Skip to main content
Glama
299,471 tools. Last updated 2026-07-14 22:03

"namespace:io.github.thyn-ai" matching MCP tools:

  • Generate an AI image using Avocado AI. Returns a jobId immediately; image generation completes in 10-60 seconds. After calling, use the check_job tool with the returned jobId to retrieve the result, once complete, check_job returns the image inline so it renders directly in chat. Run models_list to see available models. Costs 1-4 credits per image depending on model and quality.
    Connector
  • Get the latest curated crypto news headlines. Returns real-time news items with headline, sentiment, categories, and sources. Use the category parameter to filter by topic (e.g. 'bitcoin', 'defi', 'ai'). Call get_categories first to see all available category codes. Args: category: Filter by category code (e.g. 'bitcoin', 'ethereum', 'defi', 'ai'). Omit to get news across all categories. limit: Number of items to return (1-10, default 5).
    Connector
  • Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector
  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
    Connector
  • Returns current agent-readable sellable products for AI Dev Board, including promoted listings, the AI Market Demand Pack, Dossier packages, and unavailable waitlist products. Retired data-pack aliases resolve to the Market Demand Pack and are not listed as separate offers. Use before quote_product or start_checkout.
    Connector
  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.
    Connector
  • Top AI-flagged news across all tracked stocks — the market-wide news briefing. Unlike get_stock_news (per-symbol), this scans the entire universe and returns the most notable articles ranked by AI flag score, newest first within each score tier. Use this for: - Morning briefing: "what happened in the market this week?" - Catalyst scanning: "what news is driving moves right now?" - Event monitoring: "which stocks have high-impact news today?" - min_flag_score: minimum AI flag score (default 8, min 5, max 10) 8 = notable · 9 = high-impact · 10 = exceptional - days: look-back window in days (default 3, max 10) - limit: max articles returned (default 10, max 25) - Per article: symbol, title, published_at, ai_sentiment, ai_flag_score (0-10), ai_summary (full text), ai_confidence (0-10) Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector
  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
    Connector
  • AI Voice Generator — Convert text to natural-sounding speech using AI — 6 voices in English and Spanish, with engine tiers for cleaner studio-grade output.. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
    Connector
  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
    Connector
  • Return a LITE reading of a brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery Intelligence / BDI snapshot). Mirror measures at two declared levels: LITE estimates, FULL measures. This tool is LITE: it returns a grade band (Below Average / Average / Above Average / Excellent) and an ESTIMATED ACS RANGE — never a single AI Citability Score, and never numeric AEO/GEO/SEO sub-scores. Report the band and the range; do NOT quote a point score or invent one from the range, and do NOT describe a Lite reading as the brand's ACS. When a user asks how visible or citable a brand is in AI — 'how visible is [brand] in AI', 'is [brand] cited by ChatGPT/Gemini/Perplexity', 'what is [brand]'s brand discovery score' — run this for the quick answer, then offer `reflect` for the Full Reflection, which is the only level that returns a precise, reproducible, citable ACS (±3–5, rubric V2.7) and the only level that feeds The ACI 55.
    Connector
  • Issue a signed JWT attesting to EU AI Act Article 53 compliance for a specific license via GET /eu-ai-act/article-53-attestation (Phase 12 Wave 1 W1.4). Returns a freshly-signed HS256 JWT regulators can verify offline against the canonical signing key. Embeds: license context, usage-count over the attestation window, the most-recent Tempo Merkle root, and canonical claims (iss/sub/iat/exp/jti/aud). **The artifact AI labs hand to legal/procurement for EU AI Act Article 53(1)(d) transparency-obligation evidence.** Per INVARIANTS.md W1.6: this attests to EU AI Act Article 53 ONLY (buyer-side GPAI-model-provider transparency obligation). It does NOT discharge a publisher's CDSM Article 4(3) reservation obligation — that lives on the rsl_get tool (jsonld=true variant). Never conflate. Optional `content_id` scopes the attestation to one article; default is license-wide. Window cap: 365 days. Requires OPEDD_BUYER_JWT.
    Connector
  • AI Vocal Remover — Remove vocals from any song to create instrumentals or karaoke tracks. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files are deleted after processing; auditable at mioffice.ai/account/tasks (retention details at mioffice.ai/privacy). All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
    Connector
  • Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
    Connector
  • Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.
    Connector
  • List the user's Avocado AI storyboards. Returns owned and shared boards with id, title, last-updated time, thumbnail, and direct URL. Use this to let the user pick an existing board.
    Connector
  • Get AI-synthesized insider + institutional sentiment for a stock. Returns combined signal (BULLISH/BEARISH/NEUTRAL etc.), flag_score (8+=notable), confidence, per-source breakdown, and a human-readable summary. Data covers insider transactions (SEC Form 4) and institutional holdings. Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector
  • AI research summary for a stock — verdict, confidence, key points, and risk factors. Generated by the Stocklake AI pipeline (stock_ai_summary.py) on a nightly refresh cycle. Returns: - verdict: "bullish" | "bearish" | "neutral" - confidence: 0-10 (how confident the AI is in its assessment) - flag_score: 0-10 (how notable/interesting this stock is right now — 8+ = worth attention) - summary: 2-4 sentence AI narrative - key_points: list of 3-5 bullish/neutral observations - risks: list of 2-3 specific risk factors - price_at_generation: stock price when the summary was generated - generated_at: UTC timestamp of last generation Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
    Connector