How do I find my Spiritme API Key?

Log in to your account, navigate to **Settings** > **API**, and copy your unique access token from the credentials section.

Can I check the status of a video job via AI?

Yes! The `get_spiritme_job_status` tool allows your agent to poll the high-fidelity real-time status of any generation request.

How do I list my available avatars?

Use the `list_spiritme_avatars` tool to retrieve your complete high-fidelity directory along with the unique identifiers for all managed digital actors.

INSTANT PLUG AND PLAY

Spiritme MCP Server for CrewAIGive CrewAI instant access to 12 tools to Check Spiritme Status, Delete Video, Generate Audio, and more

Name: Spiritme
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Spiritme app connector for CrewAI is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Spiritme Specialist",
    goal="Help users interact with Spiritme effectively",
    backstory=(
        "You are an expert at leveraging Spiritme 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 Spiritme "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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* 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 Spiritme MCP Server

Connect your Spiritme account to any AI agent and take full control of your automated video avatar generation and high-fidelity personalized media workflows through natural conversation.

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

What you can do

Avatar Portfolio Orchestration — List and manage your entire high-fidelity portfolio of digital avatars programmatically, retrieving detailed technical metadata and SKU IDs
Video Generation Intelligence — Programmatically trigger and monitor high-fidelity video generation jobs using custom scripts and voice selections
Asset & Media Architecture — Access your complete directory of high-fidelity hosted video assets to oversee your organizational resource allocation in real-time
Engagement Monitoring — Access real-time status updates for video processing and track generation results directly through your agent for instant reporting
Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling

The Spiritme MCP Server exposes 12 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.

All 12 Spiritme tools available for CrewAI

When CrewAI connects to Spiritme through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-avatars, video-generation, digital-human, 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.

check_spiritme_status

Verify connectivity

delete_video

Delete a video

generate_audio

Generate audio

generate_video

Generate a video

get_avatar

Get avatar details

get_job_status

Get video job status

get_template

Get template details

get_voice

Get voice details

list_avatars

List avatars

list_templates

List templates

list_videos

List videos

list_voices

List voices

Connect Spiritme to CrewAI via MCP

Follow these steps to wire Spiritme into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 12 tools from Spiritme

Why Use CrewAI with the Spiritme MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Spiritme 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 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

Spiritme + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Spiritme 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 Spiritme, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Spiritme 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 Spiritme against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Spiritme in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Spiritme immediately.

"Generate a video with avatar 'av_123' and script: 'Hello, welcome to our team!'."

"Check the status of video job 'job_xyz789'."

"List all active videos in my Spiritme library."

Troubleshooting Spiritme MCP Server with CrewAI

Common issues when connecting Spiritme 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

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

Spiritme + CrewAI FAQ

Common questions about integrating Spiritme 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.