Keepcon MCP Server for CrewAI 9 tools — connect in under 2 minutes
Connect your CrewAI agents to Keepcon through Vinkius, pass the Edge URL in the `mcps` parameter and every Keepcon 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="Keepcon Specialist",
goal="Help users interact with Keepcon effectively",
backstory=(
"You are an expert at leveraging Keepcon 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 Keepcon "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 9 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 Keepcon MCP Server
Empower your AI agents to moderate user-generated content using Keepcon. This MCP server enables seamless integration with Keepcon's semantic moderation engine for both real-time and batch processing.
When paired with CrewAI, Keepcon becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Keepcon 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
- Real-time Moderation — Submit text for immediate moderation decisions (approve/reject) and category tagging
- Batch Processing — Import large volumes of content for asynchronous moderation and retrieve results in bulk
- Result Management — Export pending moderation decisions and acknowledge processed results to maintain a clean queue
- Feedback Loop — Submit feedback on moderation decisions to improve the accuracy of the semantic engine
- Profile Insight — List and query user profiles associated with moderated content
The Keepcon MCP Server exposes 9 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 Keepcon to CrewAI via MCP
Follow these steps to integrate the Keepcon 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 9 tools from Keepcon
Why Use CrewAI with the Keepcon MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Keepcon 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
Keepcon + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Keepcon MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Keepcon 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 Keepcon, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Keepcon 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 Keepcon against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Keepcon MCP Tools for CrewAI (9)
These 9 tools become available when you connect Keepcon to CrewAI via MCP:
acknowledge_results
Acknowledge receipt of results
export_results
Retrieve batch moderation results
get_profile
Get a specific user profile by Keepcon ID
get_profile_by_social_id
g., twitter, facebook) and the network-specific user ID. Get a user profile by social network ID
import_batch
Returns an import ID. Submit content for batch moderation
list_profiles
List user profiles
moderate_content
Returns the decision (approve/reject) and tags. Moderates content in real-time
search_profiles
Search profiles with filters
submit_feedback
g., false positives) to improve the semantic engine. Submit moderation feedback
Example Prompts for Keepcon in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Keepcon immediately.
"Moderate this text in the 'forum' context: 'This user is being very aggressive!'"
"Export pending moderation results for the 'chat' context."
"List all user profiles in my Keepcon account."
Troubleshooting Keepcon MCP Server with CrewAI
Common issues when connecting Keepcon 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
Keepcon + CrewAI FAQ
Common questions about integrating Keepcon 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 Keepcon with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Keepcon to CrewAI
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.