Fellow MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fellow as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Fellow. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Fellow?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Fellow tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Fellow MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 12 tools from Fellow
Why Use LlamaIndex with the Fellow MCP Server
LlamaIndex provides unique advantages when paired with Fellow through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fellow tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fellow tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fellow, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Fellow tools were called, what data was returned, and how it influenced the final answer
Fellow + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Fellow MCP Server delivers measurable value.
Hybrid search: combine Fellow real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fellow to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Fellow for fresh data
Analytical workflows: chain Fellow queries with LlamaIndex's data connectors to build multi-source analytical reports
Fellow MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Fellow to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Fellow to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFellow + LlamaIndex FAQ
Common questions about integrating Fellow MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Fellow 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 Fellow to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.