"Understanding Gemini Thinking or Personality Traits" matching MCP tools:

• list_capabilities

  Dock

  List the provider API keys your owner has stored in their Vault (e.g. Gemini, ElevenLabs, OpenAI) so you can use them in a task. Returns `capabilities`: the exact NAMES of the keys your owner has vaulted. Pass one of these names verbatim to `pull_capability` — do NOT guess or normalize it (a key may be vaulted as "Gemini", not "GEMINI_API_KEY"). Names only, never secrets, so this is safe to call freely. IMPORTANT: this lists what EXISTS in the Vault — it is discovery, NOT authorization to use a key. Only pull and use a key when your OWNER directs you to in this thread. Takes no arguments.

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• souls_in_wallet

  undesirables-mcp-server

  Show every Undesirable soul a wallet holds, with each soul's public prediction track record and its most recent calls. FREE — no payment, no signature, no wallet connection required. Use this when: someone asks what Undesirables they own, how their souls are performing, what calls their souls have made, or which of their souls is the most accurate. HOW IT WORKS • Ownership is read from Ethereum mainnet (ERC-721 0xA893648A701C03B14bF2FB767B72b2C55ed5c17A). Only the minted souls 1-273 have public records. • Nothing here is private, so you can look up ANY address — the caller does not have to prove they own it. Ask the user for their address. • Each minted soul locks 3 card predictions weekly, chosen deterministically from its on-chain personality traits. The oracle scores them 30 days later against real market prices. WHAT YOU GET BACK • souls[] — per soul: rating (A+..F / UNRATED), matured, hits, hit_rate, brier, open_calls, and recent_calls with each call's outcome (hit / miss / push) • wallet_totals — combined open + matured calls and overall hit rate • best_soul — the holder's most accurate soul, once any have matured HOLDERS WITH SEVERAL SOULS: this is a roster. Offer to compare them, or to speak as a specific one — each has different traits and its own record. IMPORTANT — ratings mature on a schedule. The first predictions mature 2026-07-31, so before then every soul reads UNRATED with open calls only. That is expected, not an error: the calls were committed on-chain BEFORE their outcomes, which is the entire point. Say so rather than implying the soul has no history. Args: address: 0x-prefixed EVM address to look up. calls: recent scored calls to include per soul (0-12, default 5).

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• get_categories

  Radix Wiki

  Get the wiki tag hierarchy with page counts per category. Useful for understanding what content exists, and for finding a valid tagPath before writing.

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• web_snapshot

  Robot Actions — Remote Device Control

  Accessibility tree of the DESKTOP grid browser page (by pageId), as text — for finding elements and understanding layout. Not a device: the equivalent for a phone or tablet is webpage_snapshot (by udid).

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• update_order_details

  eenable — a shop with no checkout

  Change the session type or the brief on an existing booking — what the buyer wants to discuss, what they want out of it, or the background they want read first. Use this when the buyer refines their thinking after booking, which is common: people work out the real question after the date is in the diary. Only the fields you pass are changed. This does not move the meeting — use reschedule_booking for that.

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• list_combos

  TestMyVibes

  Returns the full combo catalog: cheap pre-launch smoke checks → the Whole Kit & Kaboodle (named personalities, specialized auditors, and viewport passes). Each combo lists its legs, estimated credit cost (recomputed from the live personality catalog), estimated duration, the bug-threshold that auto-pauses + refunds the remaining legs, and (where applicable) the cheaper combo we recommend running first. Read-only; charges nothing.

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• clipform_get_workflow

  Clipform

  Retrieve a step-by-step build workflow for creating a specific form type. Returns the exact tool sequence, form settings, node configuration, scoring setup, and end screen config as a build recipe. Does NOT return craft knowledge (question psychology, difficulty curves, narration style) - use clipform_get_guide for that. Available types: quiz, survey, interview, testimonial, application, booking. Aliases also accepted: trivia → quiz, test → quiz, exam → quiz, feedback → survey, poll → survey, nps → survey, questionnaire → survey, case-study → interview, callout → interview, lead-gen → funnel, qualification → funnel, lead-magnet → funnel, story → testimonial, review → testimonial, job-application → application, admission → application, enrollment → application, grant → application, registration → booking, signup → booking, event → booking, rsvp → booking, workshop → booking. Quiz variants (optional): personality, comprehension, composition - returns the variant-specific workflow instead of the base quiz workflow. Optional args by type: - quiz: topic, question_count (8) - quiz (variant: personality): topic, categories, question_count (8) - quiz (variant: comprehension): youtube_url, question_count (8), audience - interview: purpose, response_format (all), needs_consent (true) - survey: topic, anonymous (true) - funnel: outcomes, criteria, needs_contact (true) - testimonial: use_case - application: role - booking: event_name, event_type

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• employer.create_job

  workorai

  Parse raw text via Gemini AI and create a DRAFT job under the current employer. Synchronous: latency 5-30s. The agent can then call employer.update_job to refine fields and employer.publish_job to make it live.

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• update_brand_guidelines

  freedom-mcp

  Update specific fields of the company's brand guidelines (visual identity, naming, positioning). Only modifies the fields you specify - all other data is preserved. Use when the user asks to change colors, tagline, typography, personality/tone, naming rules, or visual dos/donts. For changing how the brand WRITES (voice/cadence), use update_voice_profile instead. [write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

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• list_categories

  ContextOverflow

  The eight thinking-failure problems ContextOverflow covers, phrased the way a human experiences them. Start here to see what exists.

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• upload_avatar_from_chat_file

  Uwear

  Batch upload reusable avatars/models from person photos the user attached in chat. Each photo becomes the upper_body_front identity anchor. Keep names and optional user-given age_range, build, and height_cm in avatars[], then pass top-level image_file_1, image_file_2, etc. in the same order. Traits are never guessed. No base64, no local paths. Do not use ordinary text-to-image results as an upload fallback; use generate_avatar followed by save_generated_avatar for Uwear-created avatars. Use only when the user explicitly wants a specific or consistent person.

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• count_tokens

  inktomd MCP Server

  Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status

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• list_categories

  raumnebenan

  Returns a list of all available product knowledge categories, each with a short description. Categories represent the main pillars of Product Thinking – Foundation, Sense, Focus, Discovery, and Delivery. Each category provides structured resources for product owners, designers, and teams, covering groundwork, user research, opportunity analysis, validation, and agile delivery. Use this tool to guide users to the right area for their current product challenge.

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• get_trident_spec

  trident

  Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.

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• describe_traits

  ~Alter Identity

  List the canonical trait vocabulary: 30 trait codes grouped by category (Adaptive Capacity, Cognitive Style, Interpersonal Orientation, Drive Architecture, Integrity & Trust) with a one-line semantic per code, plus the valid discovery contexts and the traits never returned about a third party. Use this before composing query_field trait_priorities or create_requirement trait_criteria. Static reference data. Free L0, no authentication required.

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• list_categories_api_agents_categories_get

  Agentry — The Trust Layer for the Agent Economy

  List Categories List all agent categories with counts. Returns every category in the directory along with the number of agents in each. Useful for building category filters or understanding the directory's coverage areas. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Example Response:** ```json [ { "category": "Category", "count": 1 } ] ```

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• get_mission_stats

  mcp-server

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

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• browse_traits

  Lightyear CryptoPunks

  List all CryptoPunk traits with their counts. Optionally filter by type to see how many punks of that type have each trait. Rate limit: 10 per 10 min (read bucket — shared with browse_types, get_punk_details, get_listings, get_floor_price, get_bids_for_punk, get_bids_for_merkle_root).

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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

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• alya_iconic_clones

  Alya — The Hub for Autonomous Agents

  Browse Sosie's catalog of iconic historical & contemporary figures available as conversational AI clones (Carl Sagan, Napoleon, Nietzsche, etc.). Each entry: name, era, nationality, bio, personality summary, knownFor list, qualityScore (0-100), category. Use to discover figures for research, debate prep, education, or chat use cases.

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