DataJud (CNJ)
Public lookup of Brazilian court cases (metadata + docket) via the CNJ/DataJud API. Free, no login.
我該用這個嗎
品質與安全性
發現項目（1）
- LOWTool 'connect' description lacks action verb在 connect 中
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"datajud-mcp": {
"url": "https://api.mcp.ai/p_datajud"
}
}
}遠端端點
https://api.mcp.ai/p_datajudstreamable-http它能做什麼
工具清單
工具（10）
🟢datajud_get_processo(tribunal, numero_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.
輸入結構描述
{
"type": "object",
"properties": {
"tribunal": {
"type": "string",
"enum": [
"tst",
"stj",
"tse",
"stm",
"trf1",
"trf2",
"trf3",
"trf4",
"trf5",
"trf6",
"tjac",
"tjal",
"tjam",
"tjap",
"tjba",
"tjce",
"tjdft",
"tjes",
"tjgo",
"tjma",
"tjmg",
"tjms",
"tjmt",
"tjpa",
"tjpb",
"tjpe",
"tjpi",
"tjpr",
"tjrj",
"tjrn",
"tjro",
"tjrr",
"tjrs",
"tjsc",
"tjse",
"tjsp",
"tjto",
"trt1",
"trt2",
"trt3",
"trt4",
"trt5",
"trt6",
"trt7",
"trt8",
"trt9",
"trt10",
"trt11",
"trt12",
"trt13",
"trt14",
"trt15",
"trt16",
"trt17",
"trt18",
"trt19",
"trt20",
"trt21",
"trt22",
"trt23",
"trt24",
"tre-ac",
"tre-al",
"tre-am",
"tre-ap",
"tre-ba",
"tre-ce",
"tre-df",
"tre-es",
"tre-go",
"tre-ma",
"tre-mg",
"tre-ms",
"tre-mt",
"tre-pa",
"tre-pb",
"tre-pe",
"tre-pi",
"tre-pr",
"tre-rj",
"tre-rn",
"tre-ro",
"tre-rr",
"tre-rs",
"tre-sc",
"tre-se",
"tre-sp",
"tre-to",
"tjmmg",
"tjmrs",
"tjmsp"
]
},
"numero_processo": {
"type": "string"
}
},
"required": [
"tribunal",
"numero_processo"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢datajud_search(tribunal, classe_codigo, orgao_julgador_codigo, assunto_codigo, numero_processo, ...)
Busca processos em um tribunal por classe, órgão julgador e/ou assunto (códigos das tabelas do CNJ), paginada e ordenada por data de ajuizamento. DataJud NÃO indexa nome de parte nem OAB — pra isso use o MCP djen/escavador.
輸入結構描述
{
"type": "object",
"properties": {
"tribunal": {
"type": "string",
"enum": [
"tst",
"stj",
"tse",
"stm",
"trf1",
"trf2",
"trf3",
"trf4",
"trf5",
"trf6",
"tjac",
"tjal",
"tjam",
"tjap",
"tjba",
"tjce",
"tjdft",
"tjes",
"tjgo",
"tjma",
"tjmg",
"tjms",
"tjmt",
"tjpa",
"tjpb",
"tjpe",
"tjpi",
"tjpr",
"tjrj",
"tjrn",
"tjro",
"tjrr",
"tjrs",
"tjsc",
"tjse",
"tjsp",
"tjto",
"trt1",
"trt2",
"trt3",
"trt4",
"trt5",
"trt6",
"trt7",
"trt8",
"trt9",
"trt10",
"trt11",
"trt12",
"trt13",
"trt14",
"trt15",
"trt16",
"trt17",
"trt18",
"trt19",
"trt20",
"trt21",
"trt22",
"trt23",
"trt24",
"tre-ac",
"tre-al",
"tre-am",
"tre-ap",
"tre-ba",
"tre-ce",
"tre-df",
"tre-es",
"tre-go",
"tre-ma",
"tre-mg",
"tre-ms",
"tre-mt",
"tre-pa",
"tre-pb",
"tre-pe",
"tre-pi",
"tre-pr",
"tre-rj",
"tre-rn",
"tre-ro",
"tre-rr",
"tre-rs",
"tre-sc",
"tre-se",
"tre-sp",
"tre-to",
"tjmmg",
"tjmrs",
"tjmsp"
]
},
"classe_codigo": {
"type": "number"
},
"orgao_julgador_codigo": {
"type": "number"
},
"assunto_codigo": {
"type": "number"
},
"numero_processo": {
"type": "string"
},
"size": {
"type": "number"
},
"from": {
"type": "number"
},
"sort_desc": {
"type": "boolean"
}
},
"required": [
"tribunal"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢datajud_movimentos(tribunal, numero_processo)
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.
輸入結構描述
{
"type": "object",
"properties": {
"tribunal": {
"type": "string",
"enum": [
"tst",
"stj",
"tse",
"stm",
"trf1",
"trf2",
"trf3",
"trf4",
"trf5",
"trf6",
"tjac",
"tjal",
"tjam",
"tjap",
"tjba",
"tjce",
"tjdft",
"tjes",
"tjgo",
"tjma",
"tjmg",
"tjms",
"tjmt",
"tjpa",
"tjpb",
"tjpe",
"tjpi",
"tjpr",
"tjrj",
"tjrn",
"tjro",
"tjrr",
"tjrs",
"tjsc",
"tjse",
"tjsp",
"tjto",
"trt1",
"trt2",
"trt3",
"trt4",
"trt5",
"trt6",
"trt7",
"trt8",
"trt9",
"trt10",
"trt11",
"trt12",
"trt13",
"trt14",
"trt15",
"trt16",
"trt17",
"trt18",
"trt19",
"trt20",
"trt21",
"trt22",
"trt23",
"trt24",
"tre-ac",
"tre-al",
"tre-am",
"tre-ap",
"tre-ba",
"tre-ce",
"tre-df",
"tre-es",
"tre-go",
"tre-ma",
"tre-mg",
"tre-ms",
"tre-mt",
"tre-pa",
"tre-pb",
"tre-pe",
"tre-pi",
"tre-pr",
"tre-rj",
"tre-rn",
"tre-ro",
"tre-rr",
"tre-rs",
"tre-sc",
"tre-se",
"tre-sp",
"tre-to",
"tjmmg",
"tjmrs",
"tjmsp"
]
},
"numero_processo": {
"type": "string"
}
},
"required": [
"tribunal",
"numero_processo"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢datajud_raw_query(tribunal, query, size, from, sort, ...)
Avançado: envia um corpo de query Elasticsearch cru pro índice do tribunal (escape hatch). Use search_after pra paginar além de 10k.
輸入結構描述
{
"type": "object",
"properties": {
"tribunal": {
"type": "string",
"enum": [
"tst",
"stj",
"tse",
"stm",
"trf1",
"trf2",
"trf3",
"trf4",
"trf5",
"trf6",
"tjac",
"tjal",
"tjam",
"tjap",
"tjba",
"tjce",
"tjdft",
"tjes",
"tjgo",
"tjma",
"tjmg",
"tjms",
"tjmt",
"tjpa",
"tjpb",
"tjpe",
"tjpi",
"tjpr",
"tjrj",
"tjrn",
"tjro",
"tjrr",
"tjrs",
"tjsc",
"tjse",
"tjsp",
"tjto",
"trt1",
"trt2",
"trt3",
"trt4",
"trt5",
"trt6",
"trt7",
"trt8",
"trt9",
"trt10",
"trt11",
"trt12",
"trt13",
"trt14",
"trt15",
"trt16",
"trt17",
"trt18",
"trt19",
"trt20",
"trt21",
"trt22",
"trt23",
"trt24",
"tre-ac",
"tre-al",
"tre-am",
"tre-ap",
"tre-ba",
"tre-ce",
"tre-df",
"tre-es",
"tre-go",
"tre-ma",
"tre-mg",
"tre-ms",
"tre-mt",
"tre-pa",
"tre-pb",
"tre-pe",
"tre-pi",
"tre-pr",
"tre-rj",
"tre-rn",
"tre-ro",
"tre-rr",
"tre-rs",
"tre-sc",
"tre-se",
"tre-sp",
"tre-to",
"tjmmg",
"tjmrs",
"tjmsp"
]
},
"query": {},
"size": {
"type": "number"
},
"from": {
"type": "number"
},
"sort": {},
"search_after": {}
},
"required": [
"tribunal",
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢show_version
Show the current MCP platform and adapter versions.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡report_bug(message, context, conversation)
Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
輸入結構描述
{
"type": "object",
"properties": {
"message": {
"type": "string"
},
"context": {
"default": "",
"type": "string"
},
"conversation": {
"default": "[]",
"type": "string"
}
},
"required": [
"message"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢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.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢toolkit_info
Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
輸入結構描述
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡marketplace(action, query, mcp_id, limit, tier_slug, ...)
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.
輸入結構描述
{
"type": "object",
"properties": {
"action": {
"default": "search",
"type": "string",
"enum": [
"search",
"describe",
"install",
"uninstall",
"subscribe",
"cancel",
"resume",
"report_bug",
"request_mcp",
"list_tools",
"invoke",
"search_prompts",
"get_prompt",
"publish_prompt"
]
},
"query": {
"default": "",
"type": "string"
},
"mcp_id": {
"default": "",
"type": "string"
},
"limit": {
"default": 10,
"type": "number"
},
"tier_slug": {
"default": "",
"type": "string"
},
"immediate": {
"default": false,
"type": "boolean"
},
"cancel_reason": {
"type": "string",
"enum": [
"too_expensive",
"missing_features",
"switched_service",
"unused",
"customer_service",
"too_complex",
"low_quality",
"other"
]
},
"cancel_comment": {
"default": "",
"type": "string"
},
"message": {
"default": "",
"type": "string"
},
"report_context": {
"default": "",
"type": "string"
},
"conversation": {
"default": "[]",
"type": "string"
},
"request_name": {
"default": "",
"type": "string"
},
"request_details": {
"default": "",
"type": "string"
},
"tool_id": {
"default": "",
"type": "string"
},
"arguments": {
"default": "{}",
"type": "string"
},
"prompt_slug": {
"default": "",
"type": "string"
},
"prompt_vars": {
"default": "{}",
"type": "string"
},
"prompt_category": {
"default": "",
"type": "string"
},
"prompt_tool": {
"default": "",
"type": "string"
},
"prompt_title": {
"default": "",
"type": "string"
},
"prompt_description": {
"default": "",
"type": "string"
},
"prompt_body": {
"default": "",
"type": "string"
},
"prompt_targets": {
"default": [],
"type": "array",
"items": {
"type": "string",
"enum": [
"claude",
"chatgpt",
"cursor",
"lovable"
]
}
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟡authenticate(token)
MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.
輸入結構描述
{
"type": "object",
"properties": {
"token": {
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}社群
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