Fireflies.ai MCP Server for VS Code Copilot 12 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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About Fireflies.ai MCP Server
Connect your Fireflies.ai account to any AI agent and unlock the power of meeting intelligence through the Model Context Protocol (MCP). Fireflies.ai automates your meeting notes, transcribes conversations across several platforms, and provides deep analytics to help your team stay aligned. Now, you can query your entire meeting history and manage your transcription bot directly through natural conversation.
GitHub Copilot Agent mode brings Fireflies.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
What you can do
- Transcript Retrieval — List recent meetings and fetch detailed summaries, action items, and keywords from any transcript.
- AskFred Integration — Leverage Fireflies' AI assistant (AskFred) to ask questions about your meetings or start new analysis threads.
- Live Bot Control — Invite the Fireflies bot to ongoing meetings (Zoom, Google Meet, etc.) by simply providing the meeting URL.
- Conversation Analytics — Access aggregate metrics like talk-to-listen ratios and words-per-minute to improve team communication.
- User & Team Management — List team members and fetch user-specific meeting metadata.
- Transcript Management — Rename transcripts or delete them to keep your meeting database organized and up to date.
- Real-time Monitoring — See which meetings are currently being recorded and transcribed in real-time.
The Fireflies.ai MCP Server exposes 12 tools through the Vinkius. Connect it to VS Code Copilot 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 Fireflies.ai to VS Code Copilot via MCP
Follow these steps to integrate the Fireflies.ai MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using Fireflies.ai
Ask Copilot: "Using Fireflies.ai, help me..." — 12 tools available
Why Use VS Code Copilot with the Fireflies.ai MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Fireflies.ai through the Model Context Protocol.
VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Fireflies.ai + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Fireflies.ai MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Fireflies.ai MCP Tools for VS Code Copilot (12)
These 12 tools become available when you connect Fireflies.ai to VS Code Copilot via MCP:
add_to_live_meeting
Invite Fireflies to a live meeting
create_ask_fred_thread
Ask a question to AskFred
delete_transcript
Delete a transcript
get_analytics
Get meeting analytics
get_ask_fred_thread
Get AskFred thread messages
get_transcript
Get transcript details
get_user
Get user details
list_active_meetings
List meetings currently being recorded
list_ask_fred_threads
List AskFred threads
list_transcripts
List recent transcripts
list_users
List team users
update_meeting_title
Rename a meeting
Example Prompts for Fireflies.ai in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with Fireflies.ai immediately.
"List my 5 most recent meeting transcripts."
"Invite Fireflies to join my current meeting at https://zoom.us/j/123456789"
"Show me the action items from meeting ID 'trans_987'."
Troubleshooting Fireflies.ai MCP Server with VS Code Copilot
Common issues when connecting Fireflies.ai to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
Fireflies.ai + VS Code Copilot FAQ
Common questions about integrating Fireflies.ai MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Connect Fireflies.ai 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Fireflies.ai to VS Code Copilot
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
