An MCP server for fireflies
What is Props Labs fireflies mcp
Fireflies MCP Server
MCP Server for the Fireflies.ai API, enabling transcript retrieval, search, and summary generation.
Features
- Transcript Management: Retrieve and search meeting transcripts with filtering options
- Detailed Information: Get comprehensive details about specific transcripts
- Advanced Search: Find transcripts containing specific keywords or phrases
- Summary Generation: Generate concise summaries of meeting transcripts in different formats
Tools
-
fireflies_get_transcripts
- Retrieve a list of meeting transcripts with optional filtering
- Inputs:
limit
(optional number): Maximum number of transcripts to returnfrom_date
(optional string): Start date in ISO format (YYYY-MM-DD)to_date
(optional string): End date in ISO format (YYYY-MM-DD)
- Returns: Array of transcript objects with basic information
-
fireflies_get_transcript_details
- Get detailed information about a specific transcript
- Inputs:
transcript_id
(string): ID of the transcript to retrieve
- Returns: Comprehensive transcript details including speakers, content, and metadata
-
fireflies_search_transcripts
- Search for transcripts containing specific keywords
- Inputs:
query
(string): Search query to find relevant transcriptslimit
(optional number): Maximum number of transcripts to return
- Returns: Array of matching transcript objects
-
fireflies_generate_summary
- Generate a summary of a meeting transcript
- Inputs:
transcript_id
(string): ID of the transcript to summarizeformat
(optional string): Format of the summary ('bullet_points' or 'paragraph')
- Returns: Generated summary text
Setup
Fireflies API Key
Create a Fireflies API Key with appropriate permissions:
- Go to the Fireflies.ai dashboard
- Navigate to Settings > API
- Generate a new API key
- Copy the generated key
Usage with Claude Desktop
To use this with Claude Desktop, add the following to your claude_desktop_config.json
:
{
"mcpServers": {
"fireflies": {
"command": "npx",
"args": [
"-y",
"@props-labs/mcp/fireflies"
],
"env": {
"FIREFLIES_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
Installation
- Clone this repository
- Install dependencies:
npm install
# or
pnpm install
- Build the project:
npm run build
# or
pnpm build
Usage
Starting the Server
FIREFLIES_API_KEY=your_api_key npm start
# or
FIREFLIES_API_KEY=your_api_key pnpm start
You can also use the setup script:
./setup.sh
FIREFLIES_API_KEY=your_api_key npm start
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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