"Methods to Communicate with AI Platforms: Litellm, GroqAI, and OpenAI" matching MCP tools:

• get_adoption_stage

  Stratalize Finance Intelligence

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.

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• add_api_route

  Hatchable

  Scaffold a file-routed api/ endpoint with the canonical handler shape. Produces api/<route>.js with: - default async (req, res) export - lib/db.js + lib/auth.js imports (depth-correct relative path) - requireAuth pattern when requires_auth=true - method dispatch + 405 fallback Example: add_api_route({ route: 'todos', methods: ['GET','POST'], requires_auth: true }) → POST/GET /api/todos Dynamic segments use [param]: add_api_route({ route: 'todos/[id]', methods: ['GET','DELETE'] }) → GET/DELETE /api/todos/:id (req.params.id)

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• t54_list_operations

  Agentic Swarm Marketplace (T54 x402 MCP)

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

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• get_adoption_stage

  Stratalize Crypto and DeFi Intelligence

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.

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• get_adoption_stage

  Stratalize AI Governance Intelligence

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.

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• get_colorado_ai_act_requirements

  Stratalize Finance Intelligence

  Use when building an AI governance compliance roadmap, advising on high-risk AI deployment obligations in Colorado, or briefing boards on upcoming US state AI regulatory requirements. Colorado SB 205 takes effect June 30, 2026 — the first comprehensive US state AI law. Returns developer and deployer obligations, high-risk AI system criteria, consumer rights, penalty structure ($20,000 per violation, AG enforcement), and comparison to EU AI Act. Example: AI-based loan underwriting system deployed in Colorado requires algorithmic impact assessment, plain-language consumer disclosure before first use, 3-year audit trail with AG access rights, and annual compliance certification — noncompliance triggers $20,000 per violation. Source: Colorado SB 205, enacted May 17, 2024.

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• rating_load_context

  website-search

  Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• get_supplier_info

  Last Minute Deals HQ

  Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

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• get_supplier_info

  Last Minute Deals HQ

  Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

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• licium_analyze_market

  Licium

  Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis

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• buy_credits

  VARRD — Statistically Validated Trading Edges + AI Research Engine

  Buy credits for the edge library and AI research. Default $5 minimum. Free — no credits consumed to call this. TWO PAYMENT METHODS: card (default): Returns a Stripe Checkout link for your user to click and pay. After payment, call check_balance to confirm credits were added. crypto: USDC on Base. Fully autonomous — no human needed. Three steps: 1. buy_credits(payment_method='crypto') → returns deposit address + payment_intent_id 2. Send USDC to the deposit address (use your wallet tool) 3. buy_credits(payment_intent_id='pi_...') → confirms payment, credits added instantly If you have wallet access, this is the fastest path — fully machine-to-machine.

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• get_adoption_stage

  Stratalize Real Estate Intelligence

  Public mode returns FS AI RMF framework reference data only — not org-specific scoring. Use when assessing an organization FS AI RMF governance maturity stage or preparing a regulatory AI roadmap presentation. Returns INITIAL, MINIMAL, EVOLVING, or EMBEDDED classification with stage criteria and remediation priorities. Example: EVOLVING stage organizations have documented AI policies but lack systematic model validation — typical gap to EMBEDDED is 18-24 months and 12-15 additional controls. Connect org MCP for org-specific scoring. Source: FS AI Risk Management Framework.

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• get_supplier_info

  LastMinuteDeals Booking API

  Returns information about the supplier network: available destinations, experience categories, booking platforms, and protocol details. Call this before search_slots to understand what regions and activity types are available.

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• username_lookup

  ContrastAPI

  Search for username across 15+ social/dev platforms (GitHub, Reddit, X/Twitter, LinkedIn, Instagram, TikTok, Discord, YouTube, Keybase, HackerOne, etc.). Use for OSINT investigations and identity verification. Free: 100/hr, Pro: 1000/hr. Returns {username, total_found, platforms: [{name, exists, url, status_code}]}.

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• get_sdk_reference

  Senzing

  Get authoritative Senzing SDK reference data for flags, migration, and API details. Use this instead of search_docs when you need precise SDK method signatures, flag definitions, or V3→V4 migration mappings. Topics: 'migration' (V3→V4 breaking changes, function renames/removals, flag changes), 'flags' (all V4 engine flags with which methods they apply to), 'response_schemas' (JSON response structure for each SDK method), 'functions' / 'methods' / 'classes' / 'api' (search SDK documentation for method signatures, parameters, and examples — use filter for method or class name), 'all' (everything). Use 'filter' to narrow by method name, module name, or flag name

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• tascan_list_issues

  TaScan

  List all issues for a task list (event). Returns open, acknowledged, and resolved issues with severity, type, and category. Use this to discover issues that need AI analysis via tascan_analyze_issue.

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• get_colorado_ai_act_requirements

  Stratalize Crypto and DeFi Intelligence

  Use when building an AI governance compliance roadmap, advising on high-risk AI deployment obligations in Colorado, or briefing boards on upcoming US state AI regulatory requirements. Colorado SB 205 takes effect June 30, 2026 — the first comprehensive US state AI law. Returns developer and deployer obligations, high-risk AI system criteria, consumer rights, penalty structure ($20,000 per violation, AG enforcement), and comparison to EU AI Act. Example: AI-based loan underwriting system deployed in Colorado requires algorithmic impact assessment, plain-language consumer disclosure before first use, 3-year audit trail with AG access rights, and annual compliance certification — noncompliance triggers $20,000 per violation. Source: Colorado SB 205, enacted May 17, 2024.

  Connector

• licium_analyze_market

  Licium

  Analyze a prediction market question. Paste a Kalshi or Polymarket URL to get a research report with: - Cross-platform prices (up to 7 platforms) - AI probability estimates from multiple independent specialist agents - Expected Value matrix showing which platform × agent combo has the best edge - News sentiment and domain evidence (FDA, SEC, PubMed) - Agent win-rate history by domain Use this when: you need to know if a prediction market is mispriced, compare agent predictions, or decide where to place a bet. EXAMPLES: "https://kalshi.com/markets/KXFDA-26APR11-B" → FDA drug approval analysis "https://polymarket.com/event/will-trump-win-2028" → election analysis

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• get_chat

  Peec AI MCP Server

  Get the full content of a single chat (one AI engine's response to one prompt on one date). Returns: - messages: the user prompt and assistant response(s) - brands_mentioned: brands detected in the response with their position - sources: URLs the model retrieved, with citation counts and position - queries: search queries the model issued - products: product gallery entries extracted from the response - prompt: { id } - model: { id } — deprecated, prefer model_channel - model_channel: { id } — stable engine channel id (e.g. "openai-0") Use list_chats to discover chat IDs for a project.

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• ceevee_chat

  CareerProof MCP

  Send a message to CeeVee AI assistant for CV optimization guidance (2 credits). Requires a cv_version_id (use ceevee_upload_cv or ceevee_list_versions to get one). Returns AI response with optional edit suggestions, source citations, and a conversation_id. Omit conversation_id to start a new conversation; include it to continue a thread.

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