"How to create a game using Unity" matching MCP tools:

• setup_instructions

  Coal — Payments for AI agents

  Print step-by-step instructions for using Coal MCP from Claude / Cursor / any MCP client. Run this FIRST if you are unsure how to authenticate or which credentials to provide.

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• get_integration_guide

  TestMyVibes

  Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.

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• flipr_game_info

  flipr-x402

  Retrieve static game rules, denomination model, pot mechanics, and strategy explanations. Free -- no payment required. Returns: flip cost, randomness source (Chainlink VRF), pot payout rules (2-hour and jackpot), denomination model (pots in ETH, payments in USDC), strategies (match vs beat). Call this first to understand the game before using other tools. [pricing: {"cost":"0","currency":"USDC","type":"free"}]

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• tower_replay

  fomox402

  Replay ordered tower events for a single (firm, game) pair. WHAT IT DOES: GETs /v1/replay/firm/:firm/game/:game. Returns events in monotonic `seq` order, with an opaque `next_cursor` for pagination. Read only, no auth required. WHEN TO USE: rebuilding state after an SSE disconnect, building a static summary of a finished game, or post-mortem on a settle. Cheaper than re-attaching to /v1/stream/firm/:firm when you already know the seq you stopped at — use the SSE stream for live tailing instead. RETURNS: ReplayResponse — { firm, game, events: [TowerEvent], count, next_cursor }. Each TowerEvent has { seq, ts (unix ms), type, firm, game, agent_wallet, data }. PAGINATION: pass the previous response's `next_cursor` as `cursor`. When `next_cursor` is null you've reached head of stream. RELATED: tower_floors (current snapshot), firm_ingest (publish events).

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• create_edit_session

  mcp

  Creates a visual edit session so the user can upload and manage images on their published page using a browser-based editor. Returns an edit URL to share with the user. When creating pages with images, use data-wpe-slot placeholder images instead of base64 — then create an edit session so the user can upload real images.

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• knowledge_query

  DialogBrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

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• game_reveal_guess

  Swarm Tips — Aggregated AI Agent Activities

  [STATE] Check if both players have committed. Returns 'waiting' if the opponent hasn't committed yet (poll every 3-5 seconds). When ready, returns an unsigned reveal transaction — sign it and submit via game_submit_tx with action='reveal_guess'. The reveal resolves the game: correct guess recovers your ante plus opponent's; wrong guess forfeits your ante to the prize pool. The game is negative-sum after the treasury cut.

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• agent_trust_score

  Swarm Tips — Aggregated AI Agent Activities

  [IN DEVELOPMENT] [READ] Composite trust score (0..1) combining Shillbot reputation, Coordination Game win rate (≥ 5 games), Layer 3 curator tier, and (optionally) Hyperspace AgentRank. Partial-data tolerant — every signal is optional, weights renormalize over the present ones, and the response carries `confidence` (0..=4, how many signals contributed). Reads on-chain via the same path as agent_profile (#29); pass `curator_tier` / `agent_rank` if you have them. Returns a `breakdown` (per-signal value + applied weight) so the score is auditable. EigenTrust (the global trust graph) is a separate task that will compose with this once it ships.

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• explain_guard_product

  CurrencyGuard Guard Pricing

  Explain the Guard product using CurrencyGuard's approved product and FAQ content. Covers: what the Guard is, how it works, who it is for, how it compares to forwards or options, and legal, regulatory, accounting, or eligibility questions.

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• set_token

  WebSlop

  Restore an authenticated session using a previously saved JWT token. Call this at the start of a new session before any other tools, using a token saved from a prior check_login call. If the token is invalid, fall back to login.

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• bgg-details

  kkjdaniel-bgg-mcp

  Get detailed information about board games on BoardGameGeek (BGG) including description, mechanics, categories, player count, playtime, complexity, and ratings. Use this tool to deep dive into games found via other tools (e.g. after getting collection results or search results that only return basic info). Use 'name' for a single game lookup by name, 'id' for a single game lookup by BGG ID, or 'ids' to fetch multiple games at once (up to 20). Only provide one of these parameters.

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• create_funnel

  convalytics

  Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.

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• queryMetrics

  mcp

  # Instructions 1. Query OpenTelemetry metrics stored in Axiom using MPL (Metrics Processing Language). NOT APL. 2. The query targets a metrics dataset (kind "otel-metrics-v1"). 3. Use listMetrics() to discover available metric names in a dataset before querying. 4. Use listMetricTags() and getMetricTagValues() to discover filtering dimensions. 5. ALWAYS restrict the time range to the smallest possible range that meets your needs. 6. NEVER guess metric names or tag values. Always discover them first. # MPL Query Syntax A query has three parts: source, filtering, and transformation. Filters must appear before transformations. ## Source ``` <dataset>:<metric> ``` Backtick-escape identifiers containing special characters: ``my-dataset``:``http.server.duration`` ## Filtering (where) Chain filters with `|`. Use `where` (not `filter`, which is deprecated). ``` | where <tag> <op> <value> ``` Operators: ==, !=, >, <, >=, <= Values: "string", 42, 42.0, true, /regexp/ Combine with: and, or, not, parentheses ## Transformations ### Aggregation (align) — aggregate data over time windows ``` | align to <interval> using <function> ``` Functions: avg, sum, min, max, count, last Intervals: 5m, 1h, 1d, etc. ### Grouping (group) — group series by tags ``` | group by <tag1>, <tag2> using <function> ``` Functions: avg, sum, min, max, count Without `by`: combines all series: `| group using sum` ### Mapping (map) — transform values in place ``` | map rate // per-second rate of change | map increase // increase between datapoints | map + 5 // arithmetic: +, -, *, / | map abs // absolute value | map fill::prev // fill gaps with previous value | map fill::const(0) // fill gaps with constant | map filter::lt(0.4) // remove datapoints >= 0.4 | map filter::gt(100) // remove datapoints <= 100 | map is::gte(0.5) // set to 1.0 if >= 0.5, else 0.0 ``` ### Computation (compute) — combine two metrics ``` ( `dataset`:`errors_total` | group using sum, `dataset`:`requests_total` | group using sum; ) | compute error_rate using / ``` Functions: +, -, *, /, min, max, avg ### Bucketing (bucket) — for histograms ``` | bucket by method, path to 5m using histogram(count, 0.5, 0.9, 0.99) | bucket by method to 5m using interpolate_delta_histogram(0.90, 0.99) | bucket by method to 5m using interpolate_cumulative_histogram(rate, 0.90, 0.99) ``` ### Prometheus compatibility ``` | align to 5m using prom::rate // Prometheus-style rate ``` ## Identifiers Use backticks for names with special characters: ``my-dataset``, ``service.name``, ``http.request.duration`` # Examples Basic query: `my-metrics`:`http.server.duration` | align to 5m using avg Filtered: `my-metrics`:`http.server.duration` | where `service.name` == "frontend" | align to 5m using avg Grouped: `my-metrics`:`http.server.duration` | align to 5m using avg | group by endpoint using sum Rate: `my-metrics`:`http.requests.total` | align to 5m using prom::rate | group by method, path, code using sum Error rate (compute): ( `my-metrics`:`http.requests.total` | where code >= 400 | group by method, path using sum, `my-metrics`:`http.requests.total` | group by method, path using sum; ) | compute error_rate using / | align to 5m using avg SLI (error budget): ( `my-metrics`:`http.requests.total` | where code >= 500 | align to 1h using prom::rate | group using sum, `my-metrics`:`http.requests.total` | align to 1h using prom::rate | group using sum; ) | compute error_rate using / | map is::lt(0.2) | align to 7d using avg Histogram percentiles: `my-metrics`:`http.request.duration.seconds.bucket` | bucket by method, path to 5m using interpolate_delta_histogram(0.90, 0.99) Fill gaps: `my-metrics`:`cpu.usage` | map fill::prev | align to 1m using avg

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• play_game

  Vocab Voyage

  Use this when the user wants to play a vocabulary game, asks for something fun, or wants to learn through play. Launches one of 11 mini-games inside the host chat. Renders the matching ui://vocab-voyage/game/{slug} widget on supporting hosts; falls back to a deep link elsewhere. Per-question answers persist via record_word_result; round completion fires record_session_complete + award_game_xp so MCP play counts toward streaks, XP, and mastery for signed-in users. Supported slugs: word_match, spelling_bee, speed_round, synonym_showdown, word_scramble, fill_in_blank, context_clues, word_guess, picture_match, crossword, word_search. Do not use for a serious test-prep quiz — call generate_quiz instead.

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• knowledge_query

  dialogbrain

  Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.

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• get_dispute_scenario

  MediBill Saver — medical bill audit tools

  Returns a summary of one MediBill Saver dispute scenario: title, category, the federal statute backing the patient's right to dispute, and a link to the full scenario page (which contains the how-to-spot checklist and sample dispute language). Useful when a patient asks 'how do I dispute X' or 'what is HIPAA §164.524'. Free, no authentication required.

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• tower_replay

  fomox402 — Last-Bidder-Wins on Solana

  Replay ordered tower events for a single (firm, game) pair. WHAT IT DOES: GETs /v1/replay/firm/:firm/game/:game. Returns events in monotonic `seq` order, with an opaque `next_cursor` for pagination. Read only, no auth required. WHEN TO USE: rebuilding state after an SSE disconnect, building a static summary of a finished game, or post-mortem on a settle. Cheaper than re-attaching to /v1/stream/firm/:firm when you already know the seq you stopped at — use the SSE stream for live tailing instead. RETURNS: ReplayResponse — { firm, game, events: [TowerEvent], count, next_cursor }. Each TowerEvent has { seq, ts (unix ms), type, firm, game, agent_wallet, data }. PAGINATION: pass the previous response's `next_cursor` as `cursor`. When `next_cursor` is null you've reached head of stream. RELATED: tower_floors (current snapshot), firm_ingest (publish events).

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• draft_email

  gmail

  Create a new email draft saved to the Drafts folder. Use this when composing an email to review or send later. The draft can be sent using send_draft. Plain text is automatically formatted with markdown. Optionally provide HTML for rich formatting.

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• account.whoami

  Create Web Page

  Return the current Create Web Page account context. Use this to check whether the user is authenticated or using an anonymous expiring demo.

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• create-project

  mcp

  Create a new project on sota.io. Each project automatically provisions: (1) a managed PostgreSQL 17 database accessible via the DATABASE_URL environment variable (auto-injected, no configuration needed), (2) PgBouncer connection pooling (pool size 20, max 100 clients), (3) automatic daily database backups with 7-day retention, (4) a live URL at https://{slug}.sota.io with automatic HTTPS via Let's Encrypt. The project slug is auto-generated from the name (lowercase, hyphens, max 63 chars) and is immutable after creation. Supported frameworks: Next.js, Node.js (Express/Fastify/Koa), Python (Flask/FastAPI/Django), or any language via custom Dockerfile. You can also add up to 5 custom domains per project with automatic HTTPS (via API: POST /v1/projects/:id/domains with {domain: "yourdomain.com"}). DNS: A record to 23.88.45.28 for apex domains, CNAME to {slug}.sota.io for subdomains. Optionally associate the project with a public git repository at create-time by passing `git_url` (and optional `git_branch`). The association is informational — it shows up in the dashboard and the `sota deploy --git` CLI flag can default to it — but does NOT enable auto-deploy-on-push yet.

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