3,400+ MCP servers ready to use
Vinkius

Outseta MCP Server for LangChainGive LangChain instant access to 12 tools to Create Person, Create Ticket, Get Account, and more

Built by Vinkius GDPR 12 Tools Framework

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

Ask AI about this App Connector for LangChain

The Outseta app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

Connect your Outseta account to any AI agent and take full control of your all-in-one SaaS orchestration through natural conversation. Outseta provides a unified platform for CRM, subscription billing, email marketing, and help desk, and this integration allows you to retrieve customer metadata, manage invoices, and respond to support tickets directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Outseta 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

  • CRM & Audience Orchestration — List all managed people and company accounts programmatically to ensure your customer database is always synchronized.
  • Billing & Subscription Management — Access and monitor active subscriptions and retrieve detailed invoice metadata directly from the AI interface to track revenue health.
  • Support & Help Desk Control — List and create support tickets via natural language to drive better customer satisfaction and faster response times.
  • Plan & Activity Intelligence — Access your subscription plans and monitor account activities using simple AI commands to maintain a clear overview of your business growth.
  • Operational Monitoring — Track system responses and manage user profile metadata to ensure your SaaS workflows are always optimized.

The Outseta 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.

All 12 Outseta tools available for LangChain

When LangChain connects to Outseta through Vinkius, your AI agent gets direct access to every tool listed below — spanning outseta, saas-api, billing-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_person

Provide email and optionally name. Create a new person in the CRM

create_ticket

Create a new support ticket

get_account

Get details of a specific account

get_person

Get details of a specific person

get_user_profile

Get current user profile

list_accounts

List all accounts (companies)

list_activities

List recent activities

list_invoices

List all billing invoices

list_people

List all people (contacts/leads)

list_plans

List all billing plans

list_subscriptions

List all billing subscriptions

list_tickets

List all support tickets

Connect Outseta to LangChain via MCP

Follow these steps to wire Outseta into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Outseta via MCP

Why Use LangChain with the Outseta MCP Server

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

01

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

Outseta + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Outseta in LangChain

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

01

"List all active people in my Outseta CRM."

02

"Show me all subscribers whose billing failed this month and their plan details."

03

"Create a new trial account for contact sarah@meridian.io on the Pro plan."

Troubleshooting Outseta MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Outseta + LangChain FAQ

Common questions about integrating Outseta 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.