How to Use the Keepcon MCP in LlamaIndex

Q: Can I search profiles using Keepcon and LlamaIndex together?

Absolutely. Use searchprofiles to fetch the data and then index the results into your vector store for semantic queries.

Build RAG applications in LlamaIndex that index and search live Keepcon moderation data.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Keepcon MCP to LlamaIndex

Create your Vinkius account to connect Keepcon to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Keepcon with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index Keepcon data in LlamaIndex

Use `search_profiles` and `list_profiles` to pull user data directly into your knowledge base. Your LlamaIndex application turns this API output into queryable vectors. This makes your past moderation decisions searchable. You can ask your system about previous user flags and get grounded answers based on actual API data.

Ground your RAG pipeline with MCP Server tools

Your agent uses `get_profile_by_social_id` to fetch live data during a query. It doesn't rely on stale documents; it pulls the real profile state in real-time. This ensures your LlamaIndex agent is always looking at the latest moderation status. It's the difference between guessing and knowing.

Automate moderation decisions with LlamaIndex

Register tools like `moderate_content` within your tool spec. Your agent calls these to verify content before the RAG pipeline processes the final response. It adds a layer of validation to your knowledge retrieval. You can ensure only approved content reaches your user-facing summaries.

Setup guide

Set up Keepcon MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Keepcon MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Keepcon tools.",
)
response = await agent.run("List recent Keepcon data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Keepcon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Keepcon now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Keepcon MCP in LlamaIndex

Install llama-index-tools-mcp and use the McpToolSpec class. This converts the server tools into a format your LlamaIndex agent can run.

Absolutely. Use `search_profiles` to fetch the data and then index the results into your vector store for semantic queries.

Yes, the tools are designed to return structured data that you can easily pipe into a vector index. It works natively with standard tool specs.

You only need an endpoint token for the Vinkius session. The MCP server handles the underlying API requests to your platform securely.

Your profile data stays within your controlled environment. The server acts as a transient transport layer and does not cache or persist your sensitive identifiers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript