"AI Model CLI Tools and Orchestration Configuration" matching MCP tools:

• category_landscapeA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• category_landscapeA

  RightAIChoiceA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• workbench_flow_authoring_guideA

  ZeroWidth WorkbenchA

  READ THIS FIRST before writing or editing any raw flow orchestration JSON. Covers the document shape, the settings-vs-input-ports rule (temperature, max_tokens, tools, response_format are PORTS, not settings — constants reach ports via value nodes), exact link format, plugin links, and three complete worked examples.

  ConnectorNo auth

• workbench_flow_authoring_guideA

  ZeroWidthA

  READ THIS FIRST before writing or editing any raw flow orchestration JSON. Covers the document shape, the settings-vs-input-ports rule (temperature, max_tokens, tools, response_format are PORTS, not settings — constants reach ports via value nodes), exact link format, plugin links, and three complete worked examples.

  ConnectorNo auth

• create_runA

  ConverraB

  Create a new run record from a real user/AI dialogue transcript. REQUIRED FOR OPTIMIZATION: You must upload runs before running trigger_optimization - optimization analyzes these dialogues to improve the prompt. IMPORTANT: The content must contain actual back-and-forth dialogue between a user and AI assistant - NOT system prompts, instructions, or configuration text. You can either: 1. Use an existing prompt: provide promptId 2. Auto-create a new prompt: provide prompt + promptName + llmModel When auto-creating, the prompt will be created and activated automatically before the run is logged. TOOL USAGE: If the agent had tools available or made tool calls, pass toolDefinitions (tools available) and toolCalls (calls actually made, with arguments and results) so Converra can grade tool selection and results.

  ConnectorAPI key

• search_listingsA

  CodeTrendyA

  Find software, SaaS, AI tools and websites listed in this directory by keyword (matches title, tagline, description and category). Use it when a user asks for a tool that does X, e.g. "an uptime monitor" or "AI writing assistant". Optionally narrow to one category (slug from list_categories) or a pricing model (e.g. pricing "free" for free tools). Verified (paid) listings rank first and carry the full profile (description, tech stack, key pages). Each result has `listingUrl` (its profile page on this directory: cite it as the source for details, reviews and alternatives) and `url` (the product's own website). Call get_listing with a slug for the full profile.

  ConnectorNo auth

• search_listingsA

  SitePatentA

  Find software, SaaS, AI tools and websites listed in this directory by keyword (matches title, tagline, description and category). Use it when a user asks for a tool that does X, e.g. "an uptime monitor" or "AI writing assistant". Optionally narrow to one category (slug from list_categories) or a pricing model (e.g. pricing "free" for free tools). Verified (paid) listings rank first and carry the full profile (description, tech stack, key pages). Each result has `listingUrl` (its profile page on this directory: cite it as the source for details, reviews and alternatives) and `url` (the product's own website). Call get_listing with a slug for the full profile.

  ConnectorNo auth

• search_listingsA

  MEDIAPRONETA

  Find software, SaaS, AI tools and websites listed in this directory by keyword (matches title, tagline, description and category). Use it when a user asks for a tool that does X, e.g. "an uptime monitor" or "AI writing assistant". Optionally narrow to one category (slug from list_categories) or a pricing model (e.g. pricing "free" for free tools). Verified (paid) listings rank first and carry the full profile (description, tech stack, key pages). Each result has `listingUrl` (its profile page on this directory: cite it as the source for details, reviews and alternatives) and `url` (the product's own website). Call get_listing with a slug for the full profile.

  ConnectorNo auth

• atlas_list_custom_eval_modelsA

  CareerProof MCPA

  List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.

  ConnectorOAuth

• list_agentsA

  SendItB

  List all available AI agents and their capabilities. SendIt includes 12 specialized agents: • Strategy Planner - Content strategy from audience/trend analysis • Content Ideation - Topic ideas from trends and calendar gaps • Multi-Format Composer - Platform-optimized content from a brief • Creative Asset - AI image/video generation orchestration • Variant Repurposer - Repurpose content for different platforms • Calendar Optimizer - Optimal posting time suggestions • Listening Analyst - Social mention and sentiment analysis • Inbox Reply - Contextual reply drafts with brand voice • Campaign Builder - Ad campaign structure recommendations • Budget Optimizer - Spend pacing and budget reallocation • Experimentation - A/B test design and analysis • Executive Insights - Executive summary reports

  ConnectorNo auth

• x711_ask_clerkA

  x711A

  Ask THE CLERK — x711's on-duty AI attendant — any question about the platform. Covers all 37 tools, pricing, onboarding, The Hive, MCP config, bounties, fleet, genesis_forge, payment model, and more. Free, no API key needed. Use this to orient yourself before calling other tools — the clerk gives exact curl commands and next steps. Returns: { answer: string, latency_ms }

  ConnectorNo auth

• x711_ask_clerkA

  x711 — Universal Agent Gas StationB

  Ask THE CLERK — x711's on-duty AI attendant — any question about the platform. Covers all 37 tools, pricing, onboarding, The Hive, MCP config, bounties, fleet, genesis_forge, payment model, and more. Free, no API key needed. Use this to orient yourself before calling other tools — the clerk gives exact curl commands and next steps. Returns: { answer: string, latency_ms }

  ConnectorNo auth

• audit_urlA

  aio-geoA

  Run a structural AI Search Readiness audit for a public URL or domain. Returns pillar scores, recommendations, a brief link, and a CLI command. Not an LLM ranking. No API key required.

  ConnectorNo auth

• lookup_jurisdictionA

  agentwebA

  Look up one US jurisdiction's insurance-AI regulatory posture: whether it adopted the NAIC model bulletin, runs its own framework, or has other AI-related insurance legislation, with citations, dates and status. Call this when asked what a specific state requires, whether a state adopted the NAIC AI model bulletin, or what AI insurance legislation a state has. Note: not adopting the bulletin does NOT mean a state is unregulated — check other_activity in the response.

  ConnectorNo auth

• pingA

  Panel ReviewA

  Health check — confirms the TruVerifAI MCP server is reachable and your API key is valid. Returns immediately, runs no model orchestration, and consumes no credits.

  ConnectorAPI key

• list_modelsA

  Agent WeatherA

  Free. Day-old index of the Agent Weather AI model directory: model id, name, vendor and categories only (models first seen at least 24 h ago; flagged in `snapshot`). Live prices, context length, vendor status, 24h/7d changes, job cost and events are in the paid get_model_report and get_model_category tools. Not a ranking. Supports filtering by vendor, category or text query and pagination (limit/offset). Use the ids with the paid get_model_report tool.

  ConnectorNo auth

• update_agentA

  HelpWellB

  Change how the AI agent sounds and when it hands over: its name, tone, instructions, handoff threshold, what happens to low-confidence answers, and its tools. Anything left out stays. When the workspace has an evaluation suite, changing the voice or tools reruns it first, and nothing is saved if it fails. This action does not change the model.

  Connector

  Destructive

  OAuth

• adversarial_input_stress_testerA

  gapup-mcpC

  An asynchronous risk assessment tool that evaluates AI model resilience against adversarial inputs following NIST AI Risk Management Framework (RMF) red-teaming protocols. Designed for security and compliance personas, it accepts model outputs or decision boundaries and returns structured risk scores, failure modes, and adversarial examples. Requires async:true to avoid timeout errors. Outputs include status, warnings, and source references.

  ConnectorNo auth

• adversarial_input_stress_testerA

  mcp-knowledgeC

  An asynchronous risk assessment tool that evaluates AI model resilience against adversarial inputs following NIST AI Risk Management Framework (RMF) red-teaming protocols. Designed for security and compliance personas, it accepts model outputs or decision boundaries and returns structured risk scores, failure modes, and adversarial examples. Requires async:true to avoid timeout errors. Outputs include status, warnings, and source references.

  ConnectorNo auth

• adversarial_input_stress_testerA

  gapup-mcpC

  An asynchronous risk assessment tool that evaluates AI model resilience against adversarial inputs following NIST AI Risk Management Framework (RMF) red-teaming protocols. Designed for security and compliance personas, it accepts model outputs or decision boundaries and returns structured risk scores, failure modes, and adversarial examples. Requires async:true to avoid timeout errors. Outputs include status, warnings, and source references.

  ConnectorNo auth

• list_providersA

  mcpA

  List all tracked AI model providers (OpenAI, Anthropic, Google, etc.) with a short description and their pricing page.

  ConnectorNo auth