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

Built by Vinkius GDPR 10 Tools Framework

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

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({
        "blink": {
            "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 BL.INK, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
BL.INK
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 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.

LangChain's ecosystem of 500+ components combines seamlessly with BL.INK 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 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 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 BL.INK to LangChain via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from BL.INK via MCP

Why Use LangChain with the BL.INK MCP Server

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

01

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

02

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

03

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

04

Memory and conversation persistence let agents maintain context across BL.INK queries for multi-turn workflows

BL.INK + LangChain Use Cases

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

01

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

02

Autonomous research agents: LangChain agents query BL.INK, synthesize findings, and generate comprehensive research reports

03

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

04

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

BL.INK MCP Tools for LangChain (10)

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

01

delete_link

Delete a link

02

get_account_info

Get authenticated user account info

03

get_domain

Get details of a specific domain

04

get_link

Get details of a specific link

05

get_link_analytics

Get click analytics for a specific link

06

list_domains

List all available domains

07

list_links

List all managed links

08

list_tags

List all link tags

09

shorten_link

Shorten a long URL using BL.INK

10

update_link

Update an existing link

Example Prompts for BL.INK in LangChain

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

01

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

02

"Show me the analytics for link link_99283."

03

"List my configured branded domains."

Troubleshooting BL.INK MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BL.INK + LangChain FAQ

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

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect BL.INK to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.