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How to Use the AbstractAPI MCP in LlamaIndex

Index AbstractAPI enrichment data directly into your LlamaIndex vector stores to ground RAG applications with real-world context.

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LlamaIndex

Connect AbstractAPI MCP to LlamaIndex

Create your Vinkius account to connect AbstractAPI 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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Knowledge-augmented company profiles

The `enrich_company` tool fetches employee counts, industries, and LinkedIn links based on a domain name. LlamaIndex takes this raw output and indexes it into your vector store alongside your internal documents. Grounding your queries in live data prevents hallucinations. When a user asks about a specific vendor, your RAG application retrieves the exact API response rather than guessing the company details.

LlamaIndex MCP Server integration

The `website_screenshot` tool generates a permanent URL of a headless browser render. You can store these URLs in your index to maintain visual records of competitor landing pages over time. Fetching data via your MCP client requires minimal setup. You wrap the basic client in McpToolSpec and pass the resulting list to your FunctionAgent to handle the routing.

Semantic holiday and timezone search

The `list_holidays` tool returns arrays of public and national holidays for any ISO country code. Combining this with the `get_timezone` tool lets you build a searchable knowledge base of global operating hours. Agents can query past sessions to see when a specific market was closed. The framework treats the API output just like any other text chunk in your semantic search pipeline.

Setup guide

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

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

Install llama-index-tools-mcp via pip. Initialize the MCP connection with your Vinkius URL and convert it using McpToolSpec.
Yes. The framework indexes the JSON responses from tools like timezone checks or holiday lists directly into your vector store for semantic querying.
You can pass the tool list directly to the agent constructor. The agent will decide which API endpoints to hit based on the user prompt.
Use the allowed_tools filter when generating your tool list. This prevents the agent from generating avatars if you only want it to validate emails.
Processing sensitive email addresses and EU VAT numbers happens entirely in memory. The ephemeral architecture guarantees the container is destroyed after execution, leaving zero trace of your data on the host system.

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