How do I find my Appbot API credentials?

Log in to your Appbot dashboard, go to your team settings, and navigate to the API section. You can generate an API Key which consists of a Username and a Password.

Can I filter reviews for a specific app version?

Yes, you can use the `list_versions` tool to see detected versions and then use the `list_reviews` tool with the version filter to see feedback for that specific release.

What types of sentiment does Appbot detect?

Appbot classifies reviews into four sentiment categories: positive, negative, neutral, and mixed. You can filter reviews using these categories in the `list_reviews` tool.

Appbot MCP Server for LangChain 10 tools — connect in under 2 minutes

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

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 Appbot MCP Server

The Appbot MCP Server provides deep insights into your app's user feedback. By connecting your Appbot account to your AI agent, you can programmatically retrieve reviews, analyze sentiment trends, and identify key topics from your iOS, Android, and other platform reviews using natural language.

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

Review Retrieval — List and filter reviews by app, sentiment, star rating, or specific keywords.
Sentiment Analysis — Quickly gauge the overall tone of user feedback (positive, negative, neutral, mixed).
Topic Identification — Discover common themes in your reviews with standard and custom topics.
Version Tracking — Monitor feedback for specific app versions to evaluate new releases.
Global Insights — Filter reviews by country and language to understand your global audience.

The Appbot 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 Appbot to LangChain via MCP

Follow these steps to integrate the Appbot 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 Appbot via MCP

Why Use LangChain with the Appbot MCP Server

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

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

Appbot + LangChain Use Cases

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

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

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

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

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

Appbot MCP Tools for LangChain (10)

These 10 tools become available when you connect Appbot to LangChain via MCP:

get_account_info

Retrieve Appbot account details and connection status

get_review_details

Get complete details for a single specific review

get_reviews_by_custom_topic

Retrieve reviews associated with a specific custom topic

list_apps

List all apps tracked by your team in Appbot

list_countries

List countries available for filtering reviews

list_custom_topics

List user-defined custom topics set up in the Appbot dashboard

list_languages

List all languages supported by Appbot for sentiment analysis

list_reviews

Use sentiment, starRating, or keyword filters to narrow down the results. Useful for sentiment analysis and bug reporting. List reviews for a specific app with optional filtering

list_topics

List standard topics identified in app reviews by Appbot AI

list_versions

List app versions detected in the app reviews

Example Prompts for Appbot in LangChain

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

"List all my apps tracked in Appbot."

"Show me the last 10 negative reviews for the iOS app."

"What are the most common topics in recent reviews for my Android app?"

Troubleshooting Appbot MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Appbot + LangChain FAQ

Common questions about integrating Appbot 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.