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 CrewAI 10 tools — connect in under 2 minutes

Name: Wistia
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Wistia through the Vinkius — pass the Edge URL in the `mcps` parameter and every Wistia tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wistia Specialist",
    goal="Help users interact with Wistia effectively",
    backstory=(
        "You are an expert at leveraging Wistia tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Wistia "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Wistia becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Wistia tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 10 tools from Wistia

Why Use CrewAI with the Wistia MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Wistia through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Wistia + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Wistia for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Wistia, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Wistia tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Wistia against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Wistia MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Wistia + CrewAI FAQ

Common questions about integrating Wistia MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.