Servidor MCP de AI Law Framework

• Nome no registrocom.ailawframework/ai-law-frameworkverificado no registro MCP

O nome no registro fica sob ailawframework.com. O registro só libera esse espaço de nomes para quem prova controle do domínio por DNS ou HTTP.

• Estadorespondeverificado em 2026-10-21
• Ferramentas14
• O servidor se chamaailawframework
• Versão do servidor1.2.0
• Versão do protocolo2025-06-18

Em 2026-10-21 o servidor respondeu a initialize e tools/list sem login. Primeira resposta em 492 ms.

• As ferramentas fazem todos os casos de uso verificados: assess whether AI may be used for a given legal task; plan which steps AI drafts and which a lawyer checks.

Dito por regras a partir das medições acima. A primeira chamada provável é a escolha de um modelo na lista de ferramentas; leia a descrição antes de confiar nela.

• Nota INITE MCP96 de 100responde 100 · faz o trabalho 100 · definições 93 · contexto 74 · conexão 100
• O que um agente consegue fazer com ele2 de 2 casos de uso
• Respondeuem 100% dos dias7 de 7 verificações diárias
• Mediana da primeira resposta949 ms
• Espaço no contexto do agente≈ 7.885 tokensas definições de todas as ferramentas (19), que o agente carrega a cada turno
• Definições das ferramentasA · 93 de 100
• Resultados tipados0 de 19 ferramentasdeclaram outputSchema: o resultado chega tipado e é lido de uma vez

• Parâmetros sem descrição: em 8 de 19

Um programa verifica o servidor uma vez por dia: initialize e tools/list, sem modelo. Os tokens são o tamanho das definições, a cerca de quatro caracteres por token. A nota é a média de seis verificações do nome, da descrição, do esquema e das anotações de cada ferramenta; diz se as ferramentas estão bem descritas, não se funcionam. A nota pesa só o que foi medido: se responde (25%), se faz o trabalho do produto (25%), definições (20%), contexto (10%), uso (10%) e a facilidade de conectar (10%). Uma parte não medida fica de fora, e uma instrução oculta limita a nota a 40. O estado dos servidores MCP dos fornecedores: método e números →

• start_task

  Opens a work record for one legal task and returns the clarifying questions the framework needs answered (step 1, define the task), less any already answered in `answers`. The first two are the country and, in Australia, the state or…

• record_answers

  Adds the user’s answers to the clarifying questions to the work record. Returns the questions still open, or, once all are answered, the research the task requires.

• record_research

  Adds research findings, each with its source, quote and confirmation status, to the work record. Returns the required research still missing, or the scoring anchors and the governance ceiling the evidence sets.

• assess_and_decide

  Scores the AI option on adoption, efficiency and governance (step 2), caps governance by the recorded evidence, scores the manual route, and returns the decision, its reasons and the order of preference.

• plan_human_work

  Sets the level of each of the seven stages of the task (step 3) from the recorded answers, research and decision, and returns what the lawyer and the AI may and may not do at each stage.

• work_record

  Returns the work record as markdown (steps 4 and 5): the task, the evidence, the decision, the plan, what the AI did, and the checks, approval and release left for the lawyer.

• search_library

  Searches the framework’s published practice areas, tasks, jurisdiction versions, jurisdictions, firm-wide obligations and software profiles. Returns titles, ids and ailawframework.com links.

• get_task_guidance

  Returns one task from the practice library: how AI may be used, its level, what the lawyer must review, its checkpoints, restrictions and sources, and its jurisdiction versions.

• get_jurisdiction_guidance

  Returns the framework’s notes for one jurisdiction, and which stored AI instruments apply to a task in a court or tribunal. Name the forum, or court "no" when no court is involved. A gap means no instrument is stored for that forum.

• get_software_profile

  Returns the framework’s research on one AI product and plan: its facts, the governance considerations found, and the cited sources with their review dates. Accepts a profile id or a product name.

• search_precedents

  Searches the published precedent library (letters, agreements, clauses, checklists, forms, policies and more for every practice area) by title, summary and when to use it. Returns ids, titles, kinds, practice area ids, jurisdictions and…

• get_precedent

  Returns one published precedent’s details: summary, when to use it, authorities, the AI-use guidance (level, what AI may and must not do, what the lawyer checks), licence, the date it states the law as at and how the library maintains it…

• get_started

  For a new user, or when asked what this is: what the AI Law Framework decides, the first questions it asks (country, then state or territory), the five steps, the skills and starting prompts, and a fictional sample matter the user can run…

• get_framework

  Returns the AI Law Framework’s rules: the five steps, the three pillars and their anchors, the decision rule, the four levels, the seven stages and their matrix, and the rules that admit no exception.

• com.ailawframework/firm-brainresponde, exige loginverificado no registro MCP