Can I use my own branded domain for shortening links?

Yes! If you have branded domains configured in your BL.INK account, you can use the `list_domains` tool to find their IDs and pass a `domain_id` to the `shorten_link` action.

How do I check the click performance of a link?

Simply ask the agent to `get_link_analytics` and provide the Link ID. It will retrieve the latest click data and statistics directly from BL.INK.

Can I update the destination URL of an existing link?

Yes. Use the `update_link` action with the Link ID and provide the new `long_url`. Your Bitlink will redirect to the new destination immediately.

BL.INK MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: BL.INK
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BL.INK as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to BL.INK. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in BL.INK?"
    )
    print(response)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BL.INK MCP Server

Connect your BL.INK account to any AI agent and orchestrate your enterprise link management and analytics workflows through natural conversation.

LlamaIndex agents combine BL.INK tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Link Shortening — Instantly create branded short links for your marketing campaigns.
Link Management — List, retrieve, update, and delete managed links across your domains.
Domain Oversight — Access and manage your custom branded domains used for link shortening.
Click Analytics — Retrieve real-time click metrics and historical performance for any Bitlink.
Tag Organization — Access and list tags to maintain an organized inventory of your short links.
Account Insights — Retrieve authenticated user profile information directly from your workspace.

The BL.INK MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BL.INK to LlamaIndex via MCP

Follow these steps to integrate the BL.INK MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from BL.INK

Why Use LlamaIndex with the BL.INK MCP Server

LlamaIndex provides unique advantages when paired with BL.INK through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine BL.INK tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BL.INK tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BL.INK, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BL.INK tools were called, what data was returned, and how it influenced the final answer

BL.INK + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the BL.INK MCP Server delivers measurable value.

Hybrid search: combine BL.INK real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BL.INK to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BL.INK for fresh data

Analytical workflows: chain BL.INK queries with LlamaIndex's data connectors to build multi-source analytical reports

BL.INK MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect BL.INK to LlamaIndex via MCP:

delete_link

Delete a link

get_account_info

Get authenticated user account info

get_domain

Get details of a specific domain

get_link

Get details of a specific link

get_link_analytics

Get click analytics for a specific link

list_domains

List all available domains

list_links

List all managed links

list_tags

List all link tags

shorten_link

Shorten a long URL using BL.INK

update_link

Update an existing link

Example Prompts for BL.INK in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with BL.INK immediately.

"Shorten this URL using BL.INK: https://vurb.vinkius.com/llms.txt"

"Show me the analytics for link link_99283."

"List my configured branded domains."

Troubleshooting BL.INK MCP Server with LlamaIndex

Common issues when connecting BL.INK to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BL.INK + LlamaIndex FAQ

Common questions about integrating BL.INK MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BL.INK tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.