mcp server
Painel Sintético Concorde
787 personas sintéticas do consumidor bancário brasileiro para discovery de produtos.
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Most recent push to the repository was 2026-07-23.
What this server can do
10 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
avaliar_pergunta- Fronteira de confiança (classificação LOCAL, preserva privacidade). NÃO recebe a pergunta: devolve a RUBRICA para VOCÊ (assistente) classificar a pergunta do usuário no seu próprio contexto, sem enviá-la ao servidor. Bandas: 'inferivel' (pode rodar), 'arriscado' (rode com ressalva), 'humano' (NÃO pergunte a persona sintética — exige estado vivido). Aplique antes de preparar_pesquisa.
buscar_fatos(eixo, texto, persona_id, incluir_corpo)- Busca nos 105 fatos estatísticos. Modos: texto livre (busca em métrica/fonte/corpo), por eixo (por-classe, por-regiao, por-genero, por-investidor, por-divida, por-idade, por-fonte-renda, por-composto, populacional), ou por persona_id (fatos cujo filtro casa com a persona).
filtrar_personas(filtro, limite)- Filtra as 787 personas pela DSL determinística do painel. Ex.: "classe_social == 'Classe C' & divida_ativa == 'Sim' & regiao == 'Nordeste'". Vazio retorna todas. Retorna contagem e mini-perfis (até `limite`).
get_distribuicoes(arquivo)- Tabelas de calibração do painel: CSVs de distribuição (pesos do sorteio original) e registro de taxas. Sem nome, lista os arquivos.
get_instituicao(nome)- Ficha de uma instituição financeira (cadastro, volumetria, reputação, reviews). 12 bancos tradicionais e digitais. Sem nome, lista as disponíveis.
get_personas(ids)- Fichas completas de até 10 personas por id (atributos + Grounding com fatos/fontes + História). Use para dar voz às personas com ancoragem nos dados. IMPORTANTE: fatos marcados _composicao_ são P(público | métrica), o inverso de propensão — não os leia como probabilidade da persona; fatos _referencia_ não são proporção de pessoas. Required: ids.
listar_vozes(tema, completo)- Vozes verbatim REAIS (reviews, relatos) por tema: atendimento, bloqueio, canais, credito, endividamento, gestao-financeira, golpes, pix, tarifas (busca por substring no id/tema). Sem tema, lista todas as 17. Representatividade não-populacional — use como ilustração de linguagem, não como estatística.
preparar_pesquisa(n, seed, filtro, opcoes, formato, escala_max, escala_min)- Prepara uma pesquisa de fan-out ISOLADO por persona (mede sem convergência). A PERGUNTA do usuário NÃO é enviada ao servidor (privacidade): você a classifica localmente pela 'fronteira' e a injeta você mesmo em cada pacote. Sorteia N personas e devolve UM pacote por persona (ficha + formato de resposta) + o protocolo para o HOST disparar UMA tarefa/subagente isolado por pacote — cada um responde só a SUA persona, sem ver as outras. A agregação é feita LOCALMENTE; o servidor não recebe nem armazena nenhuma resposta. Formatos: 'escolha' (opção única → distribuição), 'pontuar' (nota 0-10 por atributo → média+desvio por opção, recomendado para 'o que importa mais' e mais robusto a colapso), 'escala' e 'aberta'. Pode filtrar o segmento (classe, idade, região, etc.) pela DSL.
sortear_amostra(n, seed, filtro)- Sorteia uma amostra aleatória de personas (opcionalmente dentro de um filtro DSL). O painel já reflete as distribuições reais, então a amostra uniforme é representativa do recorte. Required: n.
visao_geral- Visão geral do Painel Sintético Concorde: o que é, contagens, campos disponíveis das personas e como usar as demais ferramentas. Chame primeiro.
Last successful function declaration observed on . Source: https://painel.concorde-painel.workers.dev/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://painel.concorde-painel.workers.dev/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-23 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-13 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-13 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 10 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | painel.concorde-painel.workers.dev | |
| mcp endpoint status | ok | The server listed 10 functions when asked. | as of probe | painel.concorde-painel.workers.dev |
Where to get it
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These share tags the maintainers applied themselves, such as cloudflare-workers, durable-objects, product-discovery, synthetic-data. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: anthropic, brazil, claude, cloudflare-workers, durable-objects, fintech, mcp, model-context-protocol, product-discovery, synthetic-data, synthetic-personas, typescript, user-research.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json