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How to Use the Inform Direct MCP in LlamaIndex

Index live UK corporate filings directly into your LlamaIndex RAG pipelines.

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LlamaIndex

Connect Inform Direct MCP to LlamaIndex

Create your Vinkius account to connect Inform Direct 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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Build a queryable index of your UK companies

LlamaIndex converts active Inform Direct corporate records into a searchable knowledge base. Your agent runs `list_companies` and `get_company` to pull raw entity data, which the framework indexes into a vector store. Instead of searching through static PDFs, you query your LlamaIndex vector store to find which UK entities need attention. The framework keeps your vector store updated by pulling fresh Inform Direct data directly from the API.

Semantic search with LlamaIndex

This MCP Server lets your LlamaIndex agent query historical corporate submissions. The agent executes `list_filings` to retrieve filing histories, then parses the raw text for specific financial patterns or dates. You can ask your LlamaIndex agent complex questions about shareholder changes or director appointments. The system matches your query against indexed data pulled from `list_shareholders` and `list_directors` to give you accurate answers.

Track filing deadlines with live data lookup

Avoid compliance penalties by indexing real-time deadlines directly into LlamaIndex. Your agent uses `get_filing_status` to fetch upcoming dates, blending this live data with your internal corporate calendars. LlamaIndex ensures the agent retrieves the actual API response instead of relying on outdated vector embeddings. If the connection drops, the LlamaIndex pipeline runs `check_informdirect_status` to verify the API pipeline is still active.

Setup guide

Set up Inform Direct MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Inform Direct MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 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 Inform Direct tools.",
)
response = await agent.run("List recent Inform Direct data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Inform Direct. 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 Inform Direct MCP in LlamaIndex

Use the LlamaIndex MCP tool spec to connect to the Vinkius endpoint. The framework fetches data via `list_companies` and converts the JSON output into documents for your vector index.
Yes. You can schedule a pipeline that calls `list_filings` to check for new submissions, then incrementally updates your index with the latest corporate data.
The server provides raw data tools like `list_directors`, while LlamaIndex handles the vectorization and search. This separation ensures you always search against actual, unmodified corporate records.
Pass an allowed tools filter to the MCP client during setup. This lets you expose only read tools like `get_company` and hide write tools like `remove_company` from your agent.
Your UK statutory records, shareholder registries, and filing deadlines are protected by Vinkius's zero-trust MCP sandbox architecture. The data flows directly from the secure API to your local index without being cached or stored on external servers.

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