Fireflies.ai

Fireflies.ai

Official

Official Fireflies remote MCP — query meeting transcripts, AI summaries, and action items via OAuth or API key.

Score 54(?)Fireflies.aiProprietaryVerified Top MCPs for Meetings & Notes

Quick answer

What it does

Surfaces Fireflies meeting transcripts, AI-generated summaries, action items, and search across past calls as MCP tools. Hosted by Fireflies; OAuth or API-key authenticated.

Best for

  • Cross-meeting topic search
  • AI summaries on demand
  • Pulling action items into other tools
  • Sales call recall

Not for

  • Live in-call assistance
  • Teams not on Fireflies

Setup recipe

Pick your client, then follow the three steps.

  1. 1

    Install

    claude_desktop_config.json
    {
      "mcpServers": {
        "fireflies": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://api.fireflies.ai/mcp",
            "--header",
            "\"Authorization:",
            "Bearer",
            "YOUR_FIREFLIES_API_KEY\""
          ],
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    Paste under mcpServers. Fully quit and reopen Claude after editing.

    CLI or .mcp.json
    # export FIREFLIES_API_KEY=your_fireflies_api_key
    claude mcp add fireflies -- npx mcp-remote https://api.fireflies.ai/mcp --header "Authorization: Bearer YOUR_FIREFLIES_API_KEY"

    Run from your repo. Commit .mcp.json to share with your team.

    .cursor/mcp.json
    {
      "mcpServers": {
        "fireflies": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://api.fireflies.ai/mcp",
            "--header",
            "\"Authorization:",
            "Bearer",
            "YOUR_FIREFLIES_API_KEY\""
          ],
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    Global path: ~/.cursor/mcp.json. Reload window after editing.

    .vscode/mcp.json
    {
      "servers": {
        "fireflies": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://api.fireflies.ai/mcp",
            "--header",
            "\"Authorization:",
            "Bearer",
            "YOUR_FIREFLIES_API_KEY\""
          ],
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    VS Code uses the "servers" key (not "mcpServers").

    ~/.codeium/windsurf/mcp_config.json
    {
      "mcpServers": {
        "fireflies": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://api.fireflies.ai/mcp",
            "--header",
            "\"Authorization:",
            "Bearer",
            "YOUR_FIREFLIES_API_KEY\""
          ],
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    Open via Cascade → hammer icon → Configure.

    cline_mcp_settings.json
    {
      "mcpServers": {
        "fireflies": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://api.fireflies.ai/mcp",
            "--header",
            "\"Authorization:",
            "Bearer",
            "YOUR_FIREFLIES_API_KEY\""
          ],
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    Open via the Cline sidebar → MCP Servers → Edit.

    ~/.continue/config.json
    {
      "experimental": {
        "modelContextProtocolServers": [
          {
            "transport": {
              "type": "stdio",
              "command": "npx",
              "args": [
                "mcp-remote",
                "https://api.fireflies.ai/mcp",
                "--header",
                "\"Authorization:",
                "Bearer",
                "YOUR_FIREFLIES_API_KEY\""
              ],
              "env": {
                "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
              }
            }
          }
        ]
      }
    }

    Continue uses modelContextProtocolServers with a transport block.

    ~/.codex/config.toml
    # ~/.codex/config.toml
    [mcp_servers.fireflies]
    command = "npx"
    args = [
      "mcp-remote",
      "https://api.fireflies.ai/mcp",
      "--header",
      "\"Authorization:",
      "Bearer",
      "YOUR_FIREFLIES_API_KEY\"",
    ]
    env = { FIREFLIES_API_KEY = "${FIREFLIES_API_KEY}" }

    Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.

    ~/.config/zed/settings.json
    {
      "context_servers": {
        "fireflies": {
          "command": {
            "path": "npx",
            "args": [
              "mcp-remote",
              "https://api.fireflies.ai/mcp",
              "--header",
              "\"Authorization:",
              "Bearer",
              "YOUR_FIREFLIES_API_KEY\""
            ]
          },
          "env": {
            "FIREFLIES_API_KEY": "${FIREFLIES_API_KEY}"
          }
        }
      }
    }

    Zed calls them "context_servers". Settings live-reload on save.

    ChatGPT → Settings → Connectors (remote URL)
    {
      "name": "Fireflies.ai",
      "transport": "http",
      "url": "https://api.fireflies.ai/mcp"
    }

    Paste this into Settings → Connectors → Add custom connector. Requires ChatGPT Pro / Team / Enterprise / Edu with Developer mode enabled. ChatGPT supports remote HTTPS MCP servers only — stdio servers must be hosted on a public HTTPS endpoint first.

  2. 2

    Set required secrets

    Set FIREFLIES_API_KEY in your shell environment before launching your MCP client.

  3. 3

    Try a minimum working prompt

    Pull every customer call where pricing came up

    Using the Fireflies connector, find every customer call from the last 30 days where pricing or budget came up. For each, give me the meeting title, the date, and a two-sentence summary of the pricing discussion.

    Tested with: Claude Desktop, Cursor.

Tools & permissions

Tools list pending verification. The server exposes tools over MCP; we haven’t yet parsed its capability manifest into this page. Check the GitHub repo for the authoritative list.

Security & scope

Access scope
Read-only
Sandbox
Hosted by Fireflies. OAuth or Bearer-token scoped to the connecting user. No local recording or file access.
Gotchas
  • API keys grant access to every meeting the user can see — rotate if a developer with a personal key leaves the team.
  • Workspace admins can disable third-party API access globally; if calls return 401, check workspace settings before debugging the client.

Agent prompt pack

— copy into Claude, Cursor, or ChatGPT.
Paste into Claude, Cursor, or ChatGPT. Edit the [brackets] before sending.
Recommend the best MCP servers for [task: e.g. meetings & notes work] in [client: Claude].

Constraints:
- Prefer tools that are [official | open-source | read-only] — pick what matters for my use case.
- Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport].
- Return at most 3 picks, ranked.

For each pick include:
1. One-sentence rationale.
2. The ready-to-paste install snippet for my client.
3. Any required secrets I need to create before installing.

Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-meeting-notes
Compare Fireflies.ai against a real alternative. Swap the second MCP in [brackets] if you want a different match.
Compare Fireflies.ai MCP vs [Fellow MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"].

Judge them on:
- Setup time and complexity (what a new user hits first).
- Auth model (none / API key / OAuth 2.1) and credential risk.
- Transport (stdio / Streamable HTTP / SSE) and where the server runs.
- Required secrets and the blast radius if they leak.
- Operational risk in an unattended agent loop.
- Which one is "good enough" for a weekend prototype vs. production.

End with one sentence: which should I pick for my scenario, which is: [my scenario].

References:
- https://top-mcps.com/mcp/fireflies
- top-mcps.com listing for Fellow
Asks the agent to install and verify. Works inside Claude Code, Cursor Agent, Codex CLI.
Install the Fireflies.ai MCP server for my [client: Claude] at the default config path for that client.

Use the exact install snippet published at https://top-mcps.com/mcp/fireflies (fetch https://top-mcps.com/mcp/fireflies.json for the canonical server.json if you can read URLs).

Before finishing:
1. Create the required secrets (FIREFLIES_API_KEY) and put them in the appropriate env block — do not hard-code them.
2. Restart or reload the client so it picks up the new server.
3. Verify the server is connected (green / running state) and at least one tool is listed.
4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry.

Confirm when done and list the tools the server now exposes.

Frequently asked questions

What changed

2 updates tracked.
  1. Refreshed install snippets and fact sheet; verified for 2026.

  2. Initial directory listing.

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Compared with Fireflies.ai

Side-by-side breakdowns for the choices people most often weigh against this MCP.

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