Cloutly MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cloutly 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 Cloutly. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Cloutly?"
)
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 Cloutly MCP Server
Cloutly is an all-in-one review management platform that helps businesses collect, manage, and respond to reviews from multiple sources. It aggregates data from Google, Facebook, Trustpilot, and more into one easy location. Use this MCP server to fetch recent reviews, deploy personalized reputation invitations to customers, and respond programmatically all through a single AI assistant.
LlamaIndex agents combine Cloutly tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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.
The Cloutly MCP Server exposes 7 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 Cloutly to LlamaIndex via MCP
Follow these steps to integrate the Cloutly 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 7 tools from Cloutly
Why Use LlamaIndex with the Cloutly MCP Server
LlamaIndex provides unique advantages when paired with Cloutly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Cloutly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Cloutly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Cloutly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Cloutly tools were called, what data was returned, and how it influenced the final answer
Cloutly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Cloutly MCP Server delivers measurable value.
Hybrid search: combine Cloutly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Cloutly 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 Cloutly for fresh data
Analytical workflows: chain Cloutly queries with LlamaIndex's data connectors to build multi-source analytical reports
Cloutly MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Cloutly to LlamaIndex via MCP:
list_businesses
Retrieve all businesses/locations associated with your Cloutly account
list_campaigns
Retrieve active review campaigns for a specific business
list_pending_reviews
Retrieve reviews that have not been replied to yet
list_reviews
Supports filtering by business and pagination. Retrieve a list of reviews across connected sources
reply_to_review
The reply is posted to the source platform. Post a reply to a review on its original platform
search_reviews_by_author
Search for reviews from a specific customer by name
send_review_invite
Trigger a review request for a customer via Email or SMS
Example Prompts for Cloutly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Cloutly immediately.
"Show me the latest reviews aggregated targeting our main branch in Cloutly."
"Send a priority review invitation email to John Doe (john.doe@example.com) for business ID 'xxxx'."
"List all outstanding negative reviews that haven't been replied to in Cloutly."
Troubleshooting Cloutly MCP Server with LlamaIndex
Common issues when connecting Cloutly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCloutly + LlamaIndex FAQ
Common questions about integrating Cloutly 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 Cloutly 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 Cloutly to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.