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com.votepredictor/elections
serveur MCP (Model Context Protocol) · votepredictor 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 com.votepredictor/elections est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.votepredictor/elections » 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 4 outils
- chamber_outlook≈ 565 tokens
Who is favoured to control the Senate or House after 2026: control probability, expected seats with an 80% range, how far it has moved since January, and the races that have moved most.
Paramètres, retour & exemple (1)
Paramètreschamber· string · requis · senate | house
Which chamber of Congress: 'senate' (51 seats for control) or 'house' (218).
Exemple d'appel{"name": "chamber_outlook", "arguments": {"chamber": "senate"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "as_of": "texte", "chamber": "texte", "summary": "texte", "since_date": "texte", "range_80pct": [], "seats_total": 1, "seats_needed": 1, "p_dem_control": 1, "biggest_movers": [], "expected_dem_seats": 1, "change_points_since": 1}} - forecast_race≈ 832 tokens
Current VotePredictor forecast for one 2026 US election: win probability, predicted margin, whether it comes from polls or fundamentals, how far it has moved this cycle, and the candidates. Accepts a state name or code ('Ohio', 'OH') or a district ('CA-12'). Returns an explicit refusal for races where a candidate has left the ballot and no forecast is published.
Paramètres, retour & exemple (2)
Paramètreswhere· string · requis
Where the race is: a state name ('Ohio'), a two-letter state code ('OH'), or a House district ('CA-12'). Pass what the user said.office· string · requis · SEN | GOV | HOUSE
Which office: SEN for U.S. Senate, GOV for governor, HOUSE for a U.S. House district.
Exemple d'appel{"name": "forecast_race", "arguments": {"where": "texte", "office": "SEN"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "office": "texte", "rating": "texte", "source": "texte", "n_polls": "texte", "race_id": "texte", "summary": "texte", "location": "texte", "p_dem_win": "texte", "state_name": "texte", "pred_margin": "texte", "dem_candidate": "texte"}} - forecaster_accuracy≈ 462 tokens
How accurate each election forecaster, model, prediction market and pollster has been on resolved races, adjusted for how hard each race was. Use this to answer 'whose election forecast should I trust'. Difficulty adjustment matters: on raw scores whoever rated the safest races wins.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
How many ranked entries to return, best first. Default 10.office· string · optionnel · ALL | PRES | SEN | GOV | HOUSE
Restrict the board to one office, or ALL for every resolved race.
Exemple d'appel{"name": "forecaster_accuracy", "arguments": {"limit": 1, "office": "ALL"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "metric": "texte", "office": "texte", "entries": [], "summary": "texte", "lower_is_better": true, "adjusted_for_difficulty": true}} - member_profile≈ 568 tokens
A member of Congress by name or bioguide id: party, state, ideology score, reported net worth from financial disclosures, and the 2026 race for their seat.
Paramètres, retour & exemple (1)
Paramètreswho· string · requis
Who to look up: a surname ('Pelosi'), a full name, or a bioguide id ('P000197'). If several sitting members match, the tool returns the candidates rather than choosing one.
Exemple d'appel{"name": "member_profile", "arguments": {"who": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "name": "texte", "found": true, "party": "texte", "state": "texte", "chamber": "texte", "summary": "texte", "race_2026": "texte", "bioguide_id": "texte", "net_worth_year": "texte", "net_worth_range": "texte", "ambiguous_matches": "texte"}}
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