How to Use the US Statute of Limitations Calculator MCP in LlamaIndex

Q: How do I filter tools for my LlamaIndex agent?

Use the allowedtools filter during your agent setup. This ensures the agent only calls the specific legal tools you authorize for its workflow.

Index legal deadline data into your LlamaIndex knowledge base with the US Statute of Limitations Calculator.

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Connect US Statute of Limitations Calculator MCP to LlamaIndex

Create your Vinkius account to connect US Statute of Limitations Calculator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup US Statute of Limitations Calculator with LlamaIndex

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Index filing deadlines in LlamaIndex

Process standard deadlines using `calculate_statute_deadline` and convert the results into searchable vector embeddings. This turns raw legal dates into queryable knowledge. Your LlamaIndex application can now retrieve these dates during RAG operations. You get answers backed by precise statutory data rather than generic estimates.

Semantic tolling analysis

Run `check_tolling_impact` to extract nuances of deadline extensions. By indexing these impacts, you allow your agent to reason over past cases with known tolling patterns. This creates a unified index where live API data meets historical context. Your queries become significantly more grounded as the agent navigates both static statutes and dynamic extensions.

Discovery rule grounding

Ground your agent's knowledge by calling `evaluate_discovery_rule` and storing the output in your vector store. This ensures your RAG pipeline understands the difference between incident dates and discovery dates. Your system now holds a clear record of when the statute of limitations clock actually starts. It prevents the model from hallucinating deadlines by forcing it to reference indexed, calculation-backed facts.

Setup guide

Set up US Statute of Limitations Calculator MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all US Statute of Limitations Calculator MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to US Statute of Limitations Calculator tools.",
)
response = await agent.run("List recent US Statute of Limitations Calculator data")

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Common questions about US Statute of Limitations Calculator MCP in LlamaIndex

You use the MCP tool spec to fetch available tools and pass them to your agent. This allows the agent to call the tools and index the returned data into your knowledge base.

Once you index the tool outputs, your agent can retrieve them from your vector store. This turns previous calculations into a searchable history for future legal research.

It provides factual, state-specific deadline data that grounds your AI responses. This reduces the risk of incorrect dates appearing in your generated legal summaries.

Use the allowed_tools filter during your agent setup. This ensures the agent only calls the specific legal tools you authorize for its workflow.

The tool only requires basic incident parameters to function. All inputs are handled in memory and are never persisted or logged in our backend systems.

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