Bring Judicial Records
to CrewAI
Learn how to connect CNJ (Datajud API Pública) to CrewAI and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the CNJ (Datajud API Pública) MCP Server?
Connect to the CNJ Datajud Public API to perform deep searches across the Brazilian judicial system. This server allows AI agents to retrieve detailed metadata about lawsuits, court movements, and procedural history directly from the official national database.
What you can do
- Search by CNJ Number — Retrieve full details of a specific lawsuit using its unique unformatted numbering and the target court alias.
- Class & Organ Filtering — Find processes categorized by their Procedural Class (TPU) and specific Court Organ codes.
- Advanced Elasticsearch Queries — Execute complex searches using the full power of Elasticsearch Query DSL to filter by dates, parties, or specific metadata fields.
- Court Coverage — Access data from various courts including TRFs, TJs, TST, and more via their respective API aliases.
How it works
- Subscribe to this server
- Enter your CNJ Datajud API Key
- Start querying the Brazilian judicial database from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Legal Professionals — Quickly check the status and history of lawsuits without manual portal navigation.
- Compliance Teams — Automate background checks and legal risk assessments using official government data.
- Researchers & Analysts — Perform bulk queries and advanced data extraction for legal statistics and trends.
Built-in capabilities (3)
g., api_publica_trf1, api_publica_tjsp). Search for a specific judicial process by its CNJ number
Execute an advanced Elasticsearch query against the Datajud API
Search processes by Procedural Class and Court Organ
Why CrewAI?
When paired with CrewAI, CNJ (Datajud API Pública) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CNJ (Datajud API Pública) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
CNJ (Datajud API Pública) in CrewAI
CNJ (Datajud API Pública) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect CNJ (Datajud API Pública) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for CNJ (Datajud API Pública) in CrewAI
The CNJ (Datajud API Pública) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
CNJ (Datajud API Pública) for CrewAI
Every tool call from CrewAI to the CNJ (Datajud API Pública) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find a process if I only have the CNJ number?
Use the search_process_by_number tool. You will need the unformatted digits of the process and the specific court alias (e.g., api_publica_tjsp for São Paulo State Court).
Can I list multiple processes from a specific court organ?
Yes, use search_processes_by_class_and_organ. Provide the court alias, the procedural class code, and the organ code. You can also control the result size and use pagination.
What is the 'Advanced Search' tool for?
The search_processes_advanced tool allows you to send a raw Elasticsearch query body. This is useful for complex filtering that isn't covered by standard search tools, such as filtering by specific dates or nested metadata.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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