Repuso MCP Server for LlamaIndexGive LlamaIndex instant access to 14 tools to Bulk Create Invite Requests, Create Invite Request, Create Subaccount, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Repuso as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Repuso app connector for LlamaIndex is a standout in the Customer Support category — giving your AI agent 14 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Repuso. "
"You have 14 tools available."
),
)
response = await agent.run(
"What tools are available in Repuso?"
)
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 Repuso MCP Server
What you can do
- List and manage customer reviews and feedback.
- Send review invite requests to customers seamlessly.
- Manage sub accounts and users across your Repuso dashboard.
LlamaIndex agents combine Repuso tool responses with indexed documents for comprehensive, grounded answers. Connect 14 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 Repuso MCP Server exposes 14 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.
All 14 Repuso tools available for LlamaIndex
When LlamaIndex connects to Repuso through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-reviews, feedback-collection, social-proof, 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.
Bulk create invite requests
Create a new invite request
Create a new sub account
Delete an invite request
Delete a sub account
Get a specific invite request
Get a specific review by ID
Get a specific sub account
Get a specific user
List invite requests in Repuso
List reviews from Repuso
List Repuso sub accounts
List users in Repuso
Update a sub account
Connect Repuso to LlamaIndex via MCP
Follow these steps to wire Repuso into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Repuso MCP Server
LlamaIndex provides unique advantages when paired with Repuso through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Repuso tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Repuso tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Repuso, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Repuso tools were called, what data was returned, and how it influenced the final answer
Repuso + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Repuso MCP Server delivers measurable value.
Hybrid search: combine Repuso real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Repuso 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 Repuso for fresh data
Analytical workflows: chain Repuso queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Repuso in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Repuso immediately.
"List the latest 10 reviews from my Repuso account."
"Send a review invite request to john@example.com."
"List all sub accounts managed under my Repuso profile."
Troubleshooting Repuso MCP Server with LlamaIndex
Common issues when connecting Repuso to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRepuso + LlamaIndex FAQ
Common questions about integrating Repuso MCP Server with LlamaIndex.