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by Tuteliq

MCP server with 41 AI-powered tools for child safety, fraud detection, and content moderation. Detects bullying, grooming, sextortion, romance scams, social engineering, and more. For Claude, Cursor, and MCP-compatible AI assistants.

Set up this server

01 / Choose your client

02 / Before you connect

Authentication is not specified. Check the project instructions before connecting.

Install the runtime required by the project and make it available to your client.

Project instructions

Use names from the project instructions, separated by commas. Enter names only, never secret values.

03 / Add the configuration

Source: generated from public install instructions

claude mcp add --transport stdio 'tuteliq-mcp' -- 'npx' '-y' '@tuteliq/mcp'

Run in your terminal after replacing any placeholders.

04 / Check it in your client

Open your client’s MCP settings and confirm the server connects and lists its tools. A copied configuration does not confirm a working connection.

aichild-safetyclaudecontent-moderationmcpmodel-context-protocolsafetytoolsbullying-detectiongrooming-detection

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40 of 40 tools

Documented tools (40)

From project documentation. A server handshake does not verify each tool’s description or behavior.

analyse_multi

Run multiple detection endpoints on a single piece of text in one call

analyze

Quick comprehensive safety check (bullying + unsafe)

analyze_document

Analyze PDF documents for safety concerns — per-page multi-endpoint detection with chain-of-custody hashing (max 50MB, 100 pages)

analyze_emotions

Analyze emotional content and mental state indicators — accepts single text or full conversations

analyze_image

Analyze images for visual safety + OCR text extraction

analyze_video

Analyze video files for safety concerns via key frame extraction (supports mp4, mov, avi, webm, mkv)

analyze_voice

Transcribe audio and run safety analysis on the transcript

batch_analyze

Analyze up to 50 items in a single request — all twelve detection types (bullying, grooming, unsafe, emotions, socialengineering, appfraud, romancescam, mulerecruitment, gamblingharm, coercivecontrol, vulnerabilityexploitation, radicalisation) — ideal for bulk triage

batch_review_incidents

Apply one decision across many incidents in a single call

cancel_verification_session

Cancel an active session (no credits consumed)

create_verification_session

Create a session for age or identity verification — returns a URL for the user to complete the flow

create_webhook

Create a new webhook endpoint

detect_app_fraud

Detect app-based fraud (fake investment platforms, phishing apps, subscription traps)

detect_bullying

Analyze text for bullying, harassment, and gaming toxicity — including coded slang, emoji, and deliberate filter evasion, with context that tells trash-talk apart from genuine harm

detect_coercive_control

Detect coercive control patterns (isolation, financial control, monitoring, threats)

detect_gambling_harm

Detect gambling-related harm indicators (chasing losses, concealment, distress)

detect_grooming

Detect grooming patterns and predatory behavior in conversations

detect_mule_recruitment

Detect money mule recruitment tactics (easy-money offers, bank account sharing)

detect_radicalisation

Detect radicalisation indicators (extremist rhetoric, us-vs-them framing, ideological grooming)

detect_romance_scam

Detect romance scam patterns (love-bombing, financial requests, identity deception)

detect_social_engineering

Detect social engineering tactics (pretexting, urgency fabrication, authority impersonation)

detect_synthetic_audio

Dual-signal forensics: transcript + mel spectrogram vision + quantitative audio statistics

detect_synthetic_image

6-signal forensic pipeline: vision AI, EXIF metadata, pixel stats, C2PA Content Credentials, watermarks, pHash

detect_synthetic_text

Detect AI-generated text across 10 child-safety categories (synthetic CSAM, deepfake scripts, AI grooming)

detect_synthetic_video

5-track analysis: per-frame vision, temporal face consistency, lip-sync correlation, spectral audio, transcript

detect_unsafe

Identify unsafe content (self-harm, violence, explicit material)

detect_vulnerability_exploitation

Detect exploitation of vulnerable individuals (elderly, disabled, financially distressed)

generate_report

Create incident reports from conversations

get_action_plan

Generate age-appropriate guidance for safety situations

get_audit_logs

Query the audit log

get_audit_receipt

Fetch the signed receipt for a past inference

get_incident

Full detail for one incident, including the risk trajectory across messages

get_incident_trends

Incident volume bucketed by hour, day or week, split by severity

get_incidents_overview

Counts by category, severity, source, status and platform over a window

get_verification_session

Poll session status — returns full document intelligence (MRZ, barcode, authenticity, face match, liveness)

list_incidents

Paginated, filterable incident list

list_webhooks

List all configured webhooks

moderation_queue

Moderator triage console: the unreviewed queue, the next item, and — optionally — your own analysis trace and recommended decision, rendered for human sign-off. Read-only

review_incident

Record a moderator decision (confirm / downgrade / escalate / reclassify / dismiss) with a signed receipt

update_webhook

Update webhook configuration

Tool change history

Compared across complete checks of the same configuration. Tools were listed, not invoked. Input-schema changes are not measured here.

No complete tool checks yet.

FAQ

Questions about MCP Server

How do I connect MCP Server to Claude?
Run `claude mcp add tuteliq-mcp -- npx -y @tuteliq/mcp` in Claude Code, or add the same command and arguments under mcpServers in Cursor's mcp.json or Claude Desktop's claude_desktop_config.json, then restart the client. The blocks above are ready to paste.
Is MCP Server free?
The listed licence is MIT. Check the upstream terms for permitted use and commercial requirements; a public repository does not by itself mean the software is free or open source. Connected APIs and hosted services may have separate charges.
What can MCP Server do?
MCP Server documents 40 tools to the agent, including analyse_multi, analyze, analyze_document. The descriptions above come from project documentation. A live handshake does not test individual tool behavior.