Legal MCP Server

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

Legal & IP Intelligence MCP — Courts, Enforcement & TTAB for AI

One MCP connection. US courts, litigation, enforcement, and IP — all agent-ready.

Most legal MCP servers stop at court records. This one unifies ten US legal and IP data streams behind a single connection — court records, case law, federal dockets, judges, oral arguments, SEC enforcement, FINRA BrokerCheck, USPTO TTAB oppositions, copyright registrations, and trademark-conflict alerts — each returning the same normalized JSON envelope. Connect Claude, ChatGPT, or Cursor once and run litigation monitoring, enforcement/compliance screening, and brand-protection diligence without wiring up a dozen separate scrapers or paying PACER per page.

Legal and IP data is high-value, public, and notoriously fragmented. Federal dockets live behind PACER's per-page paywall and the RECAP archive; case law sits in CourtListener; trademark oppositions are in the USPTO's TTAB system; copyright registrations are in a separate Copyright Office catalog; enforcement actions are scattered across SEC litigation releases and FINRA BrokerCheck. Each source has its own format, its own rate limits, and no shared schema. Pulling them together for an agent means solving each one — and re-solving as the systems change.

This MCP server does that work once and exposes the result as agent-native tools. The same NexGenData infrastructure that powers our standalone legal and IP actors — used by litigators, IP counsel, compliance teams, and legal-tech builders — now sits behind a single streamable-HTTP endpoint.

This server is litigation- and enforcement-focused. For deeppatent search(claims, citations, prior art, inventor/assignee lookups), pair it with our companionPatents & Trademarks (IP) MCP, which is purpose-built for that.

Every tool accepts acriteriaobject (party names, keywords, dates, courts, etc.) and alimit, and returns a uniform envelope: a human-readable summary plusstructuredContentwith the records.

Connect from Claude Desktop / any MCP client

{ "mcpServers": { "legal-ip-intelligence": { "url": "https://nexgendata--legal-mcp-server.apify.actor/mcp", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } }

That's the whole setup. Your agent now has ten US legal & IP tools.

// tools/call { "name": "track_sec_litigation", "arguments": { "criteria": { "startdt": "2026-01-01", "keyword": "insider trading" }, "limit": 25 } }

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/legal-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/legal-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

echo '{}' | apify call nexgendata/legal-mcp-server --silent --output-dataset

{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/legal-mcp-server" } } }

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