Fellow MCP Server for CrewAI 12 tools — connect in under 2 minutes
Connect your CrewAI agents to Fellow through Vinkius, pass the Edge URL in the `mcps` parameter and every Fellow 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="Fellow Specialist",
goal="Help users interact with Fellow effectively",
backstory=(
"You are an expert at leveraging Fellow 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 Fellow "
"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)
* 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 Fellow MCP Server
Connect your Fellow.app account to any AI agent and take full control of your meeting management, collaborative agendas, and action item tracking through natural conversation.
When paired with CrewAI, Fellow becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Fellow 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
- Meeting Note Orchestration — List all meeting notes and retrieve full structured content including agenda items, discussion points, and decision metadata natively
- Action Item Auditing — List and filter all tasks across meetings to track descriptions, assignees, and due dates for cross-meeting accountability flawlessly
- Recording Management — Browse meeting recordings and retrieve video/audio details including time-limited download or stream URLs securely
- AI Transcription Retrieval — Fetch full transcripts with speaker attribution and timestamps to review critical discussions or extract specific insights limitlessly
- Task Lifecycle Control — Mark action items as complete or archive them to manage your active workspace and notify relevant stakeholders synchronously
- Identity Oversight — Retrieve the authenticated profile identity including name, email, and workspace contexts to verify permission limits natively
- Data Invalidation — Irreversibly vaporize specific meeting notes or recordings findable by ID to manage your organizational records strictly
The Fellow 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.
How to Connect Fellow to CrewAI via MCP
Follow these steps to integrate the Fellow 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 12 tools from Fellow
Why Use CrewAI with the Fellow MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Fellow 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
Fellow + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Fellow MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Fellow 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 Fellow, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Fellow 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 Fellow against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Fellow MCP Tools for CrewAI (12)
These 12 tools become available when you connect Fellow to CrewAI via MCP:
archive_action_item
Archive an action item, removing it from active views without deleting it
complete_action_item
Use when a task has been finished. Mark an action item as complete
delete_note
Confirm with the user before executing — this cannot be undone. Permanently delete a meeting note by ID
delete_recording
Confirm with the user before executing. Permanently delete a meeting recording by ID
get_action_item
Use to inspect a single task. Retrieve details of a specific action item by ID
get_current_user
Use to verify which account is connected. Retrieve the authenticated Fellow user profile
get_note
Essential for reviewing a specific meeting. Retrieve the full content and metadata of a specific meeting note by ID
get_recording
Use to access a specific recording. Retrieve details of a specific meeting recording
get_transcript
Use for detailed review, compliance documentation, or extracting specific discussion points. Retrieve the full transcript of a meeting recording
list_action_items
Use for cross-meeting task tracking and accountability. List all action items across all meetings
list_notes
Use as the primary entry point to browse all meeting documentation. List all meeting notes in the Fellow workspace
list_recordings
Use to browse all recorded meetings. List all meeting recordings captured by Fellow
Example Prompts for Fellow in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Fellow immediately.
"Show me all my pending action items"
"Get the notes for the meeting 'Product Sync' from last Tuesday"
"List the last 3 meeting recordings"
Troubleshooting Fellow MCP Server with CrewAI
Common issues when connecting Fellow 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
Fellow + CrewAI FAQ
Common questions about integrating Fellow 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 Fellow 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 Fellow to CrewAI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.