KnowJudges
Free, source-linked research on U.S. judges and courts, including judicial profiles, biographies, courtroom rules, AI-abuse cases, and recent rule changes.
README
KnowJudges MCP
Add source-linked U.S. judge and court research directly to AI assistants and agents through the Model Context Protocol.
Website: https://knowjudges.com
MCP documentation: https://knowjudges.com/mcp
Remote MCP endpoint: https://mcp.knowjudges.com/mcp
Overview
The KnowJudges MCP server exposes six focused research tools over Streamable HTTP.
Compatible MCP clients can discover the available tools, validate inputs, and retrieve structured, source-linked KnowJudges results without building a custom API integration.
Public access currently requires no authentication token.
Connect
Use this remote MCP endpoint:
https://mcp.knowjudges.com/mcp
Transport: Streamable HTTP Authentication: None required for public access
For clients that support an MCP server configuration object:
{
"mcpServers": {
"know-your-judge": {
"url": "https://mcp.knowjudges.com/mcp"
}
}
}
Configuration field names vary between MCP clients. If your client asks only for a server URL, enter:
https://mcp.knowjudges.com/mcp
The official KnowJudges connection instructions use this same remote endpoint and transport.
Available tools
find_judges
Resolve a likely judge and canonical KnowJudges slug.
Use this when you know some combination of a judge's name, court, or jurisdiction and need to identify the correct KnowJudges profile.
get_judge_profile
Retrieve a public judge profile containing source-linked, scoped findings.
get_judge_biography
Retrieve sourced public background information about a judge without behavioral inference.
get_courtroom_presentation_rules
Research courtroom presentation requirements and guidance, including topics such as:
- PowerPoint
- Video
- Exhibits
- Demonstratives
- Related courtroom presentation requirements
find_ai_abuse_cases
Find up to 10 court cases involving AI-generated legal errors.
Results can include:
- Judge
- Court response
- Dataset source
- Verified official decision link when available
get_recent_rule_changes
Retrieve changes recorded since KnowJudges change tracking began.
These are the six tools currently exposed by the public MCP service.
Example prompt
After connecting the MCP server, try:
Find the five most recent New York court cases involving fabricated AI-generated legal material. Include the judge, court response, and verified official decision URL when available.
A provenance-aware response should preserve the underlying source information and avoid making claims beyond what the published records support.
Rate limits
The public KnowJudges REST API and MCP server share the same allowance for each public client or network:
| Window | Allowance |
|---|---|
| Hourly | 20 requests |
| Daily | 100 requests |
Requests exceeding either limit return HTTP 429.
MCP initialization, tool discovery, and individual tool calls are separate HTTP requests and each counts toward this shared allowance.
For datasets, recurring feeds, batch research, higher-volume usage, or private integrations, see:
https://knowjudges.com/mcp
Provenance
KnowJudges is designed around source-linked research.
Applications and agents should preserve source information returned by MCP tools, including official decision links and other provenance metadata where available.
In particular:
- Do not remove source URLs when presenting results.
- Do not represent a source as supporting more than it actually states.
- Distinguish judge-specific information from courtwide or jurisdiction-wide guidance.
- Preserve verified official decision links when returned.
- Do not convert sourced facts into unsupported behavioral conclusions.
Example research workflow
A typical agent workflow might be:
User question
↓
find_judges
↓
canonical judge
↓
get_judge_profile
↓
get_judge_biography
↓
get_courtroom_presentation_rules
↓
source-linked answer
For legal-AI research:
User question
↓
find_ai_abuse_cases
↓
source-linked cases
↓
verified official decisions where available
REST API
KnowJudges also provides a public REST API for applications that do not use MCP.
API documentation:
https://knowjudges.com/api
MCP is generally the simpler interface for MCP-compatible AI assistants and agents, while the REST API provides direct HTTP access for conventional applications.
Links
- KnowJudges: https://knowjudges.com
- Judicial Registry: https://knowjudges.com/kyj
- Judicial Directory: https://knowjudges.com/judicial-directory
- API: https://knowjudges.com/api
- MCP documentation: https://knowjudges.com/mcp
- Remote MCP endpoint:
https://mcp.knowjudges.com/mcp
About KnowJudges
KnowJudges provides free, source-linked research on U.S. judges and courts through public judicial profiles, court information, research tools, API access, and MCP integrations.
The MCP server is intended to make that information directly usable by AI assistants, research agents, and other MCP-compatible software while preserving the provenance of the underlying research.
For current terms, data-use information, licensing information, and corrections policies, refer to the relevant pages on https://knowjudges.com.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.