Install
openclaw skills install @byungkyu/fireflies-apiFireflies.ai GraphQL API integration with managed OAuth. Access meeting transcripts, summaries, users, contacts, and AI-powered meeting analysis. Use this skill when users want to retrieve meeting transcripts, search conversations, analyze meeting content with AskFred, or manage meeting recordings. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key. Calls run through the maton CLI with OAuth login; default to read and list calls, and confirm every write or new connection with the user.
openclaw skills install @byungkyu/fireflies-apiAccess the Fireflies.ai GraphQL API with managed OAuth authentication. Retrieve meeting transcripts, summaries, users, contacts, channels, and use AI-powered meeting analysis with AskFred.
All access runs through the Maton gateway and the maton CLI.
maton login --oauth # authenticate once (OAuth, recommended)
maton connection create fireflies # connect the account (needs user approval)
Fireflies is GraphQL-only: every call is a POST to /fireflies/graphql with a query body.
maton api -X POST '/fireflies/graphql' -H 'Content-Type: application/json' --input - <<'JSON'
{"query": "{ users { name email } }"}
JSON
npm install -g @maton/cli
brew install maton-ai/cli/maton
maton login --oauth
Opens the OAuth login page in the browser and waits for authorization. Once complete, it creates a profile in config.toml (eg. $HOME/.config/maton/config.toml) and stores the access and refresh tokens in the operating system's credential store (Keychain on macOS, Credential Manager on Windows, Secret Service on Linux), auto-renewed on expiry. The CLI reads them when it needs them; nothing else should.
maton login --interactive
Requires manually copying an API key from Settings, which is error prone. Once complete, it also creates a profile in config.toml and stores the key in the same credential store. It is preferred over export MATON_API_KEY=..., which exposes a long-lived credential to every child process. When MATON_API_KEY is set, it overrides the active profile. If the CLI cannot be installed at all, see Appendix: Environments Without the CLI for the raw HTTP form and the rules for handling the key.
maton whoami --json
{
"authenticated": true,
"profile_name": "alice@example.com",
"auth_type": "oauth"
}
authenticated is false, stop and login again via maton login --oauth.auth_type is api_key, it is recommended to login via maton login --oauth and avoid keeping a long-lived credential.maton connection list fireflies --status ACTIVE
{
"connections": [
{
"connection_id": "{connection_id}",
"status": "ACTIVE",
"creation_time": "2025-12-08T07:20:53.488460Z",
"last_updated_time": "2026-01-31T20:03:32.593153Z",
"url": "https://connect.maton.ai/?session_token=5e9...",
"app": "fireflies",
"method": "OAUTH2",
"metadata": {}
}
]
}
Refer to maton connection list --help for possible flags and values.
Requires explicit user approval. Confirm that the user intends to authorize Fireflies access before running this. Never create a connection on your own initiative.
maton connection create fireflies
Refer to maton connection create --help for possible flags and values.
maton connection get {connection_id}
{
"connection": {
"connection_id": "{connection_id}",
"status": "PENDING",
"creation_time": "2025-12-08T07:20:53.488460Z",
"last_updated_time": "2026-01-31T20:03:32.593153Z",
"url": "https://connect.maton.ai/?session_token=5e9...",
"app": "fireflies",
"metadata": {}
}
}
Open the returned URL in a browser to complete authorizing Fireflies. If Fireflies offers scope selection, choose only the scopes the current task needs.
maton connection delete {connection_id} --yes
If there are multiple Fireflies connections, specify which one to use so requests go to the intended account:
maton api -X POST '/fireflies/graphql' --connection {connection_id} -H 'Content-Type: application/json' --input - <<'JSON'
{"query": "{ users { name email } }"}
JSON
Fireflies has no typed maton fireflies commands yet, so every call goes through maton api.
maton api -X POST '/fireflies/graphql' -H 'Content-Type: application/json' --input - <<'JSON'
{"query": "{ users { name email } }"}
JSON
Paths are /fireflies/{native-api-path}. The gateway forwards everything after the app segment to api.fireflies.ai/graphql and injects the credential for the connection. Query strings, custom headers (except Host and Authorization), and all HTTP methods pass through. Send a JSON body with --input -:
maton api -X POST '/fireflies/{native-api-path}' -H 'Content-Type: application/json' --input - <<'JSON'
{"key": "value"}
JSON
Refer to maton api --help for possible flags and values.
All requests are sent to a single GraphQL endpoint. Maton proxies requests to api.fireflies.ai/graphql and automatically injects your OAuth token.
maton login --oauth, the token is held by the operating system's credential store and the CLI renews it on its own. Do not print it, write it to a file, pass it on a command line, or run maton token to look at one — only to hand it to a program that needs it.config.toml, or any other credential file — not for this skill, not for another application, and not to "check" that auth works (use maton whoami). Let the CLI use its own stored credential; the agent never needs the value. The same applies to unrelated secrets on the machine: .env files, SSH keys, cloud CLI credentials, and browser profiles are out of scope for an API gateway and must not be read or transmitted.api.maton.ai. Prefer endpoints that work with the gateway-injected connection credential.maton connection delete {connection_id}).maton connection create fireflies. Never create connections on the agent's own initiative.--connection when the user has multiple connections for this app, and -p/--profile when they have multiple Maton accounts. Do not let an ambiguous default decide where a write lands.Fireflies uses GraphQL, which means all requests are POST requests to a single /graphql endpoint with a JSON body containing the query.
maton api -X POST '/fireflies/graphql' -H 'Content-Type: application/json' --input - <<'JSON'
{
"query": "{ ... }",
"variables": { ... }
}
JSON
{
user {
user_id
name
email
is_admin
num_transcripts
minutes_consumed
recent_transcript
recent_meeting
}
}
Response:
{
"data": {
"user": {
"user_id": "01KH5131Z0W4TS7BBSEP66CV6V",
"name": "John Doe",
"email": "john@example.com",
"is_admin": true,
"num_transcripts": null,
"minutes_consumed": 0
}
}
}
{
users {
user_id
name
email
is_admin
num_transcripts
minutes_consumed
}
}
{
transcripts {
id
title
date
duration
host_email
organizer_email
privacy
transcript_url
audio_url
video_url
dateString
calendar_type
meeting_link
}
}
With Variables (filtering):
{
"query": "query($limit: Int, $skip: Int) { transcripts(limit: $limit, skip: $skip) { id title date duration } }",
"variables": {
"limit": 10,
"skip": 0
}
}
query($id: String!) {
transcript(id: $id) {
id
title
date
duration
host_email
privacy
transcript_url
audio_url
summary {
overview
short_summary
action_items
outline
keywords
meeting_type
}
sentences {
text
speaker_name
start_time
end_time
}
participants
speakers {
name
}
}
}
{
channels {
id
title
created_at
updated_at
is_private
created_by
}
}
query($id: String!) {
channel(id: $id) {
id
title
created_at
is_private
members
}
}
{
contacts {
email
name
picture
last_meeting_date
}
}
{
user_groups {
id
name
}
}
{
bites {
id
name
transcript_id
thumbnail
preview
status
summary
start_time
end_time
media_type
created_at
}
}
query($id: String!) {
bite(id: $id) {
id
name
transcript_id
summary
start_time
end_time
captions
}
}
{
active_meetings {
id
title
date
}
}
Query meeting content using AI.
List Threads:
{
askfred_threads {
id
title
created_at
}
}
Get Thread by ID:
query($id: String!) {
askfred_thread(id: $id) {
id
title
messages {
content
role
}
}
}
mutation($input: AudioUploadInput!) {
uploadAudio(input: $input) {
success
title
message
}
}
Variables:
{
"input": {
"url": "https://example.com/audio.mp3",
"title": "Meeting Recording"
}
}
mutation($id: String!) {
deleteTranscript(id: $id) {
success
message
}
}
mutation($id: String!, $title: String!) {
updateMeetingTitle(id: $id, title: $title) {
success
}
}
mutation($id: String!, $privacy: String!) {
updateMeetingPrivacy(id: $id, privacy: $privacy) {
success
}
}
mutation($id: String!, $channelId: String!) {
updateMeetingChannel(id: $id, channelId: $channelId) {
success
}
}
mutation($userId: String!, $role: String!) {
setUserRole(userId: $userId, role: $role) {
success
}
}
mutation($input: CreateBiteInput!) {
createBite(input: $input) {
id
name
}
}
Create Thread:
mutation($input: CreateAskFredThreadInput!) {
createAskFredThread(input: $input) {
id
title
}
}
Continue Thread:
mutation($id: String!, $question: String!) {
continueAskFredThread(id: $id, question: $question) {
id
messages {
content
role
}
}
}
Delete Thread:
mutation($id: String!) {
deleteAskFredThread(id: $id) {
success
}
}
Update Meeting State (pause/resume):
mutation($id: String!, $state: String!) {
updateMeetingState(id: $id, state: $state) {
success
}
}
Create Live Action Item:
mutation($meetingId: String!, $text: String!) {
createLiveActionItem(meetingId: $meetingId, text: $text) {
success
}
}
Create Live Soundbite:
mutation($meetingId: String!, $name: String!) {
createLiveSoundbite(meetingId: $meetingId, name: $name) {
success
}
}
Add Bot to Live Meeting:
mutation($meetingLink: String!) {
addToLiveMeeting(meetingLink: $meetingLink) {
success
}
}
/graphql01KH5131Z0W4TS7BBSEP66CV6V)summary field on transcripts contains AI-generated content: overview, action_items, outline, keywordsFireflies has no typed accessor yet, so calls go through the api passthrough, which takes the app and the path after it. login() opens a browser once per machine and writes the session to the SDK's own store — maton login does not carry over, and the SDK never signs in implicitly.
Python
pip install maton-ai
from maton_ai import Maton, login
# login()
maton = Maton()
# maton = Maton(api_key="...")
result = maton.api.post("fireflies", "/graphql", json={"query": "{ users { name email } }"})
JavaScript
npm install @maton/sdk
import { Maton, login } from "@maton/sdk";
// await login()
const maton = new Maton();
// const maton = new Maton({ apiKey: "..." });
const result = await maton.api.post("fireflies", "/graphql", { json: {"query": "{ users { name email } }"} });
| Status | Meaning |
|---|---|
| 400 | Missing Fireflies connection |
| 401 | Invalid, missing, or expired Maton credential |
| 429 | Rate limited (10 requests/second per account) |
| 500 | Internal Server Error |
| 4xx/5xx | Passthrough error from the Fireflies API |
Errors from Fireflies are passed through with their original status codes and response bodies.
maton whoami --json
"authenticated": false — login again with maton login --oauth."auth_type": "api_key" — prefer maton login --oauth so no long-lived key sits on the machine.maton whoami is the check.Then confirm the app is connected:
maton connection list fireflies --status ACTIVE
Paths passed to maton api must start with /fireflies/:
maton api -X POST '/fireflies/graphql' ...maton api -X POST '/graphql' ...A 500 may mean the Fireflies authorization expired. With the user's approval, create a new connection (maton connection create fireflies) and complete authorization; once it is ACTIVE, delete the stale connection so the gateway uses the new one.
maton api.--paginate walks every page and -q/--jq trims the response before it reaches you. On typed commands, --jq requires --json.maton api; Host and Authorization are set by the gateway.Everything above uses the CLI, which holds the credential itself and never exposes it to the caller. Use the raw HTTP form below only where the CLI cannot be installed — a locked-down container, a CI step, a sandbox with no package manager. If maton is available, maton api does the same job without handling a secret.
Calling https://api.maton.ai/ directly means holding a long-lived Maton API key in the process environment, where it is readable by every child process and easy to leak into logs, crash dumps, shell history, and pasted output. Handle it accordingly:
[ -n "$MATON_API_KEY" ] && echo "MATON_API_KEY is set" || echo "MATON_API_KEY is not set"
.env, or a script makes it permanent. Let the environment that starts the session supply it — a CI secret store, a container secret, a secrets manager.-H "Authorization: Bearer $MATON_API_KEY"), where it lands in ps output and shell history. Feed the header in on stdin instead, as below.api.maton.ai. It is not a credential for Fireflies or any other third-party host.curl --config - reads the header from stdin, so the key is never a command-line argument and never reaches ps or shell history. Query values must be URL-encoded (is:unread becomes is%3Aunread).
curl --config - "https://api.maton.ai/fireflies/graphql" <<EOF
request = "POST"
header = "Authorization: Bearer $MATON_API_KEY"
header = "User-Agent: maton-fireflies-skill/1.1"
header = "Content-Type: application/json"
data = "{\"query\": \"{ users { name email } }\"}"
# Pin a specific connection when the account has more than one:
# header = "Maton-Connection: {connection_id}"
EOF
The same rules as the CLI apply to every request made this way: read-only calls first, and explicit user confirmation before any POST, PUT, PATCH, or DELETE.