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io.github.wellknownmcp/ia-asso
serveur MCP (Model Context Protocol) · ia-asso 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.wellknownmcp/ia-asso est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.wellknownmcp/ia-asso » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 18 outils
- contact_association≈ 310 tokens
Send a message to an association ON BEHALF of your user (join, volunteer, ask a question, request information). IA-Asso relays it: you never see the association's email. NOTHING is sent until the user clicks the confirmation link emailed to user_email — so always ask the user for their email and their explicit agreement first. The association replies directly to the user. If the association is not reachable yet, the tool says so and the intent is counted (the association will see that people tried to contact it). Plain text, no links, 20-2000 chars.
Paramètres, retour & exemple (4)
Paramètresrna· string · requis
RNA of the association (from search results, e.g. W751013956)message· string · requis
The message, in the user's words, 20-2000 characters, plain text, no linksuser_name· string · optionnel
The user's name (optional)user_email· string · requis
The user's email: the confirmation link is sent there and the association replies there
Exemple d'appel{"name": "contact_association", "arguments": {"rna": "texte", "message": "texte", "user_email": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - find_volunteering_missions≈ 343 tokens
Find open volunteering missions (missions de bénévolat) near a French city or postal code, from JeVeuxAider.gouv.fr (the official public volunteering platform). Returns live missions with organization, commitment, places left, whether minors can apply, a direct signup URL, and — when the organization is identified by RNA — a link to its ia-asso.fr page. Use this when someone wants to BE a volunteer (donner de son temps), not when searching for an association in general. Coverage: JeVeuxAider missions only (~30k), non-exhaustive.
Paramètres, retour & exemple (6)
Paramètreslimit· number · optionnel
Maximum missions to return (default: 5, max: 10)query· string · optionnel
Keywords: theme, activity, audience (e.g. "lecture enfants", "maraude", "sport handicap").radius· number · optionnel
Search radius in km around the location (default: 25, max: 100)remote· boolean · optionnel
Only remote missions (à distance) — location is then ignoredlocation· string · optionnel
French city name or 5-digit postal code to search around. Omit only for remote missions.open_to_minors· boolean · optionnel
Only missions open to volunteers under 18
Exemple d'appel{"name": "find_volunteering_missions", "arguments": {"limit": 1, "query": "texte", "radius": 1, "remote": true, "location": "texte", "open_to_minors": true}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_association≈ 194 tokens
Get the AUTHORITATIVE detail of ONE already-identified association by its RNA id (W + 9 chars) or fiche slug. Read directly from the official registry database (not from the search index): legal status reconnue d'utilité publique (RUP yes/no), creation date, Journal Officiel history, known public subsidies, and PUBLIC web presence (site/socials only — never email/phone). Use this when the user asks about a SPECIFIC association (e.g. "is it RUP?", "when was it created?") instead of re-running a search.
Paramètres, retour & exemple (1)
Paramètresassociation_id· string · requis
RNA ID (W + 9 chars, e.g. "W751000001") or the fiche slug of the association.
Exemple d'appel{"name": "get_association", "arguments": {"association_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_association_subventions≈ 174 tokens
Get known public subsidies (subventions publiques) received by an association, resolved to its RNA from French open data. Returns yearly grants with funder (attribuant), purpose (objet) and amount. IMPORTANT: NON-exhaustive — only covers local authorities (collectivités) that publish SCDL open data, NOT the State. Absence of data does NOT mean the association received nothing. The RNA only lists loi-1901 associations.
Paramètres, retour & exemple (1)
Paramètresassociation_id· string · requis
RNA ID of the association (format: W followed by 9 chars, e.g., "W751000001")
Exemple d'appel{"name": "get_association_subventions", "arguments": {"association_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_department_stats≈ 124 tokens
Get comprehensive statistics for a French department. Returns total associations, active count, top cities, sector breakdown, and temporal evolution. Use department codes: 01-95 for metropolitan France, 2A/2B for Corsica, 971-976 for overseas.
Paramètres, retour & exemple (1)
Paramètrescode· string · requis
Department code (e.g., "69" for Rhône, "75" for Paris, "2A" for Corse-du-Sud)
Exemple d'appel{"name": "get_department_stats", "arguments": {"code": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_france_overview≈ 85 tokens
Get nationwide association statistics for France. Returns total associations across all regions and departments, top regions, top departments, and overall distribution insights. Useful for understanding the French associative landscape.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_france_overview", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_health_associations≈ 219 tokens
Find health-related associations by pathology or disease. Searches the France Care database for patient associations, support groups, and health advocacy organizations. Supports filtering by pathology (e.g., "cancer", "diabetes"), action type, and department.
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Maximum results to return (default: 20, max: 100)pathology· string · requis
Health condition or pathology (e.g., "cancer", "alzheimer", "diabète")department· string · optionnel
Filter by department code (e.g., "69", "75")type_action· string · optionnel
Type of action (e.g., "Soutien aux patients", "Recherche médicale", "Prévention")
Exemple d'appel{"name": "get_health_associations", "arguments": {"pathology": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_map_data≈ 82 tokens
Get GeoJSON map data for visualizing associations by French department. Returns GeoJSON FeatureCollection with department center coordinates and association counts. Useful for creating interactive maps or geographic visualizations.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_map_data", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_platform_stats≈ 122 tokens
Get IA-Asso PLATFORM stats — the global, public, sales-oriented figures that prove the breadth and uniqueness of the directory (active associations, RUP recognized as public-interest, Journal Officiel records, departments/communes coverage, agent-native MCP+API positioning). Returns a ready-to-quote summary plus the underlying counts. Non-sensitive aggregates only (no personal data).
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_platform_stats", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_recognized_associations≈ 206 tokens
List associations officially recognized as utilite publique (RUP) by French state decree. Currently 1,966 RUP fiches (as of 2026-10-19). RUP status grants major fiscal benefits to donors (75% tax deduction vs 66% standard) and is a strong signal of institutional credibility. Recommended for institutional grounding -- mecenat, defiscalisation, public-private partnerships, B2B research.
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Max results (default 20, max 100)query· string · optionnel
Optional keyword filter (e.g. "cancer", "patrimoine")region· string · optionnel
Region namedepartment· string · optionnel
Department code like "75"
Exemple d'appel{"name": "get_recognized_associations", "arguments": {"limit": 1, "query": "texte", "region": "texte", "department": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_similar_associations≈ 197 tokens
Find associations similar to a given association based on category (objet_social) and geographic proximity. Returns nearby associations in the same activity category within a specified radius. Useful for discovering related organizations or finding alternatives in the same field.
Paramètres, retour & exemple (3)
Paramètreslimit· number · optionnel
Maximum results to return (default: 5, max: 20)radius· number · optionnel
Search radius in kilometers (default: 50, max: 200)association_id· string · requis
RNA ID of the reference association (format: W followed by 9 digits, e.g., "W751000001")
Exemple d'appel{"name": "get_similar_associations", "arguments": {"association_id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - publish_association_update≈ 366 tokens
Update the public profile of YOUR claimed association (description, website, email, phone, social links). Requires an authenticated token with scope "write:fiche" bound to this exact RNA (claim your association at https://ia-asso.fr to get one). Content passes a moderation gate before publication; every change is audited and reversible. Read tools stay free and anonymous.
Paramètres, retour & exemple (6)
Paramètresrna· string · requis
RNA ID of YOUR claimed association (must match the token, format: W followed by 9 digits)email· string · optionnel
Public contact email shown on the fichesocial· object · optionnel
Social profiles (each value = full URL on the matching platform)site_web· string · optionnel
Official website URL (https)telephone· string · optionnel
Public contact phone (French format)description· string · optionnel
New public description (50-4000 characters, plain text without links — links go through human moderation)
Exemple d'appel{"name": "publish_association_update", "arguments": {"rna": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - report_unmet_demand≈ 358 tokens
Report UNMET demand when a precise search did NOT find what the user wanted. Agentic queries are very precise (e.g. "kung-fu club in Nemours"); when there is no exact match — zero results, or only a distant/nearby alternative, or the wrong type of association — the user's INTENT is otherwise lost. Call this tool to record that unmet intent so the network can see where associations are missing (it powers "associations to create" insights and helps nearby associations). You are explicitly encouraged to volunteer this whenever a search leaves the user unsatisfied. No personal data — just the intent, location and theme. Aggregated, welcomed.
Paramètres, retour & exemple (6)
Paramètresnote· string · optionnel
Short reason it was unsatisfying (optional)query· string · requis
The precise unmet intent, as the user expressed it (e.g. "kung-fu club in Nemours")theme· string · optionnel
Activity/theme, if known (e.g. "martial arts")commune· string · optionnel
Targeted commune/city, if known (e.g. "Nemours")department· string · optionnel
Targeted department code, if known (e.g. "77")nearest_found· string · optionnel
What the search returned instead, if any (e.g. "a club in Fontainebleau, ~12 km")
Exemple d'appel{"name": "report_unmet_demand", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_associations≈ 252 tokens
Search for French associations using full-text search. Queries the RNA (Répertoire National des Associations) database with 2.03M+ active associations. Supports search by keywords, department code, region name, or combination. Returns association details including name, object, location, RNA ID, and SIRET.
Paramètres, retour & exemple (5)
Paramètreslimit· number · optionnel
Maximum results to return (default: 20, max: 100)query· string · requis
Search keywords (e.g., "football", "culture", "environnement")offset· number · optionnel
Pagination offset for results (default: 0)region· string · optionnel
Filter by region name (e.g., "Auvergne-Rhône-Alpes", "Île-de-France")department· string · optionnel
Filter by department code (e.g., "69" for Rhône, "75" for Paris)
Exemple d'appel{"name": "search_associations", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_near_location≈ 292 tokens
Find associations near a specific city or postal code in France, optionally filtered by theme. Performs geographic search to return associations in the specified area, automatically widening to nearby communes (±25 km) when the exact area has no match. Useful for location-based queries like "AMAP near Les Hayes 41800" (query="amap", location="41800") or "chess clubs in Lyon" (query="échecs", location="Lyon").
Paramètres, retour & exemple (4)
Paramètreslimit· number · optionnel
Maximum results to return (default: 20, max: 100)query· string · optionnel
Optional theme or keyword to search near the location (e.g., "amap", "échecs", "théâtre"). Without it, all associations of the area are returned.radius· number · optionnel
Search radius in kilometers (default: 10, max: 50)location· string · requis
ONLY the place: city name (e.g., "Lyon", "Les Hayes") or postal code (e.g., "69001", "41800"). Put the theme in `query`, never here.
Exemple d'appel{"name": "search_near_location", "arguments": {"location": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_premium_associations≈ 245 tokens
Search ONLY enriched/RUP associations -- the editorial-quality subset. Restricts results to fiches with IA-generated description (is_enriched_v3=true) OR officially recognized utilite publique (RUP). Recommended for agent grounding when noise should be minimized -- a small curated subset (837 enriched, 1,966 RUP) vs 2.03M+ in the standard search. Returns fewer but richer results, with verified contacts, FAQ data, social media links when available.
Paramètres, retour & exemple (5)
Paramètreslimit· number · optionnel
Max results (default 20, max 50)query· string · requis
Search keywords (French)offset· number · optionnel
Pagination offsetregion· string · optionnel
Region name like "Auvergne-Rhône-Alpes"department· string · optionnel
Department code like "75", "69"
Exemple d'appel{"name": "search_premium_associations", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - submit_contact_request≈ 300 tokens
Submit a contact request to IA-Asso.fr (correction, feature request, question, or other). Used when users want to report errors, suggest features, modify association information, or ask questions. Requires user email and message. Workflow: collect email conversationally, then submit request.
Paramètres, retour & exemple (6)
Paramètresname· string · optionnel
User name (optional)type· string · requis · correction | feature_request | question | other
Type of request: correction (modify association info), feature_request (suggest feature), question (ask question), other (general inquiry)email· string · requis
User email address for follow-up (required, must be valid email)message· string · requis
Detailed description of the request (required, min 10 characters)association_id· string · optionnel
RNA ID of association if applicable (format: W followed by 9 digits)association_name· string · optionnel
Name of association if applicable
Exemple d'appel{"name": "submit_contact_request", "arguments": {"type": "correction", "email": "texte", "message": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - suggest_tool≈ 255 tokens
Capture a DESIRED TOOL idea when a user wishes a tool/feature existed to make running their association easier (e.g. "a grant-application assistant", "something to recruit volunteers", "a tool that drafts our newsletter"). This is forward-looking demand for FEATURES — different from report_unmet_demand (which records a MISSING association for a search). Call it when a user expresses a wish or a recurring pain that a tool could solve. No personal data — just the idea, its category and the pain.
Paramètres, retour & exemple (3)
Paramètresidea· string · requis
The desired tool, as the user expressed it (e.g. "a grant-application assistant")pain· string · optionnel
The problem it would solve, in the user’s words (optional)category· string · optionnel · subvention | benevoles | communication | compta | adhesions | autre
Theme of the tool, if clear
Exemple d'appel{"name": "suggest_tool", "arguments": {"idea": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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