Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
Déduit des transports déclarés par cette annonce (streamable-http). Un client absent de cette liste n’est pas écarté pour autant — c’est simplement quelque chose que Forge ne peut pas confirmer.
La vérification confirme l’identité de l’éditeur (la propriété du dépôt), pas la sûreté du code. L’analyse de sécurité couvre les CVE connues et les scripts d’installation suspects.
Lu depuis un véritable échange MCP initialize → tools/list contre l’endpoint déclaré. Aucun outil n’a été invoqué — tools/list est l’appel d’introspection en lecture seule que le protocole prévoit pour cela. Cela reflète ce que le serveur annonçait à cet instant ; un endpoint hébergé n’est figé sur aucune version et peut changer sans préavis.
https://mcp.council-ai.app/mcp10 outils · 920 mscouncil_querySend a prompt to a council of frontier AI models across 9 labs (Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Mistral, Moonshot, z.ai). Returns each model's independent response plus a moderator-synthesized consensus answer with an agreement score and the key point of disagreement, when one exist…Send a prompt to a council of frontier AI models across 9 labs (Anthropic, OpenAI, Google, xAI, DeepSeek, Qwen, Mistral, Moonshot, z.ai). Returns each model's independent response plus a moderator-synthesized consensus answer with an agreement score and the key point of disagreement, when one exist…
| Paramètre | Type | Description |
|---|---|---|
| prompt* | string | The question or task to send to the council. Include all needed context — every query is stateless. Example: "Is optimistic locking or a distributed lock the b… |
| models | array | Model IDs to include (2-10). Defaults to a cross-lab flagship council. Use council_models to list available IDs. Example: ["claude-fable-5.1", "gpt-5.6-sol", "… |
| synthesize | boolean | When true (default), include the moderator synthesis + consensus score. Set false to get only the raw per-model responses (faster, cheaper). |
| synthesisDirective | string | Optional instructions for the moderator that synthesizes the council's answers. The council models never see this — it only shapes the synthesis. Use for speci… |
| mode | string | Cross-model visibility. 'independent' (default): all models answer in parallel, blind to each other — best for unbiased comparison; the synthesis reconciles th… |
| async | boolean | When true, return {queryId, status:"running"} immediately instead of waiting for the council. Fetch the finished result with council_result. Use whenever your… |
council_resultFetch the result of a council_query started with async=true. Returns status "running" while the council is still working (wait 30-60 seconds and call again), the full synthesis + per-model responses once complete, or status "failed" with the error. Polling is free — the council run itself was alrea…Fetch the result of a council_query started with async=true. Returns status "running" while the council is still working (wait 30-60 seconds and call again), the full synthesis + per-model responses once complete, or status "failed" with the error. Polling is free — the council run itself was alrea…
| Paramètre | Type | Description |
|---|---|---|
| queryId* | string | The queryId returned by council_query when called with async=true. |
council_query_with_ragLike council_query, but first retrieves the most relevant passages from the user's personal Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases) and injects them into every model's prompt. Use when the question is about content the user has uploaded — contract revie…Like council_query, but first retrieves the most relevant passages from the user's personal Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases) and injects them into every model's prompt. Use when the question is about content the user has uploaded — contract revie…
| Paramètre | Type | Description |
|---|---|---|
| prompt* | string | The question or task to send to the council. Example: "Review this NDA draft against our standard playbook terms." |
| library_query | string | Optional retrieval-specific query. If omitted, the main prompt is used as the retrieval query. Set this when the user's prompt has unrelated framing but the co… |
| retrieval_limit | number | Number of chunks to retrieve. Default: 8. |
| project_id | string | Restrict retrieval to a specific Council project workspace. |
| models | array | Model IDs to include. Defaults to the user's preferred council. |
| synthesize | boolean | When true (default), include the moderator synthesis + consensus score. |
| async | boolean | When true, retrieval runs immediately (sources are returned right away) but the council itself runs in the background — fetch the finished answer with council_… |
council_reviewMulti-model code review. Sends a unified diff (or code snippet) to multiple frontier AI models from different labs in parallel, each acting as an independent reviewer with an explicit verdict + findings contract. Returns a verdict-first synthesis: overall SHIP/NO-SHIP, consensus score, confirmed fi…Multi-model code review. Sends a unified diff (or code snippet) to multiple frontier AI models from different labs in parallel, each acting as an independent reviewer with an explicit verdict + findings contract. Returns a verdict-first synthesis: overall SHIP/NO-SHIP, consensus score, confirmed fi…
| Paramètre | Type | Description |
|---|---|---|
| diff* | string | The unified diff (git diff output) or code snippet to review. Max 14,000 characters — if your diff is larger, split it by file or hunk and review each part sep… |
| focus | string | Review focus: "bugs" (correctness), "security", "performance", "architecture", or "all" (default — full review, bugs prioritized). |
| context | string | What the change is supposed to do: intent, constraints, related files or invariants reviewers cannot see from the diff alone. Improves signal, reduces false po… |
| models | array | Model IDs to include as reviewers (2-10). Defaults to the user's preferred council. Use council_models to list available IDs. |
| async | boolean | When true, return {queryId, status:"running"} immediately and fetch the finished review with council_result. Use when your MCP client enforces a fixed tool-cal… |
library_searchSemantic search over the user's Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases). Returns top-K chunks with source filename and page number. No model call, no budget consumption. Use to find direct quotes, check what the library contains, or scope a follow-up co…Semantic search over the user's Council RAG library (uploaded PDFs, Word docs, contracts, research papers, codebases). Returns top-K chunks with source filename and page number. No model call, no budget consumption. Use to find direct quotes, check what the library contains, or scope a follow-up co…
| Paramètre | Type | Description |
|---|---|---|
| query* | string | Semantic retrieval query — describe the content you want, not keywords. Example: "termination and notice-period clauses in the vendor agreement" |
| limit | number | Number of chunks to return, 1-20. Default: 8. |
| project_id | string | Restrict retrieval to a specific Council project workspace ID. Omit to search the whole library. |
library_listList the documents in the user's Council RAG library. Returns id, filename, source type, ingestion status, chunk count, and upload date for each document. No retrieval, no budget consumption.List the documents in the user's Council RAG library. Returns id, filename, source type, ingestion status, chunk count, and upload date for each document. No retrieval, no budget consumption.
Aucun schéma d’entrée n’a été publié pour cet outil.
library_uploadprivilégiéUpload a document into the user's Council RAG library so future council_query_with_rag and library_search calls can retrieve it. Accepts PDF, Word (docx), text, and markdown files as base64 — images are not supported. Max 10MB per file via MCP (the web library at https://council-ai.app/settings?tab…Upload a document into the user's Council RAG library so future council_query_with_rag and library_search calls can retrieve it. Accepts PDF, Word (docx), text, and markdown files as base64 — images are not supported. Max 10MB per file via MCP (the web library at https://council-ai.app/settings?tab…
| Paramètre | Type | Description |
|---|---|---|
| filename* | string | Original filename including extension — the extension drives type detection. Example: "vendor-contract-2026.pdf". |
| contentBase64* | string | The file's raw bytes, base64-encoded (standard alphabet, no data: URI prefix). For a plain-text or markdown document, base64-encode the UTF-8 text. |
| mimeType | string | MIME type, e.g. "application/pdf". Optional — the backend verifies the real type from the file's magic bytes regardless. |
| projectId | string | Council project workspace to file the document under. Omit for the general library. |
| tags | array | Free-form tags to attach to the document, e.g. ["contracts", "2026"]. |
library_deleteprivilégiéPermanently delete a document from the user's Council RAG library — the record, every indexed chunk, AND the stored file are removed. This cannot be undone; re-adding the document requires uploading it again. Get document IDs from library_list. Use when the user asks to remove a document or when th…Permanently delete a document from the user's Council RAG library — the record, every indexed chunk, AND the stored file are removed. This cannot be undone; re-adding the document requires uploading it again. Get document IDs from library_list. Use when the user asks to remove a document or when th…
| Paramètre | Type | Description |
|---|---|---|
| documentId* | string | ID of the document to delete, as returned by library_list or library_upload. |
council_modelsList the AI models available to the current user. Returns ID, provider, tier, context window, and capability flags (web search, vision, streaming). Use the IDs returned here as the `models` array argument to council_query / council_query_with_rag.List the AI models available to the current user. Returns ID, provider, tier, context window, and capability flags (web search, vision, streaming). Use the IDs returned here as the `models` array argument to council_query / council_query_with_rag.
Aucun schéma d’entrée n’a été publié pour cet outil.
council_usagerisque d’injectionReturn the user's current monthly cost-budget consumption (current spend, budget cap, percentage used, days until reset). Use to decide whether to warn the user before invoking another council_query, or to suggest using cheaper models. Per Council's rule: never show dollar amounts to the user in th…Return the user's current monthly cost-budget consumption (current spend, budget cap, percentage used, days until reset). Use to decide whether to warn the user before invoking another council_query, or to suggest using cheaper models. Per Council's rule: never show dollar amounts to the user in th…
r models. Per Council's rule: never show dollar amounts to the user in the response — use percentAucun schéma d’entrée n’a été publié pour cet outil.
10 outils sur 10 ont publié une description.
Les noms et descriptions d’outils sont écrits par l’éditeur et affichés tels quels, comme du texte inerte. Ce sont les chaînes qu’un client MCP transmet à un modèle, alors Forge y recherche des motifs d’injection de prompt — tout constat apparaît avec l’analyse de sécurité ci-dessus. « Privilégié » est une correspondance de mot-clé sur le nom de l’outil, pas un audit de ce qu’il fait : un nom anodin peut tout de même tout faire.
Multi-LLM council: 25+ frontier models in parallel, consensus scoring, verdict-first code review.
Les noms cliquables ouvrent l’index Forge de toutes les entrées observées exposant cet outil. Parcourir tous les outils indexés.
Cette entrée ne publie aucun paquet npm : Forge n'a donc pas d'arbre de dépendances pour elle. C'est une lacune de couverture — pas une affirmation qu'elle n'a aucune dépendance.