CourtListener MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CourtListener through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"courtlistener": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "CourtListener Agent",
instructions:
"You help users interact with CourtListener " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with CourtListener?"
);
console.log(result.text);
}
main();
* 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
About CourtListener MCP Server
Empower your AI agent to orchestrate your entire legal research workflow with CourtListener, the world's leading free and open platform for legal data. By connecting CourtListener to your agent, you transform complex legal searches into a natural conversation. Your agent can instantly search for opinions, audit court dockets, and retrieve detailed judge information without you ever touching a technical portal. Whether you are conducting case law research or monitoring judicial activity, your agent acts as a real-time legal assistant, ensuring your research is always grounded in open and accessible data.
Mastra's agent abstraction provides a clean separation between LLM logic and CourtListener tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Opinion Auditing — Search for legal opinions by keyword and retrieve detailed metadata, including court name and date filed.
- Docket Oversight — Query court dockets to stay on top of ongoing litigation and case filings in real-time.
- Judicial Intelligence — Retrieve detailed information about judges and their financial disclosures to maintain strict control over your research context.
- Citation Discovery — List citations for specific opinions to understand the legal network and precedents.
- Court Governance — List all available courts and their metadata to ensure your jurisdictional research is accurate.
The CourtListener MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CourtListener to Mastra AI via MCP
Follow these steps to integrate the CourtListener MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from CourtListener via MCP
Why Use Mastra AI with the CourtListener MCP Server
Mastra AI provides unique advantages when paired with CourtListener through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CourtListener without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every CourtListener tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
CourtListener + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the CourtListener MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query CourtListener, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed CourtListener as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query CourtListener on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using CourtListener tools alongside other MCP servers
CourtListener MCP Tools for Mastra AI (10)
These 10 tools become available when you connect CourtListener to Mastra AI via MCP:
get_court
Get details for a specific court
get_judge
Get details for a specific judge
get_opinion
Get details for a specific opinion
list_citations
List citations for an opinion
list_courts
List all courts
list_financial_disclosures
List judge financial disclosures
list_judges
List judges
list_opinions
List opinions
search_dockets
Search for court dockets
search_opinions
Search for legal opinions
Example Prompts for CourtListener in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with CourtListener immediately.
"Search for court opinions about 'copyright fair use'."
"Show me details for judge ID 1234."
"Check for dockets related to 'SpaceX' in 2024."
Troubleshooting CourtListener MCP Server with Mastra AI
Common issues when connecting CourtListener to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCourtListener + Mastra AI FAQ
Common questions about integrating CourtListener MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect CourtListener with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CourtListener to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.