Public MCP server for the LLM Search Engine
Inferido de los transportes que declara este listado (streamable-http). Que un cliente no aparezca aquí no significa que se haya descartado: simplemente Forge no puede confirmarlo.
La verificación confirma la identidad del publicador (la propiedad del repo), no la seguridad del código. El análisis de seguridad cubre los CVE conocidos y los scripts de instalación sospechosos.
Leído de un handshake MCP real initialize → tools/list contra el endpoint declarado. No se invocó ninguna herramienta: tools/list es la llamada de introspección de solo lectura que el protocolo define para esto. Refleja lo que el servidor anunciaba en ese momento; un endpoint alojado no está fijado a ninguna versión y puede cambiar sin avisar.
https://llmse.ai/mcp10 herramientas · 1334 msclassify_urlClassify a website URL into category, subcategory, language, and sentiment.
Fetches the URL content and uses AI for classification.
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to classify (e.g., "https://example.com").
Returns:
Classification result with:
- url: The normalized URL
- category: Main category (e.g., "Sports", "Technology")
- subcategory: Specific subcategory
- language: Detected content language
- sentiment: Content sentiment (Good/Neutral/Bad)
- age: Target age group (if available)
- gender: Target gender (if available)
- cached: Whether result was from cacheClassify a website URL into category, subcategory, language, and sentiment. Fetches the URL content and uses AI for classification. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to classify (e.g., "https://example.com"). Returns: Classification result with: - url: The normalized URL - category: Main category (e.g., "Sports", "Technology") - subcategory: Specific subcategory - language: Detected content language - sentiment: Content sentiment (Good/Neutral/Bad) - age: Target age group (if available) - gender: Target gender (if available) - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
select_advertiserSelect the best advertisers based on website demographics.
Matches advertisers to website content based on classification demographics.
Provide either a URL (classification will be fetched) or demographics directly.
Rate limited to 1 request per minute per domain when using URL.
Scoring weights:
- Category match: +10 points
- Age match: +5 points
- Gender match: +3 points
- Sentiment match: +2 points
- Higher CPM bid as tiebreaker
Args:
url: URL to match advertisers for (fetches classification from cache).
category: Target category (e.g., "Sports", "Automotive").
subcategory: Target subcategory.
age: Target age group (e.g., "18-24", "25-34", "31-51").
gender: Target gender ("male", "female", or "all").
sentiment: Content sentiment ("Good", "Neutral", or "Bad").
limit: Number of advertisers to return (1-10, default 3).
min_cpm: Minimum CPM cost filter (e.g., 5.0 for $5+ CPM).
max_cpm: Maximum CPM cost filter (e.g., 10.0 for $10 or less CPM).
Returns:
Dictionary with:
- matches: List of matched advertisers with scores
- match_count: Number of matches found
- classification: URL classification (if URL provided)
- demographics: Provided demographics (if no URL)Select the best advertisers based on website demographics. Matches advertisers to website content based on classification demographics. Provide either a URL (classification will be fetched) or demographics directly. Rate limited to 1 request per minute per domain when using URL. Scoring weights: - Category match: +10 points - Age match: +5 points - Gender match: +3 points - Sentiment match: +2 points - Higher CPM bid as tiebreaker Args: url: URL to match advertisers for (fetches classification from cache). category: Target category (e.g., "Sports", "Automotive"). subcategory: Target subcategory. age: Target age group (e.g., "18-24", "25-34", "31-51"). gender: Target gender ("male", "female", or "all"). sentiment: Content sentiment ("Good", "Neutral", or "Bad"). limit: Number of advertisers to return (1-10, default 3). min_cpm: Minimum CPM cost filter (e.g., 5.0 for $5+ CPM). max_cpm: Maximum CPM cost filter (e.g., 10.0 for $10 or less CPM). Returns: Dictionary with: - matches: List of matched advertisers with scores - match_count: Number of matches found - classification: URL classification (if URL provided) - demographics: Provided demographics (if no URL)
No se publicó ningún esquema de entrada para esta herramienta.
analyze_seoAnalyze a website URL for SEO optimizations.
Fetches the URL content and analyzes HTML for possible SEO improvements.
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to analyze (e.g., "https://example.com").
Returns:
SEO analysis result with:
- url: The analyzed URL
- score: Overall SEO score (0-100)
- grade: Letter grade (A-F)
- issues: List of SEO issues found (critical, warnings, info)
- meta: Extracted meta information (title, description, headings, etc.)
- recommendations: Prioritized list of improvements
- cached: Whether result was from cacheAnalyze a website URL for SEO optimizations. Fetches the URL content and analyzes HTML for possible SEO improvements. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: SEO analysis result with: - url: The analyzed URL - score: Overall SEO score (0-100) - grade: Letter grade (A-F) - issues: List of SEO issues found (critical, warnings, info) - meta: Extracted meta information (title, description, headings, etc.) - recommendations: Prioritized list of improvements - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
analyze_eeatAnalyze a website URL for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness).
Evaluates content quality signals based on Google's Search Quality Rater Guidelines
and "Creating helpful content" documentation. Detects EEAT signals including:
- Experience: First-person language, case studies, testimonials, years of experience
- Expertise: Author credentials, certifications, professional memberships, topic depth
- Authoritativeness: Organization schema, awards, trust badges, media mentions
- Trustworthiness: HTTPS, contact info, privacy policy, source citations
Also detects YMYL (Your Money or Your Life) content for health, financial, and legal topics.
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to analyze (e.g., "https://example.com").
Returns:
EEAT analysis result with:
- url: The analyzed URL
- score: Overall EEAT score (0-100)
- grade: Letter grade (A-F)
- scores: Individual category scores (experience, expertise, authoritativeness, trustworthiness)
- issues: Categorized issues (critical, warnings, info)
- signals: Detected EEAT signals
- meta: Extracted meta information
- recommendations: Prioritized list of improvements
- cached: Whether result was from cacheAnalyze a website URL for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Evaluates content quality signals based on Google's Search Quality Rater Guidelines and "Creating helpful content" documentation. Detects EEAT signals including: - Experience: First-person language, case studies, testimonials, years of experience - Expertise: Author credentials, certifications, professional memberships, topic depth - Authoritativeness: Organization schema, awards, trust badges, media mentions - Trustworthiness: HTTPS, contact info, privacy policy, source citations Also detects YMYL (Your Money or Your Life) content for health, financial, and legal topics. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: EEAT analysis result with: - url: The analyzed URL - score: Overall EEAT score (0-100) - grade: Letter grade (A-F) - scores: Individual category scores (experience, expertise, authoritativeness, trustworthiness) - issues: Categorized issues (critical, warnings, info) - signals: Detected EEAT signals - meta: Extracted meta information - recommendations: Prioritized list of improvements - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
analyze_aeoAnalyze how well content is optimized for AI answer engines.
Evaluates content for AI answer engines (ChatGPT, Perplexity, Gemini, Claude).
Combines Q&A pattern detection, snippet extractability, and entity clarity
analysis with a full Citation Readiness assessment.
AEO Scoring Framework (100 points):
- Answer Format Detection: 30 points (Q&A extractability patterns)
- FAQ Schema Presence: 20 points (FAQPage schema markup)
- HowTo Schema Presence: 15 points (HowTo schema markup)
- Direct Answer Snippets: 20 points (short extractable blocks <50 words)
- Entity Clarity Score: 15 points (clear entity definitions)
Neutral Schema Scoring: If no FAQ/HowTo-style content detected, those
schema metrics score full points rather than penalizing.
Grade Scale: A (85-100), B (70-84), C (55-69), D (40-54), F (0-39)
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to analyze (e.g., "https://example.com").
Returns:
AEO analysis with:
- url: The analyzed URL
- aeo_score: Overall AEO score (0-100)
- aeo_grade: Letter grade (A-F)
- aeo_metrics: Individual metric scores
- citation: Full Citation Readiness analysis (score, grade, issues, signals)
- issues: Problems detected (critical, warnings, info)
- signals: Positive signals detected
- recommendations: Prioritized improvements
- cached: Whether result was from cacheAnalyze how well content is optimized for AI answer engines. Evaluates content for AI answer engines (ChatGPT, Perplexity, Gemini, Claude). Combines Q&A pattern detection, snippet extractability, and entity clarity analysis with a full Citation Readiness assessment. AEO Scoring Framework (100 points): - Answer Format Detection: 30 points (Q&A extractability patterns) - FAQ Schema Presence: 20 points (FAQPage schema markup) - HowTo Schema Presence: 15 points (HowTo schema markup) - Direct Answer Snippets: 20 points (short extractable blocks <50 words) - Entity Clarity Score: 15 points (clear entity definitions) Neutral Schema Scoring: If no FAQ/HowTo-style content detected, those schema metrics score full points rather than penalizing. Grade Scale: A (85-100), B (70-84), C (55-69), D (40-54), F (0-39) Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: AEO analysis with: - url: The analyzed URL - aeo_score: Overall AEO score (0-100) - aeo_grade: Letter grade (A-F) - aeo_metrics: Individual metric scores - citation: Full Citation Readiness analysis (score, grade, issues, signals) - issues: Problems detected (critical, warnings, info) - signals: Positive signals detected - recommendations: Prioritized improvements - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
analyze_wcagAnalyze a website URL for WCAG 2.1 Level A accessibility issues.
Automated static HTML analysis covering approximately 30-40% of WCAG 2.1
Level A criteria. Checks include: image alt text, form labels, heading
hierarchy, page title, html lang, empty links/buttons, ARIA labels,
duplicate IDs, skip navigation, table headers, landmarks, viewport zoom,
autoplay media, and tabindex ordering.
Manual testing is required for full WCAG compliance assessment.
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to analyze (e.g., "https://example.com").
Returns:
WCAG analysis with:
- url: The analyzed URL
- score: Accessibility score (0-100)
- grade: Letter grade (A-F)
- issues: Categorized issues (critical, warnings, info)
- meta: Extracted accessibility metadata
- recommendations: Prioritized improvements
- coverage_note: Disclaimer about automated coverage
- cached: Whether result was from cacheAnalyze a website URL for WCAG 2.1 Level A accessibility issues. Automated static HTML analysis covering approximately 30-40% of WCAG 2.1 Level A criteria. Checks include: image alt text, form labels, heading hierarchy, page title, html lang, empty links/buttons, ARIA labels, duplicate IDs, skip navigation, table headers, landmarks, viewport zoom, autoplay media, and tabindex ordering. Manual testing is required for full WCAG compliance assessment. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: WCAG analysis with: - url: The analyzed URL - score: Accessibility score (0-100) - grade: Letter grade (A-F) - issues: Categorized issues (critical, warnings, info) - meta: Extracted accessibility metadata - recommendations: Prioritized improvements - coverage_note: Disclaimer about automated coverage - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
analyze_garmCompute GARM brand safety score for a website or category.
Based on the GARM (Global Alliance for Responsible Media) Brand Suitability
Framework. Maps content categories to 11 GARM sensitive content categories
with risk levels (Floor, High, Medium, Low).
Can either:
1. Provide a URL - classification will be fetched and mapped to GARM
2. Provide category and sentiment directly for instant scoring
Score interpretation: higher = safer for advertising.
Floor categories (e.g., Adult) always score 0/F regardless of sentiment.
Args:
category: LLMSE category (e.g., "Adult", "Politics", "Sports").
sentiment: Content sentiment ("Bad", "Neutral", "Good").
url: Optional URL to analyze (fetches classification from cache).
Returns:
GARM brand safety analysis with:
- score: Brand safety score (0-100, higher = safer)
- grade: Letter grade (A-F)
- garm_category: Matched GARM category name or None
- risk_level: "floor"|"high"|"medium"|"low"|"none"
- is_floor: True if not suitable for any advertising
- issues: Categorized issues {critical, warnings, info}
- recommendations: Improvement suggestionsCompute GARM brand safety score for a website or category. Based on the GARM (Global Alliance for Responsible Media) Brand Suitability Framework. Maps content categories to 11 GARM sensitive content categories with risk levels (Floor, High, Medium, Low). Can either: 1. Provide a URL - classification will be fetched and mapped to GARM 2. Provide category and sentiment directly for instant scoring Score interpretation: higher = safer for advertising. Floor categories (e.g., Adult) always score 0/F regardless of sentiment. Args: category: LLMSE category (e.g., "Adult", "Politics", "Sports"). sentiment: Content sentiment ("Bad", "Neutral", "Good"). url: Optional URL to analyze (fetches classification from cache). Returns: GARM brand safety analysis with: - score: Brand safety score (0-100, higher = safer) - grade: Letter grade (A-F) - garm_category: Matched GARM category name or None - risk_level: "floor"|"high"|"medium"|"low"|"none" - is_floor: True if not suitable for any advertising - issues: Categorized issues {critical, warnings, info} - recommendations: Improvement suggestions
No se publicó ningún esquema de entrada para esta herramienta.
analyze_readabilityAnalyze a website URL for content readability using Flesch Reading Ease.
Extracts plain text from HTML and computes readability metrics including
Flesch Reading Ease score, Flesch-Kincaid grade level, reading time,
and word/sentence statistics.
Grade Scale (web-optimized):
- A (60-100): Easy, 6th-8th grade — ideal for web content
- B (50-59): Fairly easy, some high school
- C (30-49): Standard, college level
- D (10-29): Difficult, graduate level
- F (0-9): Very difficult, professional/academic
Results are cached for fast subsequent lookups.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to analyze (e.g., "https://example.com").
Returns:
Readability analysis with:
- url: The analyzed URL
- score: Flesch Reading Ease score (0-100, higher = easier)
- grade: Letter grade (A-F)
- flesch_kincaid_grade_level: US school grade level equivalent
- reading_time_minutes: Estimated reading time in minutes
- word_count: Total word count
- sentence_count: Total sentence count
- difficult_words: Count of difficult/uncommon words
- cached: Whether result was from cacheAnalyze a website URL for content readability using Flesch Reading Ease. Extracts plain text from HTML and computes readability metrics including Flesch Reading Ease score, Flesch-Kincaid grade level, reading time, and word/sentence statistics. Grade Scale (web-optimized): - A (60-100): Easy, 6th-8th grade — ideal for web content - B (50-59): Fairly easy, some high school - C (30-49): Standard, college level - D (10-29): Difficult, graduate level - F (0-9): Very difficult, professional/academic Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: Readability analysis with: - url: The analyzed URL - score: Flesch Reading Ease score (0-100, higher = easier) - grade: Letter grade (A-F) - flesch_kincaid_grade_level: US school grade level equivalent - reading_time_minutes: Estimated reading time in minutes - word_count: Total word count - sentence_count: Total sentence count - difficult_words: Count of difficult/uncommon words - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
auditPerform comprehensive audit of a website URL.
Fetches the URL content ONCE and provides a combined report with:
- Classification: category, subcategory, language, sentiment, demographics
- SEO Analysis: score, grade, issues, recommendations
- EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores
- AEO Analysis: AI answer engine optimization score, metrics, issues, signals
(includes full Citation Readiness analysis in the nested 'citation' key)
- Advertiser Matching: best-fit advertising networks with scores
- Similar Sites: competitor/related sites from the same category
This is more efficient than calling classify_url, analyze_seo, analyze_eeat,
analyze_aeo, select_advertiser, and find_similar_sites separately as it only
fetches the page once.
Args:
url: The website URL to audit (e.g., "https://example.com").
Returns:
Comprehensive audit report with:
- url: The analyzed URL
- classification: Category, subcategory, language, sentiment, demographics
- seo: Score, grade, issues, recommendations
- eeat: EEAT score, grade, category scores, issues, signals
- aeo: AEO score, grade, metrics, issues, signals (includes citation results)
- advertisers: Matched advertising networks with scores
- similar_sites: Related sites from the same category (up to 10)
- cached: Whether result was from cachePerform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache
No se publicó ningún esquema de entrada para esta herramienta.
find_similar_sitesFind similar or competitor websites based on classification.
Takes a URL, classifies it (or uses cached classification), and returns
other websites from the same category and subcategory. Useful for
competitive analysis and discovering related content.
Rate limited to 1 request per minute per domain.
Args:
url: The website URL to find similar sites for.
limit: Maximum number of similar sites to return (1-50, default 10).
Returns:
Dictionary with:
- url: The input URL (normalized)
- classification: The URL's category and subcategory
- similar_sites: List of similar URLs from the same category
- total_in_category: Total sites in this category/subcategory
- cached: Whether the classification was from cacheFind similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per minute per domain. Args: url: The website URL to find similar sites for. limit: Maximum number of similar sites to return (1-50, default 10). Returns: Dictionary with: - url: The input URL (normalized) - classification: The URL's category and subcategory - similar_sites: List of similar URLs from the same category - total_in_category: Total sites in this category/subcategory - cached: Whether the classification was from cache
No se publicó ningún esquema de entrada para esta herramienta.
10 de 10 herramientas publicaron una descripción.
Los nombres y descripciones de las herramientas los escribe el publicador y se muestran literalmente como texto inerte. Son las cadenas que un cliente MCP pasa al modelo, así que Forge las analiza en busca de patrones de inyección de prompts — cualquier hallazgo aparece junto al análisis de seguridad de arriba. «Privilegiada» es una coincidencia de palabra clave en el nombre de la herramienta, no una auditoría de lo que hace: un nombre inofensivo puede hacer cualquier cosa.
Public MCP server for the LLM Search Engine
Los nombres enlazados abren el índice de Forge con todas las entradas que se observó que exponen esa herramienta. Ver todas las herramientas indexadas.
Esta entrada no publica ningún paquete de npm, así que Forge no tiene un árbol de dependencias para ella. Es una carencia de cobertura, no una afirmación de que no tenga dependencias.