Oktopost MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Oktopost through Vinkius, pass the Edge URL in the `mcps` parameter and every Oktopost tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Oktopost Specialist",
goal="Help users interact with Oktopost effectively",
backstory=(
"You are an expert at leveraging Oktopost 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 Oktopost "
"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)
* 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 Oktopost MCP Server
Connect your Oktopost account to your AI agent and streamline your B2B social media marketing and lead generation through natural conversation.
When paired with CrewAI, Oktopost becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Oktopost 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
- Campaign Management — List all active and archived social media campaigns and retrieve detailed settings.
- Profile Oversight — Access metadata and connection statuses for all your linked social profiles (LinkedIn, Twitter, Facebook, etc.).
- Post Monitoring — List scheduled and sent social media messages across all campaigns and check their content.
- Lead & Contact Tracking — Retrieve a list of leads and contacts identified through social media engagement.
- Analytics Reporting — Fetch aggregated performance reports for specific metrics like clicks and shares.
- Conversion Tracking — Monitor successful goal completions and conversions attributed to your social activities.
- Deep Inspection — Fetch complete metadata for specific campaigns, messages, or social profiles using their unique IDs.
The Oktopost 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 Oktopost to CrewAI via MCP
Follow these steps to integrate the Oktopost 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 Oktopost
Why Use CrewAI with the Oktopost MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Oktopost 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
Oktopost + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Oktopost MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Oktopost 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 Oktopost, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Oktopost 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 Oktopost against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Oktopost MCP Tools for CrewAI (10)
These 10 tools become available when you connect Oktopost to CrewAI via MCP:
get_analytics_report
Get social analytics report
get_campaign_details
Get specific campaign info
get_message_details
Get specific message details
get_social_profile_details
Get specific profile info
list_campaigns
List social media campaigns
list_oktopost_tags
List organization tags
list_social_contacts
List social leads and contacts
list_social_conversions
List social-driven conversions
list_social_messages
List scheduled and sent messages
list_social_profiles
) connected to the account. List connected social profiles
Example Prompts for Oktopost in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Oktopost immediately.
"List all my active social media campaigns."
"What is the click engagement for the 'Summer Promo' campaign?"
"Show me the latest leads identified from LinkedIn."
Troubleshooting Oktopost MCP Server with CrewAI
Common issues when connecting Oktopost to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Oktopost + CrewAI FAQ
Common questions about integrating Oktopost MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Oktopost with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Oktopost to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.