Wistia MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Wistia as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Wistia. "
"You have 10 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 account to any AI agent and take control of your video marketing infrastructure through natural conversation.
LlamaIndex agents combine Wistia tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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 Management — List all video and audio assets in your account, including their durations, play counts, and direct asset URLs
- Project Organization — Create, browse, and manage folders (projects) to keep your media library organized across teams
- Engagement Insights — Retrieve detailed play rates, average percent watched, and viewer statistics directly from your agent
- Metadata Control — Update video titles and descriptions or permanently delete obsolete assets and all their derivatives
- Remote Ingestion — Trigger Wistia to download and host video content from any public URL into a specific project
- Deep Discovery — Quickly find unique hashed IDs for medias and projects required for automated marketing workflows
- Asset Auditing — Browse organizational containers and retrieve technical metadata for high-quality content delivery
The Wistia MCP Server exposes 10 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 Wistia to LlamaIndex via MCP
Follow these steps to integrate the Wistia 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 10 tools from Wistia
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
Wistia MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Wistia to LlamaIndex via MCP:
create_new_project
Provide a descriptive name. Creates a new project to organize media
delete_media_asset
This action is irreversible. Permanently deletes a Wistia media asset and all its derivatives
delete_wistia_project
Note: All videos in the project will be lost. This is irreversible. Permanently deletes a Wistia project and all media contained within it
get_engagement_statistics
Retrieves detailed engagement and viewer statistics for a video
get_media_details
Retrieves comprehensive metadata for a specific Wistia media asset
get_project_details
Retrieves details for a specific Wistia project, including all contained media
list_wistia_medias
Lists all media assets (videos, audios) in the Wistia account
list_wistia_projects
Lists all projects (folders) in the Wistia account
update_media_metadata
Provide the hashed ID and a JSON object of attributes. Updates the metadata (name, description) of a specific Wistia media
upload_video_via_url
Provide the source URL, target project ID, and a name. Triggers Wistia to download and host a video from a public URL
Example Prompts for Wistia in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Wistia immediately.
"List all my videos in Wistia."
"What are the engagement stats for the video with ID 'abc123def'?"
"Upload the video from 'https://example.com/promo.mp4' to my 'Campaigns' project."
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.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Wistia 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 Wistia to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.