CourtListener MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CourtListener as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="courtlistener_agent",
tools=tools,
system_message=(
"You help users with CourtListener. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CourtListener tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the CourtListener MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from CourtListener automatically
Why Use AutoGen with the CourtListener MCP Server
AutoGen provides unique advantages when paired with CourtListener through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CourtListener tools to solve complex tasks
Role-based architecture lets you assign CourtListener tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive CourtListener tool calls
Code execution sandbox: AutoGen agents can write and run code that processes CourtListener tool responses in an isolated environment
CourtListener + AutoGen Use Cases
Practical scenarios where AutoGen combined with the CourtListener MCP Server delivers measurable value.
Collaborative analysis: one agent queries CourtListener while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from CourtListener, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using CourtListener data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process CourtListener responses in a sandboxed execution environment
CourtListener MCP Tools for AutoGen (10)
These 10 tools become available when you connect CourtListener to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting CourtListener to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"CourtListener + AutoGen FAQ
Common questions about integrating CourtListener MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect CourtListener to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.