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Fireflies MCP Server for Claude

Extract valuable insights from meeting transcripts and summaries

HarnessClaude CodeCodexCursorClaude Desktop

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Source URLs
https://guide.fireflies.ai/articles/8272956938-learn-about-the-fireflies-mcp-server-model-context-protocol, https://github.com/JSONbored/awesome-claude/blob/main/content/mcp/fireflies-mcp-server.mdx
Brand
Fireflies
Brand domain
fireflies.ai
Brand asset source
brandfetch
Package URL
/downloads/mcp/fireflies-mcp-server.mcpb
Package SHA256
21b16bcef6c23c95d81241c4937bf0c89f4582fb57748f12da8da13a01ba7038
Safety notes
Connect only meetings and workspaces intended for AI review, especially when transcripts include customers or internal discussions.
Privacy notes
Meeting transcripts, summaries, speaker names, attendee metadata, and conversation details may be sent through model context.
Author
Fireflies
Claim status
unclaimed
Last verified
2025-09-18

Decision playbook

Ready to evaluate for your workflow

Signals are comparatively strong, but you should still validate source, privacy posture, and package provenance for your environment.

Compare context
Selected

0

Current score

96

Baseline

Delta

No baseline selected

No major trust-signal divergence detected in the current selection.

Source and provenance checks

Complete

Confirm ownership and provenance before trusting install instructions.

  • Source link availableRequired

    Open the canonical repository and verify ownership.

    Done
  • Source provenance statusRequired

    Marked as first-party.

    Done
  • Metadata reviewed

    Registry metadata indicates a reviewed listing.

    Done

Safety and privacy checks

Complete

Validate risk disclosures before installation or API wiring.

  • Safety notes presentRequired

    Review the listed safety guidance before running commands.

    Done
  • Privacy notes presentRequired

    Review data handling notes before connecting accounts or secrets.

    Done
  • Trust level risk gateRequired

    Trust level does not block evaluation.

    Done

Package and install checks

Complete

Check package metadata and artifact integrity signals.

  • Install payload available

    Install or copy payload is available for review.

    Done
  • Package verification flag

    Package marked verified.

    Done
  • Checksum metadata

    SHA-256 hash is present.

    Done

Compare-driven decision checks

Needs review

Use compare context to validate trade-offs before adoption.

  • Compare tray has multiple entries

    Add at least one more entry to compare trust differences.

    Pending
  • Baseline comparison available

    No baseline peer selected yet.

    Pending
  • Diverging trust signals identified

    No major trust-signal divergence found.

    Pending

Setup at a glance

Package install

Copy-ready — paste the snippet to get started.

2 minutes

Install command

Provided

Config snippet

Provided

Copy snippet

Provided

Prerequisites

10 to clear

Platforms

4 listed

Difficulty

0/100

Adoption plan

Balanced adoption plan

Current risk score 0/100. Use staged verification before broader rollout.

Risk 0

Pre-adoption checks

Validate source and review signals before any execution.

  • Confirm source provenanceRequired

    Source URL/provenance metadata is present.

    Done
  • Confirm metadata review state

    Listing has review metadata.

    Done
  • Verify install payload

    Install/config payload exists and can be inspected.

    Done

Security checks

Confirm safety, privacy, and package integrity signals.

  • Review safety notesRequired

    Safety notes are present.

    Done
  • Review privacy notesRequired

    Privacy notes are present.

    Done
  • Verify package integrity metadata

    Package verification/checksum metadata is available.

    Done

Rollout

Adopt in controlled steps based on the selected plan.

  • Run in isolated sandbox firstRequired

    Use a constrained sandbox and observe behavior across multiple tasks.

    Pending
  • Roll out graduallyRequired

    Roll out to a small cohort before wider usage.

    Pending
  • Set monitoring and fallback

    Define rollback path and monitor errors after adoption.

    Pending

Evidence readiness

Evidence readiness matrix · balanced

Required evidence gates are covered (6/6 signals complete).

Risk 0

Source provenance

Present

Source repository/provenance is listed.

Required in this preset

Metadata review

Present

Review metadata is present.

Required in this preset

Safety notes

Present

Safety notes are present.

Required in this preset

Privacy notes

Present

Privacy notes are present.

Optional in this preset

Package integrity

Present

Package integrity metadata is present.

Optional in this preset

Install payload

Present

Install payload is available.

Required in this preset

Required evidence gates are covered for this preset.

Decision timeline

Decision timeline · balanced

6/6 steps complete with no blocking gaps for this preset.

Risk 0

triage

Confirm source provenanceRequired

Source/provenance metadata is available.

Done

triage

Check metadata review statusRequired

Review metadata is available.

Done

verify

Review safety notesRequired

Safety notes are available.

Done

verify

Review privacy notes

Privacy notes are available.

Done

verify

Validate package integrity metadata

Package integrity metadata is available.

Done

rollout

Verify install payload and commandsRequired

Install payload is available.

Done

No required blockers for this timeline preset.

Prerequisite readiness

Prerequisite readiness

10 prerequisites to line up before setup. Have accounts and credentials ready first.

0/10 ready
Account & credentials5Configuration1Network & hosting2General22 minutes

Safety & privacy surface

Safety & privacy surface

1 safety and 1 privacy notes across 1 risk area.

1 area
  • SafetyExecution & processesConnect only meetings and workspaces intended for AI review, especially when transcripts include customers or internal discussions.
  • PrivacyExecution & processesMeeting transcripts, summaries, speaker names, attendee metadata, and conversation details may be sent through model context.

Safety notes

  • Connect only meetings and workspaces intended for AI review, especially when transcripts include customers or internal discussions.

Privacy notes

  • Meeting transcripts, summaries, speaker names, attendee metadata, and conversation details may be sent through model context.

Prerequisites

  • Fireflies.ai account (sign up at https://fireflies.ai if needed)
  • Fireflies API key (obtain from Fireflies settings/API section)
  • OAuth authentication support (for workspace access)
  • HTTP transport support (remote MCP server at https://api.fireflies.ai/mcp)
  • Claude Desktop 0.7.0+ or Claude Code with MCP support
  • Internet connection (remote API access required)
  • Understanding of rate limits (Free/Pro: 50 requests/day, Business/Enterprise: 60 requests/minute)
  • Workspace permissions (viewer or higher role for accessing meetings in Fireflies workspace)
  • Understanding of meeting privacy settings (meetings must allow API access)
  • Understanding of Fireflies workspace structure and meeting organization

Schema details

Install type
package
Reading time
1 min
Difficulty score
0
Troubleshooting
Yes
Breaking changes
No
Package metadata
Package verified
Yes
SHA-256
21b16bcef6c23c95d81241c4937bf0c89f4582fb57748f12da8da13a01ba7038
Collection metadata
Estimated setup
2 minutes
Difficulty
beginner
Full copyable content
{
  "fireflies": {
    "url": "https://api.fireflies.ai/mcp",
    "transport": "http"
  }
}

About this resource

Content

Unlock the power of your meeting data by connecting Claude to Fireflies.ai's meeting intelligence platform. Automatically extract action items, search conversation history, analyze speaker participation, and generate comprehensive meeting summaries through natural language commands, transforming how you capture and act on meeting insights.

Features

  • Access meeting transcripts and recordings
  • Retrieve automated meeting summaries
  • Search conversation content
  • Extract action items and decisions
  • Analyze speaker analytics and participation
  • Advanced Fireflies meeting transcription and analysis with AI-powered insights, action item extraction, and meeting summary generation
  • Batch operations support for efficient bulk meeting processing, transcript analysis, and data export with automatic rate limit handling and retry logic
  • Real-time meeting synchronization capabilities with webhook integration support for monitoring new meetings and triggering automated workflows

Use Cases

  • Review meeting outcomes and decisions
  • Extract action items for follow-up
  • Search past discussions by topic
  • Generate meeting reports for stakeholders
  • Track speaker participation metrics
  • Build automated meeting management workflows that sync external systems with Fireflies for real-time meeting transcription and analysis

Installation

Claude Code

  1. claude mcp add --transport http fireflies https://api.fireflies.ai/mcp
  2. Add your Fireflies API key to the configuration (Authorization header with Bearer token)
  3. Verify installation: claude mcp list
  4. Test connection: claude mcp status fireflies

Claude Desktop

  1. Open your Claude Desktop configuration file (see configPath below)
  2. Add the Fireflies server configuration with HTTP transport and your API key
  3. Restart Claude Desktop
  4. Authenticate with your Fireflies account (API key should be in Authorization header)

Requirements

  • Fireflies.ai account (sign up at https://fireflies.ai if needed)
  • Fireflies API key (obtain from Fireflies settings/API section)
  • OAuth authentication support (for workspace access)
  • HTTP transport support (remote MCP server at https://api.fireflies.ai/mcp)
  • Claude Desktop 0.7.0+ or Claude Code with MCP support
  • Internet connection (remote API access required)
  • Understanding of rate limits (Free/Pro: 50 requests/day, Business/Enterprise: 60 requests/minute)
  • Workspace permissions (viewer or higher role for accessing meetings in Fireflies workspace)
  • Understanding of meeting privacy settings (meetings must allow API access)
  • Understanding of Fireflies workspace structure and meeting organization

Configuration

{
  "fireflies": {
    "url": "https://api.fireflies.ai/mcp",
    "transport": "http"
  }
}

Examples

Get action items from today's standup

Common usage pattern for this MCP server

Ask Claude: "Get action items from today's standup"

Search for discussions about Q4 planning

Common usage pattern for this MCP server

Ask Claude: "Search for discussions about Q4 planning"

Generate summary of customer call

Common usage pattern for this MCP server

Ask Claude: "Generate summary of customer call"

Find all mentions of budget in recent meetings

Common usage pattern for this MCP server

Ask Claude: "Find all mentions of budget in recent meetings"

Get Meeting Transcript

Retrieve a meeting transcript with speaker identification

// Get Fireflies meeting transcript
const transcript = await fireflies.transcripts.get({
  meeting_id: "meeting-id",
  format: "text",
  include_speakers: true,
});

Security

  • OAuth authentication for workspace access
  • Respect meeting privacy settings
  • Control transcript access permissions
  • Regular data audits recommended
  • Fireflies API keys and access tokens must be securely stored and never exposed in client-side code or public repositories - use environment variables and secure credential management
  • Fireflies OAuth access tokens should be used for third-party integrations to ensure proper access control, token lifecycle management, and automatic token refresh
  • Fireflies meeting IDs and transcript data may contain sensitive business information and personal conversations - ensure Fireflies resource identifiers are kept private and not shared in public configurations
  • Rate limiting and API quota management are critical for Fireflies MCP servers - implement proper rate limit handling, retry logic, and quota monitoring to prevent service disruption
  • Fireflies webhook configurations and payloads may contain sensitive meeting transcripts and participant information - ensure webhook endpoints are properly secured with authentication and HTTPS encryption

Troubleshooting

Too many requests error with code 429

Free/Pro plans: 50 requests/day limit. Business/Enterprise: 60 requests/minute. Check retryAfter timestamp in error response. Wait specified time before retry or upgrade plan for higher limits.

Invalid API key or authentication failed error

Add Authorization header with Bearer YOUR_API_KEY format. Verify API key hasn't expired in Fireflies settings. Check for typos and regenerate key if authentication continues to fail.

Cannot access meeting transcripts or recordings

Verify workspace permissions grant access to meetings. Check meeting privacy settings allow API access. Ensure your account has viewer or higher role for target meetings in Fireflies workspace.

Transcripts incomplete or missing sections

Check audio quality of original recording. Verify storage limits haven't been exceeded for your plan tier. Review transcript settings for language and accuracy preferences in Fireflies workspace.

Fireflies MCP server authentication errors with API keys

Verify API key is valid and not expired. Check API key permissions match required operations. Ensure API key format is correct (Bearer token in Authorization header). For OAuth integrations, verify token refresh logic is working correctly.

Fireflies rate limit errors when processing multiple meetings

Implement exponential backoff retry logic with jitter. Use Fireflies API rate limit headers to monitor usage. Reduce concurrent requests. Cache frequently accessed meeting data. Fireflies allows 100 requests per minute per API key.

Fireflies meeting or transcript access denied errors

Verify API key has access to the meeting. Check meeting permissions and account membership. Ensure API key has required permissions (read transcripts, read meetings) for target operations.

Fireflies MCP server connection timeouts or network errors

Check network connectivity and firewall settings. Verify Fireflies API endpoints are accessible. Increase request timeout values. Implement connection pooling and retry mechanisms with exponential backoff.

Source citations

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Listed on HeyClaude
[![Listed on HeyClaude](https://heyclau.de/badge/mcp/fireflies-mcp-server.svg)](https://heyclau.de/entry/mcp/fireflies-mcp-server)

How it compares

Fireflies MCP Server for Claude side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

3 trust signals differ across this comparison (Package trust, Source provenance, Submitter).

Field

Extract valuable insights from meeting transcripts and summaries

Open dossier

MCP server for Vexa meeting bots, real-time transcripts, recordings, meeting chat, bot speech, calendar workflows, webhooks, and self-hosted meeting APIs.

Open dossier

Read docs, update pages, and manage tasks in Notion workspaces

Open dossier

Read and write records, manage bases and tables in Airtable directly from Claude

Open dossier
Next steps
Trust
Review statusReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewedReviewedMaintainer reviewed
Package trustDiffersPackage verifiedPackage not verifiedPackage verifiedPackage verified
Source provenanceDiffersSource-backedSource-backedNo submission linkNo submission link
SubmitterDiffersoktofeesh1
Install riskLow riskReview firstLow riskLow risk
Notes Safety Privacy Safety Privacy Safety Privacy Safety Privacy
BrandFireflies logoFirefliesVexa logoVexaNotion logoNotionAirtable logoAirtable
Categorymcpmcpmcpmcp
Sourcefirst-partysource-backedfirst-partyfirst-party
AuthorFirefliesVexa AINotiondomdomegg
Added2025-09-182026-06-052025-09-182025-09-18
Platforms
Claude CodeCodexCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo
Safety notesConnect only meetings and workspaces intended for AI review, especially when transcripts include customers or internal discussions.Vexa MCP can request bots to join meetings, stop bots, parse meeting links, read transcripts, manage recordings, create transcript share links, send and read meeting chat, make the bot speak, share screen content, update bot config, connect calendars, and configure webhooks. Meeting URLs, IDs, passcodes, bot names, platform names, participant data, recordings, transcript share links, and API keys require careful handling. Public transcript share links and recording download URLs should be short-lived and shared only with approved recipients. Interactive bot tools can visibly act in live meetings; require human approval before using chat, speech, or screen-sharing tools. The service README includes a DoD table that marks several MCP checks as untested, so validate the exact deployment path before production use.Share only intended Notion pages or databases and review writes that alter docs, tasks, or workspace records.Restrict the Airtable API key to the bases and write scopes Claude is allowed to use before enabling record or schema changes.
Privacy notesMeeting transcripts, summaries, speaker names, attendee metadata, and conversation details may be sent through model context.Audio, transcripts, speaker labels, meeting metadata, chat messages, recordings, screenshots, participant names, calendar events, webhook payloads, meeting notes, API keys, and tool results may be visible to the MCP client and model provider. Hosted Vexa sends meeting data to Vexa-operated infrastructure; self-hosted deployments still may use hosted transcription tokens unless fully self-hosting transcription. Browser bot sessions can persist authenticated browser state through storage such as S3-compatible backends. Logs, databases, object storage, share links, webhook receivers, and AI prompts can retain sensitive meeting content after a call ends.Page contents, database rows, comments, attachments, user names, and workspace metadata may be sent through model context.Airtable records, field values, attachments, and base metadata may be sent through the MCP client and model context.
Prerequisites
  • Fireflies.ai account (sign up at https://fireflies.ai if needed)
  • Fireflies API key (obtain from Fireflies settings/API section)
  • OAuth authentication support (for workspace access)
  • HTTP transport support (remote MCP server at https://api.fireflies.ai/mcp)
  • Node.js and npx available for the `mcp-remote` client bridge.
  • Vexa API key for hosted Vexa or an approved self-hosted Vexa deployment.
  • Meeting organizer permission and participant consent before joining, recording, transcribing, chatting, speaking, or screen-sharing through a bot.
  • Platform policy review for Google Meet, Microsoft Teams, and Zoom bot participation.
  • Notion workspace account (not Guest workspace - Guest workspaces don't support integrations)
  • OAuth 2.0 integration (create public integration in Notion with client ID and client secret)
  • HTTP transport support (remote MCP server at https://mcp.notion.com/mcp)
  • Internet connection (remote Notion API access required)
  • Node.js 18+ installed for running npx commands and MCP server packages
  • Airtable Personal Access Token (PAT) from https://airtable.com/account
  • Required API scopes: data.records:read (minimum), data.records:write (for updates), schema.bases:read (for schema operations)
  • Base ID for the Airtable base you want to access (starts with 'app' prefix)
Install
claude mcp list && claude mcp status fireflies
git clone https://github.com/Vexa-ai/vexa.git && cd vexa && make lite
claude mcp list && claude mcp status notion
claude mcp add airtable --env AIRTABLE_API_KEY=YOUR_KEY -- npx -y airtable-mcp-server && claude mcp list
Config
{
  "mcpServers": {
    "fireflies": {
      "url": "https://api.fireflies.ai/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "vexa": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "VEXA_MCP_ENDPOINT_URL",
        "--header",
        "Authorization: Bearer ${VEXA_API_KEY}"
      ],
      "env": {
        "VEXA_API_KEY": "${VEXA_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "notion": {
      "url": "https://mcp.notion.com/mcp",
      "type": "http"
    }
  }
}
{
  "mcpServers": {
    "airtable": {
      "env": {
        "AIRTABLE_API_KEY": "${AIRTABLE_API_KEY}"
      },
      "args": [
        "-y",
        "airtable-mcp-server"
      ],
      "command": "npx",
      "type": "stdio"
    }
  }
}
Citations
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