# Fireflies

> Use this tool when you need to analyze and process meeting transcripts using natural language processing. It provides a bridge to the Fireflies.ai API, allowing AI assistants to retrieve, search, and summarize transcripts, and is ideal for generating action items, discussion topic analysis, or creating meeting minutes. The tool is suitable for applications requiring automated meeting content analysis, such as virtual meeting assistants or productivity tools.

Canonical page: https://skillsregistry.net/skills/props-labs-fireflies  
JSON: https://api.skillsregistry.net/v1/skills/props-labs-fireflies

## Description

This MCP server implementation provides a bridge to the Fireflies.ai API, enabling AI assistants to interact with meeting transcripts. Developed by Props Labs, it offers tools for retrieving, searching, and summarizing transcripts. The server is designed for use cases requiring natural language processing of meeting content, such as generating action items, analyzing discussion topics, or creating meeting minutes.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/props-labs-fireflies)
- **Repository:** <https://github.com/props-labs/fireflies-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "props-labs-fireflies"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/props-labs-fireflies` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/props-labs-fireflies/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt