Where can I get a Modash API Token?

You can generate your API token in the Modash Developer Dashboard at https://marketer.modash.io/developer.

Does Modash support all social media platforms?

Modash focuses on the big three: Instagram, TikTok, and YouTube.

Are audience insights real-time?

Profile reports use high-quality cached data, while the Raw Data tools provide real-time metrics and posts.

Modash MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Modash
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Modash through Vinkius, pass the Edge URL in the `mcps` parameter and every Modash 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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Modash Specialist",
    goal="Help users interact with Modash effectively",
    backstory=(
        "You are an expert at leveraging Modash 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 Modash "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 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 Modash MCP Server

Connect Modash to your AI agent to discover the perfect creators for your brand. Access a database of 350M+ influencers and get deep audience analytics through natural conversation.

When paired with CrewAI, Modash becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Modash 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

Influencer Search — Find creators based on followers, engagement rate, and location across major platforms.
Audience Analytics — Get detailed reports on audience demographics, location, and authenticity.
Platform Coverage — Seamlessly switch between Instagram, TikTok, and YouTube research.
Dictionary Access — Easily find IDs for locations, interests, and brands to refine your searches.
Real-time Data — Fetch the latest metrics and posts directly from influencer profiles.

The Modash MCP Server exposes 11 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 Modash to CrewAI via MCP

Follow these steps to integrate the Modash 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 11 tools from Modash

Why Use CrewAI with the Modash MCP Server

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

Modash + CrewAI Use Cases

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

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

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

Modash MCP Tools for CrewAI (11)

These 11 tools become available when you connect Modash to CrewAI via MCP:

get_instagram_report

Get deep analytics for an Instagram profile

get_raw_profile

Get real-time, unfiltered profile data

get_tiktok_report

Get analytics for a TikTok profile

get_youtube_report

Get analytics for a YouTube channel

list_brands

Search for brand IDs

list_interests

Search for interest IDs

list_languages

Search for language IDs

list_locations

Search for location IDs

search_instagram

Search for Instagram influencers

search_tiktok

Search for TikTok influencers

search_youtube

Search for YouTube channels

Example Prompts for Modash in CrewAI

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

"Search for Instagram influencers with 50k-100k followers in London."

"Get an audience report for the TikTok user @traveler_vlog."

"List all interest categories available for YouTube search."

Troubleshooting Modash MCP Server with CrewAI

Common issues when connecting Modash 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.

Modash + CrewAI FAQ

Common questions about integrating Modash 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.