Can I check how many people finished watching a specific video?

Yes. The `get_engagement_statistics` tool provides the average percent watched and other deep engagement metrics for any video, allowing you to analyze audience retention through chat.

How do I upload a video to Wistia if I only have a direct URL?

You can use the `upload_video_via_url` tool. Simply provide the source URL and the target project ID, and Wistia will handle the ingestion and hosting of that video for you.

Is it possible to see the direct download link for my video files?

Absolutely. Using the `get_media_details` tool, your agent can retrieve full technical properties, including the direct URLs for original files and transcoded versions hosted on Wistia's CDN.

Wistia MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Wistia
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wistia through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wistia": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wistia, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Wistia through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Wistia MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Wistia via MCP

Why Use LangChain with the Wistia MCP Server

LangChain provides unique advantages when paired with Wistia through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Wistia MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Wistia queries for multi-turn workflows

Wistia + LangChain Use Cases

Practical scenarios where LangChain combined with the Wistia MCP Server delivers measurable value.

RAG with live data: combine Wistia tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Wistia, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Wistia tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Wistia tool call, measure latency, and optimize your agent's performance

Wistia MCP Tools for LangChain (10)

These 10 tools become available when you connect Wistia to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Wistia to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wistia + LangChain FAQ

Common questions about integrating Wistia MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.