How to Use the MediaSilo MCP in LlamaIndex

Q: Can I query MediaSilo projects using LlamaIndex?

Absolutely. Once connected, your agent uses listprojects to understand your workspace hierarchy and retrieve information about specific folders.

Q: Does this MediaSilo server support semantic search?

The searchassets tool provides the search functionality. You can integrate this into your LlamaIndex pipeline to find files by term.

Index your MediaSilo assets directly into LlamaIndex to build an AI that knows your library.

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Connect MediaSilo MCP to LlamaIndex

Create your Vinkius account to connect MediaSilo 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.

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Setup MediaSilo with LlamaIndex

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Semantic search over MediaSilo in LlamaIndex

Transform your project lists into a searchable vector index. By feeding `list_projects` output into your RAG pipeline, you make your library queryable. Your agent stops guessing and starts answering based on the actual state of your workspace. It's about grounding AI responses in real data.

Ground AI answers with MediaSilo data

Use `get_asset` to pull precise details when your agent needs context. The tool output becomes part of the knowledge base LlamaIndex builds. This prevents the usual hallucination issues. The AI references the exact metadata retrieved from your account, not general knowledge.

Connect MediaSilo to your LlamaIndex agent

Map the MCP server tools to your agent's execution layer using the tool spec. This gives your agent the ability to pull live library data on demand. It makes the agent a functional part of your post-production team. It can check for assets or projects whenever the conversation requires it.

Setup guide

Set up MediaSilo 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 MediaSilo 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 MediaSilo tools.",
)
response = await agent.run("List recent MediaSilo data")

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Common questions about MediaSilo MCP in LlamaIndex

The MCP tools fetch the metadata from your account. LlamaIndex then processes these results into vector embeddings for semantic retrieval.

Absolutely. Once connected, your agent uses `list_projects` to understand your workspace hierarchy and retrieve information about specific folders.

The `search_assets` tool provides the search functionality. You can integrate this into your LlamaIndex pipeline to find files by term.

Re-run your tool-based data ingestion. Since the server provides live access, your index stays as current as your last API request.

The server transmits your asset titles and metadata over encrypted channels. We follow strict access controls, ensuring only your agent views your library content.

Use it with your favorite AI tools

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

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