Wistia MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Create Project, Get Account Analytics, Get Project Details, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wistia 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 Wistia app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 9 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 Wistia. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Wistia?"
)
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 Wistia MCP Server
Connect your Wistia video marketing account to any AI agent to automate your media library management and performance monitoring through natural conversation. Wistia provides a premier platform for B2B video hosting, delivery, and detailed engagement tracking.
LlamaIndex agents combine Wistia 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
- Media Orchestration — List and retrieve detailed metadata for your videos (medias), including titles, descriptions, and statuses.
- Project Management — Organize your content by creating and managing hierarchical projects (folders) directly from the AI interface.
- Engagement Analytics — Retrieve real-time performance stats for specific videos or get an aggregated overview of your account-wide metrics.
- Metadata Control — Programmatically update video details and manage captions to ensure your media library is always optimized.
- Asset Delivery — Fetch player configurations and thumbnail URLs to streamline content distribution across your digital channels.
The Wistia 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.
All 9 Wistia tools available for LlamaIndex
When LlamaIndex connects to Wistia through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-marketing, engagement-analytics, 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.
Create a new project
Get account-wide stats
Get metadata for a project
Get metadata for a video
Get video analytics
List your Wistia projects
List captions for a video
List all videos (medias)
Modify video metadata
Connect Wistia to LlamaIndex via MCP
Follow these steps to wire Wistia 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 Wistia MCP Server
LlamaIndex provides unique advantages when paired with Wistia through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Wistia tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Wistia tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Wistia, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Wistia tools were called, what data was returned, and how it influenced the final answer
Wistia + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Wistia MCP Server delivers measurable value.
Hybrid search: combine Wistia real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Wistia 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 Wistia for fresh data
Analytical workflows: chain Wistia queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Wistia in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wistia immediately.
"List all active projects in my Wistia account."
"Show the engagement stats for video ID 'vid123'."
Troubleshooting Wistia MCP Server with LlamaIndex
Common issues when connecting Wistia to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWistia + LlamaIndex FAQ
Common questions about integrating Wistia MCP Server with LlamaIndex.