OpenLaws MCP Server for LangChain 14 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect OpenLaws through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"openlaws": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using OpenLaws, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 OpenLaws MCP Server
Connect your OpenLaws API account to any AI agent and take full control of legal research, citation validation, and legislative monitoring workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with OpenLaws through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Statute Search — Search federal and state statutes by keyword (BM25) across all 50 states simultaneously, or scope to specific jurisdictions
- Regulation Search — Query Code of Federal Regulations (CFR) and state regulations with fast keyword search and jurisdiction filtering
- Case Law Search — Search ~5-6 million case opinions from Harvard CAP and CourtListener, filtered by jurisdiction, court, or federal circuit
- Citation Validation — Validate and identify malformed legal citations, find original government sources for citations across 53 jurisdictions
- Constitutional Provisions — Search US Constitution and all 50 state constitutions for specific provisions and amendments
- Legislative History — Retrieve historical versions of federal statutes and generate redline comparisons between legislative sessions
- Recent Updates — Monitor recent legal updates and changes across jurisdictions for compliance tracking
The OpenLaws MCP Server exposes 14 tools through the Vinkius. Connect it to LangChain 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 OpenLaws to LangChain via MCP
Follow these steps to integrate the OpenLaws MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 14 tools from OpenLaws via MCP
Why Use LangChain with the OpenLaws MCP Server
LangChain provides unique advantages when paired with OpenLaws through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine OpenLaws MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across OpenLaws queries for multi-turn workflows
OpenLaws + LangChain Use Cases
Practical scenarios where LangChain combined with the OpenLaws MCP Server delivers measurable value.
RAG with live data: combine OpenLaws tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OpenLaws, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OpenLaws tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OpenLaws tool call, measure latency, and optimize your agent's performance
OpenLaws MCP Tools for LangChain (14)
These 14 tools become available when you connect OpenLaws to LangChain via MCP:
get_caselaw_opinion
Use this to get the complete court opinion after finding it via search_caselaw. The response includes the full opinion text, court details, date, citations, and parties involved. Get a specific case law opinion by its ID
get_constitution
Use this to get the complete provision content after finding it via search_constitutions. The response includes rich text content, article/section information, and amendments history. Get a specific constitution provision by its ID
get_jurisdiction
Use the jurisdiction_id from list_jurisdictions to inspect details before scoping searches. Get details of a specific jurisdiction
get_recent_updates
You can view updates across all jurisdictions or filter to a specific state/federal level. This is useful for compliance monitoring and staying current with legislative changes. Optionally specify jurisdiction ID and limit the number of results. Example: check what changed in California employment law this month, or monitor federal regulatory updates. Get recent legal updates across jurisdictions or in a specific jurisdiction
get_redline_comparison
This shows exactly what changed between legislative sessions or amendment cycles. Currently available for federal laws only (USC). Optionally specify from and to version dates. If not specified, compares the two most recent versions. Use this to understand legislative changes and their impact on compliance requirements. Get redline comparison between two versions of a federal statute
get_regulation
Use this to get the complete regulation content after finding it via search_regulations. The response includes rich text content, citations, and regulatory context. Get a specific regulation by its ID
get_statute
Use this to get the complete statute content after finding it via search_statutes. The response includes rich text content, citations, effective dates, and annotations. Get a specific statute by its ID
get_statute_history
This allows you to see how the law has changed over time. Currently available for federal laws only (USC - United States Code). Use the statute_id from search_statutes to view the legislative history and amendments. Get historical versions of a federal statute
list_jurisdictions
Jurisdictions include federal (US), all 50 states, District of Columbia, and Puerto Rico. Each jurisdiction has an ID that can be used to scope searches to specific regions. Use this to discover what jurisdictions are available before searching statutes, regulations, or caselaw. List all available legal jurisdictions in OpenLaws
search_caselaw
Data sourced from Harvard CAP project and CourtListener (~5-6 million cases). You can filter by jurisdiction, specific court, or federal circuit. The query parameter is required. Optionally filter by jurisdiction_id and court name. Results include case opinions, court information, dates, and citations. Example: search for " Fourth Amendment privacy" or "breach of contract" cases. Search case law opinions by keyword
search_constitutions
You can search the US Constitution and all 50 state constitutions simultaneously. The query parameter is required. Optionally filter by jurisdiction ID. Results include constitutional provisions, amendments, and relevant sections. Example: search for "free speech" or "right to privacy" across all constitutions. Search constitutions by keyword across jurisdictions
search_regulations
You can search all jurisdictions simultaneously or scope to a specific region. The query parameter is required and contains the search term. Optionally filter by jurisdiction ID. Results include regulation text, citations, and contextual information. Example: search for "environmental protection" or "workplace safety" regulations. Search regulations by keyword across jurisdictions
search_statutes
You can search all 50 states simultaneously for 50-state surveys, or scope to a specific jurisdiction. The query parameter is required and contains the search term. Optionally filter by jurisdiction ID. Results include statute text, citations, effective dates, and jurisdiction information. Example: search for "data privacy" across all jurisdictions, or "employment" in California only. Search statutes by keyword across jurisdictions
validate_citation
This tool helps identify malformed citations and find the authoritative source document. Supports citations from all 50 states, DC, Puerto Rico, and federal sources. The citation parameter should be a standard legal citation format (e.g., "42 U.S.C. § 1983", "Brown v. Board of Education, 347 U.S. 483"). Use this to validate citations in legal documents, spreadsheets, or databases before relying on them. Validate a legal citation and find its original source
Example Prompts for OpenLaws in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with OpenLaws immediately.
"Search for data privacy statutes across all US states and summarize the key findings."
"Validate these citations: '42 U.S.C. § 1983' and 'Roe v. Wade, 410 U.S. 113' and tell me if they're correct."
"Show me recent legislative updates in California employment law and any changes this month."
Troubleshooting OpenLaws MCP Server with LangChain
Common issues when connecting OpenLaws to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpenLaws + LangChain FAQ
Common questions about integrating OpenLaws MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect OpenLaws with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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.
TypeScript-native agent framework for modern web stacks.
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 OpenLaws to LangChain
Get your token, paste the configuration, and start using 14 tools in under 2 minutes. No API key management needed.