/releases/download/v4.1.0/iwac-mcp-server-windows.mcpb",
      "registryType": "mcpb"
    },
    {
      "transport": {
        "type": "stdio"
      },
      "fileSha256": "849b4d99c8d5ba6c3c9f3d919ed84f867cb7db6d704a6fda08a69d6ddcf8b0e1",
      "identifier": "https://github.com/fmadore/iwac-mcp-server/releases/download/v4.1.0/iwac-mcp-server-macos.mcpb",
      "registryType": "mcpb"
    }
  ],
  "repository": {
    "url": "https://github.com/fmadore/iwac-mcp-server",
    "source": "github"
  },
  "websiteUrl": "https://islam.zmo.de/s/westafrica/",
  "description": "Read-only access to the Islam West Africa Collection via Hugging Face datasets."
}