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How to Use the BL.INK MCP in LlamaIndex

Index your link data into LlamaIndex knowledge bases for smarter, grounded RAG applications.

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LlamaIndex

Connect BL.INK MCP to LlamaIndex

Create your Vinkius account to connect BL.INK 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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Ground LlamaIndex queries in real link data

Map `list_links` output into your vector index. You build a knowledge base that knows the current state of every redirect you own. When you ask about your top-performing content, the agent uses `get_link_analytics` to pull fresh metrics. It answers your questions using live API data instead of stale training sets.

Query BL.INK link metadata

The `get_link` tool provides granular details about your URLs. LlamaIndex stores these results as searchable documents for later retrieval. Your RAG application searches through these indexed details to find specific campaigns. It then presents a summary of your link performance based on the actual API records.

Automate domain indexing for LlamaIndex

Use `list_domains` to pull your branding infrastructure into your LlamaIndex context. The agent learns which domains are active for specific product lines. Retrieve specific domain constraints with `get_domain` to inform your index. This keeps your RAG system aware of your current naming conventions and link routing rules.

Setup guide

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BL.INK. 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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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BL.INK MCP in LlamaIndex

It integrates directly via the `McpToolSpec` class. You convert the tools into a format LlamaIndex understands and pass them to your agent.
You index the tool outputs as documents. This allows you to perform semantic searches over your click history and link metadata.
Only if you configure your LlamaIndex vector store to persist them. The server itself does not store your link data permanently.
You can use an allowed_tools filter when defining your agent. This restricts the agent to only the link operations you permit.
Access is scoped to your specific endpoint token. The server treats your account information as temporary input for the `get_account_info` tool only.

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