MCP Server
Resemble AI
io.github.resemble-ai/resemble-mcp
What this MCP does
Analyzes media and text for deepfakes, AI authorship, misinformation, provenance watermarks, audio sources, and website human-versus-agent traffic.
Capabilities
Tools
18
tools
agent_detection_create_site
Create an Agent Detection integration for a website and return its
publishable key (pk_live_...) and the script snippet to install. domain is
the site's domain, e.g. example.com. If the team already has an integration
for that domain, the existing one is returned instead of a duplicate.
The publishable key is safe to put in a public web page: it only sends
telemetry, only from the listed domains. Never put the Resemble API key in
a page. Paste the snippet into the <head> of every page to cover; the page
can then listen for the 'resemble:verdict' event or call ResembleAgentDetection.onVerdict().
Input schema
{'type': 'object', 'title': 'agent_detection_create_siteArguments', 'required': ['domain'], 'properties': {'name': {'type': 'string', 'title': 'Name', 'default': ''}, 'domain': {'type': 'string', 'title': 'Domain'}}}
agent_detection_get_analytics
Summarise who is visiting a website: people vs AI agents. Returns totals
(visits, decided, agents, people, agent_share, gated), counts per visitor
class (human, computer_use_agent, browser_automation, scripted_client), and
breakdowns by page, day, and network. Use this to show how much traffic
comes from agents and which pages they use, so the site can be made easier
for helpful agents and protected from harmful ones.
Filters are optional: site_id (one integration), settled ('human' or
'agent'), page_path, and since/until as ISO 8601 times. agent_share is
agents / decided visits, or null when nothing is decided yet.
Input schema
{'type': 'object', 'title': 'agent_detection_get_analyticsArguments', 'properties': {'since': {'type': 'string', 'title': 'Since', 'default': ''}, 'until': {'type': 'string', 'title': 'Until', 'default': ''}, 'settled': {'type': 'string', 'title': 'Settled', 'default': ''}, 'site_id': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Site Id', 'default': None}, 'page_path': {'type': 'string', 'title': 'Page Path', 'default': ''}}}
agent_detection_get_session
Get one website visit and the evidence behind its verdict: the feature
vector it was decided from, plain-language observations, and each model
read. When the visit was recorded, the raw event stream is available;
it is omitted unless include_events is true, and then capped at the first
200 events. The verdict is advisory: it comes from browser signals, which
a determined attacker can fake.
Input schema
{'type': 'object', 'title': 'agent_detection_get_sessionArguments', 'required': ['session_id'], 'properties': {'session_id': {'type': 'integer', 'title': 'Session Id'}, 'include_events': {'type': 'boolean', 'title': 'Include Events', 'default': False}}}
agent_detection_list_sessions
List individual website visits, newest first, each with its verdict
(settled: human, agent, or null while still open), visitor_class,
p_person, the page, referrer, user agent, and duration. Same filters as
agent_detection_get_analytics plus a free-text search. per_page max 100.
Input schema
{'type': 'object', 'title': 'agent_detection_list_sessionsArguments', 'properties': {'page': {'type': 'integer', 'title': 'Page', 'default': 1}, 'since': {'type': 'string', 'title': 'Since', 'default': ''}, 'until': {'type': 'string', 'title': 'Until', 'default': ''}, 'search': {'type': 'string', 'title': 'Search', 'default': ''}, 'settled': {'type': 'string', 'title': 'Settled', 'default': ''}, 'site_id': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Site Id', 'default': None}, 'per_page': {'type': 'integer', 'title': 'Per Page', 'default': 25}, 'page_path': {'type': 'string', 'title': 'Page Path', 'default': ''}}}
agent_detection_list_sites
List this team's Agent Detection integrations. Agent Detection tells a
website whether each visitor is a person or an AI agent (for example a
personal assistant browsing on someone's behalf). Each integration is one
website, with the domains its publishable key works on and the one-line
script snippet to paste into the site's <head>.
Input schema
{'type': 'object', 'title': 'agent_detection_list_sitesArguments', 'properties': {}}
agent_detection_update_site
Replace the list of domains an Agent Detection integration's publishable
key is valid on (for example to add a staging or www host), and optionally
rename it. domains replaces the whole list, so include every domain to keep;
at least one is required.
Input schema
{'type': 'object', 'title': 'agent_detection_update_siteArguments', 'required': ['site_id', 'domains'], 'properties': {'name': {'type': 'string', 'title': 'Name', 'default': ''}, 'domains': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Domains'}, 'site_id': {'type': 'integer', 'title': 'Site Id'}}}
analyze_media
Analyze media for structured intelligence: transcription, translation,
language, speaker info, emotion, scene description, abnormalities, and
misinformation analysis. media_type: auto | audio | video | image.
Input schema
{'type': 'object', 'title': 'analyze_mediaArguments', 'required': ['url'], 'properties': {'url': {'type': 'string', 'title': 'Url'}, 'media_type': {'type': 'string', 'title': 'Media Type', 'default': 'auto'}, 'structured_json': {'type': 'boolean', 'title': 'Structured Json', 'default': True}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 120}}}
apply_watermark
Embed an invisible Resemble provenance watermark into media (audio-first)
and return the watermarked media URL. strength 0.0-1.0 (image/video only).
Input schema
{'type': 'object', 'title': 'apply_watermarkArguments', 'required': ['url'], 'properties': {'url': {'type': 'string', 'title': 'Url'}, 'strength': {'type': 'number', 'title': 'Strength', 'default': 0.2}, 'custom_message': {'type': 'string', 'title': 'Custom Message', 'default': ''}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 120}}}
ask_about_detection
Ask a natural-language question about a COMPLETED detection (e.g. 'how
confident is the model that this is fake?'). Returns the grounded answer.
Input schema
{'type': 'object', 'title': 'ask_about_detectionArguments', 'required': ['detect_uuid', 'query'], 'properties': {'query': {'type': 'string', 'title': 'Query'}, 'detect_uuid': {'type': 'string', 'title': 'Detect Uuid'}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 120}}}
detect_ai_text
Detect whether TEXT (an essay, email, post, review, comment, article) was
written by an AI language model. Needs at least 25 words: shorter text comes
back as prediction 'uncertain' with no model call - concatenate several
messages from the same author to reach the minimum. Returns prediction
('ai' | 'human'), confidence (how sure the model is of that prediction; it
is NOT an AI probability, so 'human' at 0.95 means strongly human), and the
full result. Only the first ~400 words are read; chunk longer documents.
A result can take several minutes when the model is cold or jobs are
queued - if status is still 'processing' when the wait budget ends, resume
with get_text_detection(uuid). Detection is probabilistic, not proof of authorship.
Input schema
{'type': 'object', 'title': 'detect_ai_textArguments', 'required': ['text'], 'properties': {'text': {'type': 'string', 'title': 'Text'}, 'threshold': {'type': 'number', 'title': 'Threshold', 'default': 0.5}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 240}, 'zero_retention_mode': {'type': 'boolean', 'title': 'Zero Retention Mode', 'default': False}}}
detect_deepfake
Detect whether media (audio, image, or video) at a public HTTPS URL is a
deepfake / AI-generated. Polls to completion and returns the verdict label,
confidence score, and full result. Optional flags add media intelligence,
audio source tracing, visualization, reverse image search (images),
out-of-distribution detection, and zero-retention (auto-delete media after
analysis). model_type: auto | image | talking_head.
Input schema
{'type': 'object', 'title': 'detect_deepfakeArguments', 'required': ['url'], 'properties': {'url': {'type': 'string', 'title': 'Url'}, 'visualize': {'type': 'boolean', 'title': 'Visualize', 'default': False}, 'model_type': {'type': 'string', 'title': 'Model Type', 'default': 'auto'}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 120}, 'run_intelligence': {'type': 'boolean', 'title': 'Run Intelligence', 'default': False}, 'use_ood_detector': {'type': 'boolean', 'title': 'Use Ood Detector', 'default': False}, 'use_reverse_search': {'type': 'boolean', 'title': 'Use Reverse Search', 'default': False}, 'zero_retention_mode': {'type': 'boolean', 'title': 'Zero Retention Mode', 'default': False}, 'audio_source_tracing': {'type': 'boolean', 'title': 'Audio Source Tracing', 'default': False}}}
detect_watermark
Check whether media at a public HTTPS URL carries a Resemble invisible
watermark (audio-first; per-channel verdict for audio).
Input schema
{'type': 'object', 'title': 'detect_watermarkArguments', 'required': ['url'], 'properties': {'url': {'type': 'string', 'title': 'Url'}}}
get_detect_agent_run
Fetch a persisted Detect Agent investigation by run_id, including its full
event transcript. Use after run_detect_agent_investigation reported
timed_out, or to re-read an earlier investigation.
Input schema
{'type': 'object', 'title': 'get_detect_agent_runArguments', 'required': ['preset_id', 'run_id'], 'properties': {'run_id': {'type': 'string', 'title': 'Run Id'}, 'preset_id': {'type': 'string', 'title': 'Preset Id'}}}
get_detection
Fetch a detection by UUID, polling until it completes (bounded). Use after
detect_deepfake when a long job exceeded its wait budget.
Input schema
{'type': 'object', 'title': 'get_detectionArguments', 'required': ['uuid'], 'properties': {'uuid': {'type': 'string', 'title': 'Uuid'}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 60}}}
get_text_detection
Fetch a text detection by UUID, polling until it completes (bounded). Use
after detect_ai_text returned status 'processing' - typically a cold start.
Input schema
{'type': 'object', 'title': 'get_text_detectionArguments', 'required': ['uuid'], 'properties': {'uuid': {'type': 'string', 'title': 'Uuid'}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 240}}}
list_detect_agents
List the managed Detect Agents — investigators that wrap detection in a
multi-step workflow ending in a written assessment. Returns each agent's
preset_id plus this team's run allowance (free_runs_remaining, entitled),
which is worth checking before starting a run.
Input schema
{'type': 'object', 'title': 'list_detect_agentsArguments', 'properties': {}}
run_detect_agent_investigation
Run a managed Detect Agent investigation against media at a public HTTPS
URL and return its verdict. preset_id is one of: investigate_social_content,
review_insurance_claim, verify_breaking_news, verify_document,
verify_evidence, verify_id (confirm with list_detect_agents). query states
the investigation objective; check_urls adds URLs for the agent to check.
Consumes a run of the team's allowance. `label`/`score` are the Detect
evidence and are the only basis for an authenticity claim; `verdict` is the
agent's written assessment. If timed_out is true the investigation is still
running server-side — retrieve it later with get_detect_agent_run.
Input schema
{'type': 'object', 'title': 'run_detect_agent_investigationArguments', 'required': ['preset_id', 'url'], 'properties': {'url': {'type': 'string', 'title': 'Url'}, 'query': {'type': 'string', 'title': 'Query', 'default': ''}, 'preset_id': {'type': 'string', 'title': 'Preset Id'}, 'check_urls': {'type': 'string', 'title': 'Check Urls', 'default': ''}, 'max_wait_seconds': {'type': 'integer', 'title': 'Max Wait Seconds', 'default': 180}}}
trace_audio_source
Get the audio source-tracing report for a detection (which AI platform
generated the fake audio). Only available when detection ran with
audio_source_tracing and labeled the audio fake.
Input schema
{'type': 'object', 'title': 'trace_audio_sourceArguments', 'required': ['uuid'], 'properties': {'uuid': {'type': 'string', 'title': 'Uuid'}}}
History
Recent tool changes
Added
agent_detection_get_session
Sept. 25, 2026, 2:55 a.m.
Added
agent_detection_list_sessions
Sept. 25, 2026, 2:55 a.m.
Added
agent_detection_get_analytics
Sept. 25, 2026, 2:55 a.m.
Added
agent_detection_update_site
Sept. 25, 2026, 2:55 a.m.
Added
agent_detection_create_site
Sept. 25, 2026, 2:55 a.m.
Added
agent_detection_list_sites
Sept. 25, 2026, 2:55 a.m.
Added
get_detect_agent_run
Sept. 25, 2026, 2:55 a.m.
Added
run_detect_agent_investigation
Sept. 25, 2026, 2:55 a.m.
Added
list_detect_agents
Sept. 25, 2026, 2:55 a.m.
Added
get_text_detection
Sept. 25, 2026, 2:55 a.m.
Added
detect_ai_text
Sept. 25, 2026, 2:55 a.m.
Added
trace_audio_source
Sept. 17, 2026, 12:49 p.m.
Added
apply_watermark
Sept. 17, 2026, 12:49 p.m.
Added
detect_watermark
Sept. 17, 2026, 12:49 p.m.
Added
ask_about_detection
Sept. 17, 2026, 12:49 p.m.
Added
analyze_media
Sept. 17, 2026, 12:49 p.m.
Added
get_detection
Sept. 17, 2026, 12:49 p.m.
Added
detect_deepfake
Sept. 17, 2026, 12:49 p.m.
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