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DataJud (CNJ) MCP Server

answering

DataJud (CNJ) is answering right now. Last checked 10 min ago. It exposes 11 tools.

Public lookup of Brazilian court cases (metadata + docket) via the CNJ/DataJud API. Free, no login.

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 90 days of history · worst day 90%
90 days agonow
96.7%
Uptime 24h
88 of 91 checks
11
Tools
read from the server
620 ms
Response time
average over 24h
open, no key
Access
streamable-http

What changed 175

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 August 2026. No other catalogue keeps this.

2 Nov a tool changed version6 times that day
30 Oct a tool changed version
27 Oct a tool changed version2 times that day
26 Oct a tool changed version6 times that day
24 Oct a tool changed version
23 Oct a tool changed version8 times that day
22 Oct a tool changed version2 times that day
21 Oct a tool changed version2 times that day
20 Oct a tool changed version2 times that day
14 Oct a tool description was rewritten datajud_search
and 165 more, back to 8 August 2026

DataJud (CNJ) does not always answer

Over the last week it answered 97.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add datajud-mcp --transport http https://api.mcp.ai/p_datajud
Settings → Connectors → Add custom connector, then paste this address
https://api.mcp.ai/p_datajud
~/.codex/config.toml
[mcp_servers.datajud-mcp]
url = "https://api.mcp.ai/p_datajud"
.cursor/mcp.json
{
  "mcpServers": {
    "datajud-mcp": {
      "url": "https://api.mcp.ai/p_datajud"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "datajud-mcp": {
      "type": "http",
      "url": "https://api.mcp.ai/p_datajud"
    }
  }
}

Available tools 11

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

datajud
datajud_get_processo
Busca processo por número CNJ e tribunal. Retorna `tribunal`, `total`, `count` e `processos[]` (metadados e movimentações por instância). Só sem resultados inclui `ausencia`. Aceita número com ou sem máscara. Quando `processos` está vazio, `ausencia` traz o motivo provável (numero_invalido | tribunal_divergente | nao_publicado | carga_ausente | indeterminado) e a explicação. Com resultados, esse bloco não é retornado. Leia esse bloco antes de repetir a consulta em outra tool: a API pública do CNJ não publica processo em segredo de justiça, então `nao_publicado` NÃO significa que o processo não existe. O processo que sobe por recurso MANTÉM o número da origem: o AIRR/RR de um processo do TRT continua com o número do TRT no índice `tst` (e o REsp de TJ/TRF no `stj`). Quando o 2º grau registra esse recurso, a resposta inclui `instancia_superior`; para ver em que instância o processo está agora, use datajud_localizar_processo.
datajud_localizar_processo
Localiza em que instância o processo está agora, só pelo número CNJ: consulta a origem e o tribunal superior (TRT → TST, TJ/TRF → STJ). O tribunal de origem é derivado do número e os dois índices são consultados em paralelo. Retorna `instancias[]` ordenadas (1º grau → 2º grau → superior) com tribunal, grau, classe, órgão julgador e último movimento, `instancia_mais_recente` e `consultas[]` (status de cada índice consultado). Consulta processual trabalhista no TST: o processo que sobe ao TST (recurso de revista, AIRR) MANTÉM o número do TRT de origem, então consultar só o TRT nunca mostra a fase no TST. Se um índice falhar, `consultas[]` traz o erro dele e o outro resultado continua valendo. Sem nenhum resultado, inclui `ausencia` (mesmo diagnóstico de datajud_get_processo). O STF não está no DataJud. Para a timeline completa de uma instância, use datajud_movimentos com o `tribunal` dela.
datajud_movimentos
Consulta movimentações por número CNJ e tribunal. Retorna `tribunal`, `numeroProcesso` e `instancias[]` (timeline e metadados). Só sem resultados inclui `ausencia`. Ideal para detectar movimentação nova. Quando `instancias` está vazio, `ausencia` traz o mesmo diagnóstico de datajud_get_processo (motivo provável + explicação). Com resultados, esse bloco não é retornado. Quando o 2º grau registra recurso ao tribunal superior (recurso de revista/AIRR → TST, recurso especial → STJ), inclui `instancia_superior` com o próximo passo: o processo mantém o mesmo número lá.
datajud_raw_query
Avançado: envia uma query Elasticsearch crua pro índice do tribunal (escape hatch). `query` é SÓ a cláusula de busca (ex.: { match: { "classe.nome": "Apelação" } }); size, sort, _source e search_after vão nos campos próprios. Use search_after (valor `sort` do último hit) pra paginar além de 10.000 resultados. A API pública do CNJ é lenta em índices grandes: prefira size pequeno e `_source` com só os campos que precisa.
datajud_search
Busca processos em um tribunal por classe, órgão julgador e/ou assunto (códigos das tabelas do CNJ), paginada e ordenada por data de ajuizamento. DataJud NÃO indexa nome de parte nem OAB — pra isso use o MCP djen/legal.
authenticate
authenticate
MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
connect
connect
Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
marketplace
marketplace
The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
report
report_bug
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
show
show_version
Show the current MCP platform and adapter versions.
toolkit
toolkit_info
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Endpoints

URLTransportStateLatencyChecked
https://api.mcp.ai/p_datajud streamable-http answering 199 ms 10 min ago

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DataJud (CNJ) — questions

Answers built from our own checks of this server.

What can DataJud (CNJ) do?
It exposes 11 tools, read directly from the server on our last check. Among them: authenticate, connect, datajud_get_processo, datajud_localizar_processo, datajud_movimentos, datajud_raw_query and 5 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is DataJud (CNJ) working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 88 of 91 checks got a reply (96.7%), average response time 620 ms. The bar chart above shows every period we have measured.
Is DataJud (CNJ) still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect DataJud (CNJ)?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does DataJud (CNJ) need an API key?
No. DataJud (CNJ) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 11 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is DataJud (CNJ)?
It answers our handshake in 620 ms on average, which is faster than 17% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.