"Connecting OpenAI Codex with antigravity concepts or technology" matching MCP tools:

• list_curated_flows

  Oecd

  List OECD dataflow refs we have pre-vetted, grouped by topic (gdp, labour, prices, finance, households, health, demographics, projections, tax, education, environment, technology). Pass the flow_ref to fetch_dataset. For everything else use search_dataflows or browse https://data-explorer.oecd.org.

  Connector

• get_account

  OpenAI Ads MCP

  Get the authenticated OpenAI Ads account. Use this first to verify that OPENAI_ADS_API_KEY works and to read account id, name, timezone, currency, and settings.

  Connector

• edgar_company_facts

  Edgar

  AUTHORITATIVE full XBRL fundamentals dump for a US public company by CIK. Returns every reported financial metric (hundreds of concepts: revenue, net income, assets, liabilities, EPS, cash flow lines, segment breakdowns) with annual and historical values pulled straight from the company's SEC filings — the official numbers, not estimates. Use when you need the complete fundamental picture vs. one metric (for one metric use edgar_company_concept). Large payload; agents typically use this once to discover available concepts then narrow to edgar_company_concept for follow-up queries.

  Connector

• call_creative_worlds

  Heista

  Heista's creative direction engine — same engine the Creative Director specialist runs internally, exposed over MCP. ONE-SHOT: give a brief, get N finished creative outputs. For back-and-forth refinement, or output shapes the `medium` enum below does not cover, use chat_with_creative_worlds instead. OUTPUT SHAPE switches on the `medium` arg: • omitted → N territory cards (default exploration). Each card sits on different psychology / craft / feel / world axis coordinates so the set spans the creative space rather than orbiting one insight. Card has: name, campaign line, 5-8 sentence pitch, one-sentence strategic bet, resolved axis state names, creative-director rationale. • `tvc` → N TVC scripts (15-90s — hook, arc, resolve, sound design, end line). • `billboard` / `ooh` / `print` → N out-of-home concepts (visual concept + line + placement rationale). • `social` → N social-video concepts (hook + format type + middle beat + payoff, optimised for Reels / TikTok / Shorts). • `activation` / `experiential` → N activation concepts (space design + user journey + peak moment + takeaway artifact). • `audio` → N sonic / radio concepts (sonic scene + voice + audio arc). • `campaign` → N full campaign platforms (insight → big idea → strategy → visual world → production roadmap). The engine can also produce manifesto / copy, naming, packaging, PR stunts, content series, brand positioning, partnerships — these output shapes are NOT in the medium enum, so use chat_with_creative_worlds when the user wants one of those. USE WHEN: user says "give me ideas / options / directions / territories", "what angles work for...", "show me three / five ways to...", "write a TVC for...", "draft billboard concepts for...", "I need fresh thinking on...". DO NOT USE to refine one existing direction (use chat tool), to critique work, for OKRs / internal docs / strategy decks, or anything outside advertising creative direction. INPUTS: brief (the creative problem, free text), count (2-6 concepts), optional brand_id (from list_brands or any create_powersource_* — when provided the engine grounds output in the brand's buyer tensions, voice, and selling points), optional medium (above), optional lens_hint (apply a playbook or signature move as a creative constraint), idempotency_key (safely retryable for 5 minutes). Returns the finished creative output as narrative text PLUS a structured array of resolved axis coordinates for programmatic use. Metered — typically 3-15 credits per call depending on count and brand context size. Charged after success on actual token usage.

  Connector

• secedgar_compare_companies

  secedgar-mcp-server

  Compare 2-10 named companies across 1-8 XBRL concepts, aligned on calendar periods. This is the middle shape between secedgar_get_financials (one company, one concept, full history) and secedgar_fetch_frames (one concept, one period, every reporting company) — reach for it when the question names the companies. One companyfacts read per company, resolved through the same frame dedup and tag priority as secedgar_get_financials so the numbers agree. Balance-sheet and entity-info concepts are filed as point-in-time values and align on the calendar year (annual) or quarter (quarterly) their snapshot falls in, so they sit in the same matrix as income-statement lines. The inline matrix covers the most recent periods up to `periods`, trimmed further when companies x concepts x periods is too large to return in one response; the full aligned series is materialized as df_<id> for growth rates and spreads via secedgar_dataframe_query. A company that fails to resolve is reported in failed_companies and the comparison proceeds with the rest, and a company that does not report a concept is reported in gaps with the tags that were tried — never interpolated or zero-filled. Off-calendar filers and unit mismatches are surfaced in caveats rather than silently mixed.

  Connector

• audit_stack

  Exploit Intelligence Platform — CVE, Vulnerability and Exploit Database

  Audit a technology stack for exploitable vulnerabilities. Accepts a comma-separated list of technologies (max 5) and searches for critical/ high severity CVEs with public exploits for each one, sorted by EPSS exploitation probability. Use this when a user describes their infrastructure and wants to know what to patch first. Example: technologies='nginx, postgresql, node.js' returns a risk-sorted list of exploitable CVEs grouped by technology. Rate-limit cost: each technology requires up to 2 API calls; 5 technologies counts as up to 10 calls toward your rate limit.

  Connector

• voice_transcribe

  WingmanProtocol Agent Gateway

  Transcribe short audio to text via OpenAI Whisper. BYOK ONLY (your own OpenAI key). Pass 'audio_url' (fetched SSRF-safely, ≤10MB) or 'audio_b64'. Sync — chunk long recordings. Returns {ok, transcript, chars}.

  Connector

• whoami

  framesail

  Verify the connection: the account email and plan behind the current credential. Call once after connecting — before creating anything — to confirm you're on the right account; costs nothing.

  Connector

• provision_resume

  EmailMCP

  Resume provisioning from where you left off. Automatically detects the current phase and advances: WireGuard connection → DNS setup → TLS → verification. Run this after each user action (connecting WireGuard, adding DNS records).

  Connector

• adw.adw_618

  AlpineDataWorks Intelligence Server

  Returns a 0-100 frontier-hardware research-momentum score (Semantic Scholar publication counts for quantum computing, solid-state batteries, and neuromorphic computing — 90-day windows vs. baseline, summed) with trend, z_score, per_variant_w0, and window_counts. Call when the user asks about emerging-tech R&D acceleration, quantum/battery/neuromorphic research trends, or pre-patent signals, or when timing deep-tech investment, corporate R&D strategy, or technology-scouting decisions. Updates: daily.

  Connector

• get_live_opportunity_feed

  GlobalGov — Government Procurement Intelligence

  A random sample of 12 records from the curated live feed of open defense/technology opportunities (multi-country, multi-source, deduplicated by country+source). Served entirely from a background-refreshed cache; if the cache is cold the tool returns a retryable 'warming_up' error rather than an empty list. No arguments. Requires a GlobalGov plan with API access (sign in with GlobalGov or connect an X-API-Key); anonymous callers get an 'unavailable_for_tier' result.

  Connector

• get_pet_request_info

  Codex Pets Registry

  Use when the user wants to request a new Codex pet or understand the public request form fields and reference image limits. Do not use to create, submit, update, or inspect private generation requests; no MCP tool exposes those operations. Use search_pets or get_pet for existing approved pets.

  Connector

• wikidata_search_entities

  wikidata-mcp-server

  Search Wikidata for items or properties by text query. Returns QIDs or PIDs with labels, descriptions, and match metadata indicating whether the hit was on a label or alias. Use type="item" for real-world concepts (people, places, works) and type="property" to find predicate P-IDs. The API returns no total count — pagination is offset-based with no result ceiling indicator.

  Connector

• get_movement_context

  Provenio — Art Intelligence

  Cost: ~0.5s. Concept node + linked artworks. Pass cross_tradition=true for hasFunctionalAnalog concepts (lotus↔rose). SINGLE CALL USUALLY SUFFICIENT. Use when: definitional context or iconography cluster. Do NOT use for artwork filters — use search_artworks.

  Connector

• post_v1_pro_chat_completions

  webbersites-x402-data-api

  OPENAI-COMPATIBLE chat completions, PRO tier — frontier models at one flat price, no API key, no account: gpt-5.2 (default), gpt-5.5, claude-sonnet-5, gemini-3.1-pro, gemini-3.5-flash. Same dialect as OpenAI — base_url https://api.webbersites.com/v1/pro works with any OpenAI SDK. Caps: 24,000 input chars, 1,024 output tokens, text-only, no streaming. The x402 payment IS the auth. ($0.05 per call, paid via x402)

  Connector

• fetch

  Dynamoi

  OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.

  Connector

• get_news_articles

  TensorFeed

  Get the latest AI news articles aggregated from 12+ sources (Anthropic, OpenAI, Google, HuggingFace, TechCrunch, The Verge, Hacker News, etc). Polled every 10 min, deduplicated, sanitized for prompt injection. Returns up to 200 articles with title, snippet, source, and publishedAt.

  Connector

• edgar_company_facts

  livedatalink

  Get structured XBRL financial facts for a company. Without 'concept', returns the top-level facts catalog (concepts the company has reported). With 'concept' (e.g. 'Revenues', 'Assets', 'EarningsPerShareBasic'), returns the time series of values for that concept.

  Connector

• embedding_similarity

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

  Compute text similarity using local algorithms (Bag of Words, TF-IDF, Character N-grams). No API key needed — runs entirely in-process. NOT real embeddings: for true semantic similarity with vector embeddings, use run_semantic_tests with mode="embeddings" and your OpenAI API key. Supports single pair or batch mode with pipe-separated pairs. Useful for RAG retrieval testing, semantic search evaluation, and text deduplication.

  Connector

• gdelt_get_tv_context

  gdelt-mcp-server

  Get the top co-occurring words and phrases from TV news clips matching a query — the vocabulary framing a topic on television. Returns the most frequent non-stopword terms from matching clips, with relative frequency scores (0–100, where 100 = the query term itself). Use to understand narrative framing, identify related concepts mentioned alongside a topic, or generate follow-up search terms. TV data spans 2009–October 2024.

  Connector