How to Use the LicenseCheck API MCP in LlamaIndex

Q: How do I load LicenseCheck API tools into LlamaIndex?

Install llama-index-tools-mcp and initialize the BasicMCPClient to connect to the MCP Server. Convert the server tools using mcptoolspec.totoollistasync() and pass them to your FunctionAgent.

Q: Can LlamaIndex index results from the LicenseCheck API?

Yes, you can query listalllicenses and feed the output documents directly into a LlamaIndex vector index. This allows your RAG application to perform semantic search over the entire license database.

Q: How do I limit which LicenseCheck API tools LlamaIndex can access?

You use the allowedtools filter when setting up McpToolSpec. This lets you restrict your LlamaIndex agent to only use checksoftwarelicense while hiding administrative tools.

Index license compliance data into LlamaIndex vector stores for semantic compliance queries.

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Create your Vinkius account to connect LicenseCheck API to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LicenseCheck API with LlamaIndex

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Semantic search with LlamaIndex and this MCP Server

`list_all_licenses` extracts the complete database of licenses so LlamaIndex can index the raw text into your vector store. Your agent then performs semantic search over these legal texts to find obscure clauses. Instead of searching for exact strings, users ask questions about redistribution rights. LlamaIndex queries the indexed data from `get_license_details` to return answers grounded in actual legal metadata.

Live data retrieval for RAG pipelines

`check_software_license` queries the live database to inject real-time compliance status directly into your RAG prompt. This prevents your agent from relying on outdated training data when evaluating new packages. The retrieved license terms from `get_license_details` are formatted as node metadata. This ensures your synthesis step has access to precise legal conditions without relying on LLM memory.

Automated index health checks

`check_api_status` runs before LlamaIndex starts its indexing pipeline to verify the source database is reachable. This prevents empty documents from being inserted into your vector index if the API is down. You integrate this check into your ingestion pipeline using `McpToolSpec` connected to the MCP Server. If the status is red, the pipeline pauses, saving database write operations and keeping your index clean.

Setup guide

Set up LicenseCheck API 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 LicenseCheck API 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 LicenseCheck API tools.",
)
response = await agent.run("List recent LicenseCheck API data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LicenseCheck. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LicenseCheck API MCP in LlamaIndex

Install `llama-index-tools-mcp` and initialize the `BasicMCPClient` to connect to the MCP Server. Convert the server tools using `mcp_tool_spec.to_tool_list_async()` and pass them to your `FunctionAgent`.

Yes, you can query `list_all_licenses` and feed the output documents directly into a LlamaIndex vector index. This allows your RAG application to perform semantic search over the entire license database.

Yes, LlamaIndex calls the tools asynchronously. When querying `get_license_details` for dozens of dependencies, the async execution prevents your application from blocking during network calls.

You use the `allowed_tools` filter when setting up `McpToolSpec`. This lets you restrict your LlamaIndex agent to only use `check_software_license` while hiding administrative tools.

Only the raw license identifiers and query strings are sent to the server. Vinkius runs the MCP Server in an ephemeral, zero-trust V8 sandbox, meaning your search queries are never stored or used to train models.

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