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 LangChain 10 tools — connect in under 2 minutes

Name: Bitly
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Bitly through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "bitly": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Bitly, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Bitly through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Bitly MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Bitly via MCP

Why Use LangChain with the Bitly MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Bitly MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Bitly queries for multi-turn workflows

Bitly + LangChain Use Cases

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

RAG with live data: combine Bitly tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Bitly, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Bitly tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Bitly tool call, measure latency, and optimize your agent's performance

Bitly MCP Tools for LangChain (10)

These 10 tools become available when you connect Bitly to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Bitly + LangChain FAQ

Common questions about integrating Bitly MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.