Appbot MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Appbot as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Appbot. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Appbot?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Appbot tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Appbot MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Appbot
Why Use LlamaIndex with the Appbot MCP Server
LlamaIndex provides unique advantages when paired with Appbot through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Appbot tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Appbot tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Appbot, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Appbot tools were called, what data was returned, and how it influenced the final answer
Appbot + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Appbot MCP Server delivers measurable value.
Hybrid search: combine Appbot real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Appbot to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Appbot for fresh data
Analytical workflows: chain Appbot queries with LlamaIndex's data connectors to build multi-source analytical reports
Appbot MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Appbot to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Appbot to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAppbot + LlamaIndex FAQ
Common questions about integrating Appbot MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Appbot with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Appbot to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.