AppTweak MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AppTweak 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 AppTweak. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in AppTweak?"
)
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 AppTweak MCP Server
Connect your AppTweak account to your AI agent to unlock enterprise-grade App Store Optimization (ASO) directly from your chat workflow. Skip the heavy dashboards and ask your agent to fetch keyword intelligence, track competitor movements, and monitor your app's reviews in real time.
LlamaIndex agents combine AppTweak tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- App Intelligence — Retrieve full app metadata, category histories, and estimated downloads privately across iOS and Android stores
- Keyword Strategy — Request smart keyword suggestions, analyze search volumes, and track exact ranking positions for any given keyword
- Review Sentiment — Fetch direct user reviews and analyze aggregated sentiment to identify trending feature requests or emerging bugs
- Market Analysis — Pull the "Top Charts" of any category to identify leading apps and emerging market competitors instantly
The AppTweak MCP Server exposes 9 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 AppTweak to LlamaIndex via MCP
Follow these steps to integrate the AppTweak 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 9 tools from AppTweak
Why Use LlamaIndex with the AppTweak MCP Server
LlamaIndex provides unique advantages when paired with AppTweak through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AppTweak tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AppTweak tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AppTweak, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AppTweak tools were called, what data was returned, and how it influenced the final answer
AppTweak + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AppTweak MCP Server delivers measurable value.
Hybrid search: combine AppTweak real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AppTweak 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 AppTweak for fresh data
Analytical workflows: chain AppTweak queries with LlamaIndex's data connectors to build multi-source analytical reports
AppTweak MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect AppTweak to LlamaIndex via MCP:
get_app_metadata
Provide either the Apple App Store numeric ID or the Google Play Store package name. Identifies core app properties and performance indicators. Get complete app metadata from AppTweak including title, developer, rating, reviews, category, and version
get_app_reviews
Valuable for sentiment analysis, feature requests, and bug reports from actual users. Get app reviews from users via AppTweak
get_category_rankings
Helps diagnose the impact of feature updates or acquisition campaigns. Get app category ranking history from AppTweak
get_download_estimates
Essential for competitor analysis. Get estimated download numbers for an app from AppTweak
get_keyword_rankings
Get keyword rankings for an app on AppTweak (position, volume, KEI)
get_keyword_suggestions
Crucial for optimizing organic search visibility on App Store and Google Play. Get ASO keyword suggestions for an app on AppTweak
get_keyword_volume
Useful to find "sweet spot" keywords with high volume and low difficulty. Get search volume and difficulty for a specific AppTweak keyword
get_review_stats
Good for high-level app health. Get review statistics from AppTweak (rating distribution, sentiment)
get_top_charts
Get top charts for a category via AppTweak (top free/paid/grossing apps)
Example Prompts for AppTweak in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AppTweak immediately.
"Get the general App Store metadata for Spotify (ID: 324684580)."
"Find 5 good keyword suggestions for a 'Habit Tracker' app and get their volume and difficulty."
"Can you summarize the sentiment of the last 20 Google Play reviews for Tinder?"
Troubleshooting AppTweak MCP Server with LlamaIndex
Common issues when connecting AppTweak to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAppTweak + LlamaIndex FAQ
Common questions about integrating AppTweak 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 AppTweak 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 AppTweak to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.