Can my agent send formatted messages using FlockML?

Yes. Use the 'chat_send_message' tool and provide your XML string in the 'flockml' parameter. The agent will bypass standard Markdown limits to render rich enterprise attachments and layouts natively in Flock.

How do I list all members of a specific private group via chat?

Use the 'groups_list_members' tool. Provide the Group UUID. Your agent will surface the explicitly mapped profiles within that group, helping you verify sensitive message targets securely.

Can I search for a user's UUID using their '@' alias through the agent?

Absolutely. The 'roster_list_directory' tool discovers global identity blocks mapping direct aliases to absolute string UUIDs, ensuring you can route messages accurately to anyone in your company.

Flock MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Flock
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Flock through Vinkius, pass the Edge URL in the `mcps` parameter and every Flock 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="Flock Specialist",
    goal="Help users interact with Flock effectively",
    backstory=(
        "You are an expert at leveraging Flock 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 Flock "
        "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)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Flock MCP Server

Connect your Flock bot to any AI agent and take full control of your team communication, private groups, and organizational roster through natural conversation.

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

Rich Messaging Orchestration — Provision massively fast payloads strictly into Flock chats, utilizing ` to render rich enterprise attachments and formatted layouts natively


Public Channel Discovery — Enumerate explicitly attached public channels and execute bulk iterations to capture global namespaces and routing configurations synchronously
Private Group Management — Identify bounded private groups and retrieve precise physical definitions detailing exactly how hidden groups operate within your enterprise

Organizational Roster Auditing — Discovers global identity blocks mapping direct @` aliases to absolute string UUIDs to solve accurate routing for the entire company
Identity Metadata Retrieval — Perform structural extraction of profile metadata linked to Flock users, resolving time zones and LDAP/SSO properties securely
Chat Log Ingestion — Pull chronological asynchronous logs from any room, extracting raw JSON objects mapping historical strings natively from chat fetchers
Membership Oversight — Audit IAM boundaries and identify explicit active UUIDs directly attached to channels or groups to verify intended audiences flawlessly

The Flock 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 Flock to CrewAI via MCP

Follow these steps to integrate the Flock 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 Flock

Why Use CrewAI with the Flock MCP Server

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

Flock + CrewAI Use Cases

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

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

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

Flock MCP Tools for CrewAI (10)

These 10 tools become available when you connect Flock to CrewAI via MCP:

channels_get_info

Retrieve explicit Channel descriptions and banner logic mappings

channels_list_members

Identify explicit Active UUIDs directly attached evaluating Channel ingress

channels_list_public

Enumerate explicitly attached `public` channels active within Flock

chat_fetch_messages

Extracts raw JSON objects mapping historical strings natively returned by `chat.fetchMessages`. Read recent structural Chat payloads targeting a Flock Room

chat_send_message

Detects if formatted `<flockml>` definitions are passed and converts the payload dynamically bypassing standard Markdown limits rendering rich enterprise attachments. Provision a massively fast payload strictly into an established Flock Chat

groups_get_info

Inspect deep internal credentials identifying a precise Private Group

groups_list_members

Crucial for verifying sensitive message targets. Audit IAM boundaries explicitly granting read permissions to a Group

groups_list_private

Returns arrays necessary to retrieve correct routing UUIDs. Identify bounded Private Groups tracking strict IAM boundaries

roster_list_directory

Returns explicit array definitions mapping direct `@` aliases to absolute string UUIDs solving accurate routing natively. Identify precise active Human constraints navigating the entire Flock company

users_get_metadata

Perform structural extraction of metadata linked to a Flock Identity

Example Prompts for Flock in CrewAI

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

"Send a message to group 'g:123': 'Project update is live!'"

"List all public channels in my Flock workspace"

"Get the metadata for user '@john_doe'"

Troubleshooting Flock MCP Server with CrewAI

Common issues when connecting Flock 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.

Flock + CrewAI FAQ

Common questions about integrating Flock 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.