Can I check how many people clicked my link today?

Yes! Use the `get_link_clicks` tool with your Bitlink. Your agent will fetch the total click summary directly from the Bitly engine.

How do I see which countries my clicks are coming from?

Simply ask the agent to `get_clicks_by_country` for a specific Bitlink. It will return a breakdown of traffic by geographic origin.

Does the integration allow me to delete a Bitlink?

Bitlinks cannot be truly deleted via the standard API; they can only be archived or hidden. Currently, the toolset focuses on creation and monitoring (shortening links, checking metrics).

Bitly MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Bitly
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 Bitly 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 Bitly. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Bitly?"
    )
    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 Bitly MCP Server

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

LlamaIndex agents combine Bitly 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 shorten long URLs into branded or generic Bitlinks.
Click Analytics — Retrieve real-time click counts and historical performance for any link.
Geographic Insights — Analyze where your traffic is coming from with clicks-by-country metrics.
Referrer Tracking — Identify which networks and sites are driving traffic to your links.
Group Oversight — Manage your organization's groups and retrieve aggregated click data.
Tag Discovery — Access and list tags used across your Bitlink inventory for better organization.

The Bitly 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 Bitly to LlamaIndex via MCP

Follow these steps to integrate the Bitly 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 Bitly

Why Use LlamaIndex with the Bitly MCP Server

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

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

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

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

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

Bitly + LlamaIndex Use Cases

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

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

Data enrichment: query Bitly 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 Bitly for fresh data

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

Bitly MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Bitly to LlamaIndex via MCP:

create_qr_code

Generate a QR code for a link

get_bitlink

Get link details

get_clicks

Get click analytics for a link

get_countries

Get click analytics by country

get_referrers

Get referrer analytics

get_user

Get account info

list_bitlinks

List links in a group

list_groups

List all Bitly groups

shorten_url

Optionally set custom domain and title. Shorten a URL

update_bitlink

Update link title

Example Prompts for Bitly in LlamaIndex

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

"Shorten this URL: https://vurb.vinkius.com/docs/intro"

"Show me the click summary for bit.ly/3VurbDocs."

"List my Bitly groups."

Troubleshooting Bitly MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Bitly + LlamaIndex FAQ

Common questions about integrating Bitly 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.