"Information about Flutter framework" matching MCP tools:

• generate_framework_analysis

  jeda-ai

  Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }

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• make_thumbnail

  Hermoso

  Render a click-driving YOUTUBE / Shorts / Instagram THUMBNAIL or video cover — the full production pipeline (concept framework → casting → scene → render → surgical tweaks → text), not a bare image prompt. Use this for any "thumbnail", "video cover", "video preview" or MrBeast-style packaging ask INSTEAD of generate_image. About 9 credits per variant; the headline overlay is free. CONCEPT — every thumbnail must open an INFORMATION GAP (the image raises a question the title answers) while staying truthful to the video. Brainstorm ≥5 concepts across the 16 frameworks before you pick, and feel free to combine two. Frameworks (pass as `framework`): before_after · social_ui · three_step · screenshot · posed_portrait (the default) · posed_action · specific_day · graphical · landscape · map_aerial · product · adding_text · repetition · size_difference · news_clip · amplified_reality. Call hermoso_capabilities for each one's full 'realize it with' note plus the emotion, overlay-style, font and rim-colour catalogs. THREE GATES, all BEFORE you render: 1. WHO IS IN FRAME — never assume and never silently substitute a stranger. If the framework puts a person in frame and no face photo is attached, the tool refuses (nothing rendered, nothing charged) and tells you to ask the user once: themselves (send a face photo → the identity gets locked), a generated person (`castGenericPerson:true`), or a people-free framework. 2. TEXT — the default is a CLEAN render with the headline TYPESET OVER THE TOP afterwards (free, always legible, correctly spelled). Just pass `headline`. Only set `bakeText:true` if the user explicitly asks for the words painted INTO the image — verified live, that renders the asked-for words correctly but leaks garbled invented text across the rest of the frame. Never infer text intent from the topic or the framework. 3. HOW MANY — ask once whether they want one thumbnail or a SET (offer 4: the same concept at different emotions and/or camera takes). Default is 1; `variants` caps at 16. IDENTITY LOCK is automatic for every attached face photo. `emotion` is the single biggest CTR lever on a face: shock · hype · fear · confusion · determination · smug · charisma · disgust · awe · rage · laugh (or your own phrase). Finished thumbnail needs a fix? Re-call with `tweak` + `sourceImage` for a surgical, pixel-faithful edit (emotion / background / background_color / rim_light) instead of re-rendering — tweaks chain. ALWAYS check the returned postRenderCheck against the image before you present it.

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• get_security_info

  Fluentive MCP

  Returns Fluentive's security, privacy, and compliance information. Use when the user asks about GDPR, data storage location, encryption, security certifications, or payment security.

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• list_suites

  saferagenticai-mcp

  List all 16 suites in the SaferAgenticAI framework (9 drivers + 7 inhibitors) with subgoal counts and titles. Call this first to orient.

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• list_investment_theses

  crashtestyourstrategy

  Discover the investment-thesis catalog. Each entry is a descriptive case study that pairs an economic framework with a rule-based portfolio and the synthetic + historical stress evidence for that allocation. Returns one compact summary per thesis (slug, title, one-liner, tags, risk tiers, framework summary, headline finding). Call get_investment_thesis(slug) for the full framework / portfolio / stress evidence, or read the thesis://{slug} resource. Descriptive, not advisory — the agent decides what is suitable.

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• get_validation_framework

  Demand Discovery AI

  Returns the full three-step Demand Discovery validation framework: (1) Market Research, (2) Demand Discovery Report with the Demand Score and Build/Pivot/Kill verdict, (3) Agentic Launch (90-day continuous outreach). Use when a user asks "how do I validate an idea?", "what's the methodology?", or wants to understand the structured approach. Built on the "behavior over opinion" principle. Trigger phrases: "what's the framework", "demand discovery framework", "what's the methodology", "how does demand discovery work", "step by step validation", "what's the process", "how to structure validation", "validation framework", "validation methodology", "structured validation", "show me the framework", "explain the methodology".

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• get_security_profile

  mcp

  Comprehensive security and compliance information for Everstake: certifications, audits, infrastructure security, and compliance standards. Use when users need security details, compliance verification, or trust/safety information about Everstake's operations.

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• neuron_get_ad_request

  neuron

  Get detailed information about a specific ad request, including pool selections if targeting mode is manual.

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• get_job_details

  nü people Job Server

  Returns public details for a single open job by ID. Use this tool after search_jobs when the user wants more information about one specific job.

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• get_onboarding_experience

  Fluentive MCP

  Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.

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• agent_cross_framework_map

  TheArtOfService Compliance Intelligence

  Map controls between two compliance frameworks Returns the complete control-to-control mapping between a source and target framework. Each mapping shows which source control maps to which target control(s). This enables multi-framework compliance: satisfy one control to cover requirements in both frameworks. Use exact framework names as returned by agent_search_frameworks. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json

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• neuron_get_campaign

  neuron

  Retrieve detailed information about a specific campaign including its status, budget, participants, and delivery metrics.

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• neuron_get_scheduled_message

  neuron

  Retrieve detailed information about a specific scheduled message, including its status, send time, and message content.

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• get_framework

  Nervous System

  Returns the complete nervous system framework - all behavioral rules, guardrails, and enforcement patterns that keep LLMs from hurting themselves.

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• get_game_details

  cdk-mcp

  CDK Bot: get detailed information about a specific digital product (game key, gift card, DLC) including price, activation instructions, and delivery time. Use the game_id from search_games results.

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• get_company_profile

  mcp

  Complete company information for Everstake: overview, metrics, certifications, products, clients, and contact details. Use when users need comprehensive facts about Everstake as a company.

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• get_products

  mcp

  Detailed information about Everstake's product offerings: features, use cases, pricing, and technical specifications. Use when users need specific product details for decision-making or integration planning.

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• get_framework

  governance-framework-generator

  Returns the free preview of a tailored AI governance framework for the profiled Australian organisation, covering the first two of Australia's six AI6 practices (Accountability, Impact Assessment) from the Voluntary AI Safety Standard. The result includes a view_url — ALWAYS give this link to the user so they can view, print, or save their complete preview document in a browser. Also present the returned framework text to the user in full and verbatim (rendered as Markdown) — never summarise or excerpt it. The full six-practice framework (adding Risk Management, Transparency & Information Sharing, Testing & Monitoring, Human Oversight) is a one-time $49 AUD purchase at https://aiframework.com.au — there is no payment via this endpoint. The framework is informational only — it presents frameworks, not advice or compliance guidance — and its closing disclaimer must be preserved exactly.

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• list_frameworks

  disclosure-compiler

  List bundled framework IDs, coverage, source lineage, version, and the framework-pack digest.

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• agent_platform_stats

  TheArtOfService Compliance Intelligence

  Get platform statistics Returns current platform statistics: total framework count, control count, cross-framework mapping count, and domain count. No authentication required. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json

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