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Ayrshare MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Ayrshare 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({
        "ayrshare": {
            "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 Ayrshare, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Ayrshare
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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 Ayrshare MCP Server

Empower your AI agent to orchestrate your entire social media presence with Ayrshare, the powerful automation engine for modern brands. By connecting Ayrshare to your agent, you transform complex multi-platform publishing into a natural conversation. Your agent can instantly publish posts across Twitter, Facebook, Instagram, and LinkedIn, schedule content for optimal reach, audit engagement analytics, and even manage multiple user profiles without you ever opening a browser tab. Whether you're a content creator or a social media manager, your agent acts as a direct bridge to your social networks, ensuring your brand stays active and data-driven.

LangChain's ecosystem of 500+ components combines seamlessly with Ayrshare through native MCP adapters. Connect 12 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

  • Multi-Platform Publishing — Publish posts immediately to multiple social networks including text and media attachments via natural language.
  • Content Scheduling — Schedule future posts with precision timestamps or manage auto-schedule queues for consistent presence.
  • Engagement Analytics — Retrieve detailed engagement metrics for specific posts or get high-level social profile analytics.
  • Profile Management — Create, list, and manage different user profiles to organize content across various brands or clients.
  • History Auditing — Audit your post history to track statuses (Success, Pending, Error) and verify delivery across all channels.

The Ayrshare MCP Server exposes 12 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 Ayrshare to LangChain via MCP

Follow these steps to integrate the Ayrshare 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 12 tools from Ayrshare via MCP

Why Use LangChain with the Ayrshare MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Ayrshare 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 Ayrshare queries for multi-turn workflows

Ayrshare + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Ayrshare MCP Tools for LangChain (12)

These 12 tools become available when you connect Ayrshare to LangChain via MCP:

01

create_post

Publish a post immediately to social media platforms

02

create_profile

Create a new user profile

03

delete_auto_schedule

Delete auto-schedule for a platform

04

delete_profile

Delete a user profile

05

get_account_check

Verify Ayrshare connection

06

get_post_analytics

Get engagement statistics for a specific post

07

get_social_analytics

Get profile-level analytics for a specific social network

08

list_auto_schedules

List all auto-schedule settings

09

list_history

List history of posts

10

list_profiles

List all user profiles

11

schedule_post

Schedule a post for a future date

12

set_auto_schedule

Set auto-schedule times for a platform

Example Prompts for Ayrshare in LangChain

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

01

"Publish 'Hello World!' to Twitter and Facebook immediately."

02

"Schedule a post for next Monday at 10 AM: 'Join our webinar!' with the image https://example.com/webinar.png"

03

"Show me the analytics for my last Instagram post."

Troubleshooting Ayrshare MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ayrshare + LangChain FAQ

Common questions about integrating Ayrshare 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 Ayrshare to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.