Gladia

MCP server for Gladia audio transcription and intelligence. Enables LLMs to transcribe, analyze, and translate audio/video content through Gladia's API.

Getting Your API Key

1. Sign up at app.gladia.io
2. Navigate to the API Keys section
3. A default API key is automatically created for new accounts

Gladia offers 10 hours of free audio transcription per month. No credit card required.

Installation

npm install mcp-gladia

Or run directly:

npx mcp-gladia

Configuration

Set your Gladia API key as an environment variable:

export GLADIA_API_KEY=your-api-key-here

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "gladia": {
      "command": "npx",
      "args": ["mcp-gladia"],
      "env": {
        "GLADIA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Claude Code

claude mcp add gladia -- npx mcp-gladia

Then set your API key in the environment or .env file.

Other MCP Clients

Any MCP-compatible client can use this server via stdio transport. Set the command to npx mcp-gladia and provide GLADIA_API_KEY as an environment variable.

Tools

upload_file

Upload an audio/video file to Gladia for transcription.

Parameter	Type	Required	Description
filePath	string	Yes	Path to the audio/video file

Supported formats: mp3, wav, m4a, mp4, mov, avi, flac (max 1GB).

transcribe

Submit an audio file for transcription with automatic polling until completion. Supports all Gladia audio intelligence features. Returns the completed result or a job ID if timeout occurs (5 min).

Parameter	Type	Required	Description
audioUrl	string	Yes	URL from upload_file
language	string	No	Language code (e.g. en, fr). See supported languages
detectLanguage	boolean	No	Auto-detect language (default: true)
diarization	boolean	No	Enable speaker identification
diarizationConfig	object	No	{ numberOfSpeakers?, minSpeakers?, maxSpeakers? }
subtitles	boolean	No	Generate subtitle files
subtitlesConfig	object	No	{ formats: ["srt", "vtt"] }
customVocabulary	string[]	No	Custom words to improve recognition
summarization	boolean	No	Enable transcription summary
summarizationConfig	object	No	{ type: "general" | "concise" | "bullet_points" }
sentimentAnalysis	boolean	No	Enable sentiment/emotion analysis
namedEntityRecognition	boolean	No	Enable entity detection
chapterization	boolean	No	Enable chapter detection with timestamps
translation	boolean	No	Enable translation
translationConfig	object	No	{ targetLanguages: ["fr", "es"], model?: "base" | "enhanced" }
audioToLlm	boolean	No	Enable custom LLM analysis
audioToLlmConfig	object	No	{ prompts: ["your question about the audio"] }

get_transcription_status

Check the status of a transcription job (useful for long-running jobs that timed out).

Parameter	Type	Required	Description
jobId	string (UUID)	Yes	Job ID from a previous transcribe request

list_transcription_jobs

List past transcription jobs with optional filtering.

Parameter	Type	Required	Description
offset	number	No	Pagination offset
limit	number	No	Max results (default: 20)
status	string	No	Filter: queued, processing, done, error
afterDate	string	No	Filter by creation date (ISO 8601)
beforeDate	string	No	Filter by creation date (ISO 8601)
kind	string	No	Filter: pre-recorded, live

delete_transcription_job

Delete a transcription job and its data.

Parameter	Type	Required	Description
jobId	string (UUID)	Yes	Job ID to delete

Audio Intelligence Features

All intelligence features are enabled as options on the transcribe tool and processed server-side by Gladia.

Summarization

Generate a summary of the transcription in one of three formats:

Type	Description
general	Balanced, comprehensive summary (default)
concise	Short overview of key points
bullet_points	Key takeaways as a bullet list

{ "summarization": true, "summarizationConfig": { "type": "bullet_points" } }

Sentiment & Emotion Analysis

Detect sentiment and emotion for each sentence in the transcript, with speaker attribution when diarization is enabled.

Sentiments: positive, negative, neutral, mixed, unknown

Emotions: adoration, anger, joy, fear, surprise, sadness, neutral, and more

{ "sentimentAnalysis": true }

Named Entity Recognition

Detect and classify entities mentioned in the audio. Supports 50+ entity types across multiple categories:

Category	Entity Types
PII	Name, Email, Phone Number, SSN
Location	City, Country, Address
Medical (PHI)	Conditions, Drugs, Injuries
Financial	Bank Account, Credit Card
Demographic	Age, Gender, Occupation
Temporal	Date, Time

Supports GDPR, HIPAA, and CPRA compliance workflows.

{ "namedEntityRecognition": true }

Chapterization

Automatically segment audio into logical chapters. Each chapter includes:

• Summary — overview of the chapter content
• Headline — short title
• Gist — one-line bottom line
• Keywords — key terms mentioned
• Timestamps — start and end times

{ "chapterization": true }

Translation

Translate transcriptions to one or more target languages.

Model	Description
base	Fast translation, covers most use cases
enhanced	Higher quality, better for complex content

{ "translation": true, "translationConfig": { "targetLanguages": ["fr", "es"], "model": "enhanced" } }

Audio-to-LLM (Custom Prompts)

Run custom analysis prompts directly against the audio content. No need to post-process transcripts with a separate LLM.

{
  "audioToLlm": true,
  "audioToLlmConfig": {
    "prompts": [
      "Extract the key decisions made in this meeting",
      "What are the action items and who is responsible?"
    ]
  }
}

Speaker Diarization

Identify and separate speakers in the audio. Output includes speaker labels on every utterance.

{
  "diarization": true,
  "diarizationConfig": { "minSpeakers": 2, "maxSpeakers": 5 }
}

Supported Languages

100+ languages supported for transcription. Use the language code with the language parameter, or set detectLanguage: true (default) for automatic detection.

Language	Code		Language	Code		Language	Code
Afrikaans	af		Hawaiian	haw		Persian	fa
Albanian	sq		Hebrew	he		Polish	pl
Amharic	am		Hindi	hi		Portuguese	pt
Arabic	ar		Hungarian	hu		Punjabi	pa
Armenian	hy		Icelandic	is		Romanian	ro
Assamese	as		Indonesian	id		Russian	ru
Azerbaijani	az		Italian	it		Sanskrit	sa
Bashkir	ba		Japanese	ja		Serbian	sr
Basque	eu		Javanese	jw		Shona	sn
Belarusian	be		Kannada	kn		Sindhi	sd
Bengali	bn		Kazakh	kk		Sinhala	si
Bosnian	bs		Khmer	km		Slovak	sk
Breton	br		Korean	ko		Slovenian	sl
Bulgarian	bg		Lao	lo		Somali	so
Catalan	ca		Latin	la		Spanish	es
Chinese	zh		Latvian	lv		Sundanese	su
Croatian	hr		Lingala	ln		Swahili	sw
Czech	cs		Lithuanian	lt		Swedish	sv
Danish	da		Luxembourgish	lb		Tagalog	tl
Dutch	nl		Macedonian	mk		Tajik	tg
English	en		Malagasy	mg		Tamil	ta
Estonian	et		Malay	ms		Tatar	tt
Faroese	fo		Malayalam	ml		Telugu	te
Finnish	fi		Maltese	mt		Thai	th
French	fr		Maori	mi		Tibetan	bo
Galician	gl		Marathi	mr		Turkish	tr
Georgian	ka		Mongolian	mn		Turkmen	tk
German	de		Myanmar	my		Ukrainian	uk
Greek	el		Nepali	ne		Urdu	ur
Gujarati	gu		Norwegian	no		Uzbek	uz
Haitian Creole	ht		Nynorsk	nn		Vietnamese	vi
Hausa	ha		Occitan	oc		Welsh	cy
			Pashto	ps		Wolof	wo
						Yiddish	yi
						Yoruba	yo

Usage Examples

Basic Transcription

Upload my-recording.mp3 and transcribe it

Meeting with Multiple Speakers

Transcribe this meeting recording with diarization enabled, expecting 3-5 speakers.
Generate a bullet-point summary and extract action items using audio-to-LLM.

Multilingual Content Analysis

Transcribe this podcast, detect the language, translate to English and French,
and run sentiment analysis on the conversation.

Compliance & Entity Detection

Transcribe this customer call with named entity recognition to identify
any PII mentioned (names, emails, phone numbers).

Custom Audio Analysis

Transcribe this earnings call and use audio-to-LLM with these prompts:
- "What are the key financial metrics mentioned?"
- "What is the company's guidance for next quarter?"
- "Summarize the Q&A section"

Troubleshooting

Issue	Solution
GLADIA_API_KEY is required	Set the GLADIA_API_KEY environment variable
Unsupported file format	Use mp3, wav, m4a, mp4, mov, avi, or flac
File too large	Files must be under 1GB
Transcription timeout	Use get_transcription_status with the returned job ID
Translation fails	Ensure translationConfig.targetLanguages is provided
Invalid uuid	Job IDs must be valid UUIDs (from transcribe or list_transcription_jobs)

Development

git clone https://github.com/gladiaio/mcp-gladia.git
cd mcp-gladia
npm install
npm run build
npm run dev

Requires Node.js 18+.

Links

• Gladia Website
• Gladia Documentation
• Get API Key
• GitHub Repository

License

MIT