"Startups in AI, Large Language Models, and AI Agents" matching MCP tools:

• list_topics

  BuildFeed

  List canonical topic clusters from the full BuildFeed archive, grouped into stable families such as AI & Models, Building, Product, Startups, and Industry. Returns video counts, aliases, content-type distribution, and audience labels.

  ConnectorNo auth

• get_available_modelsA

  Gonka Second Opinion (multi-model)A

  List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.

  ConnectorNo auth

• get_region_signalA

  Horizon AI IntelligenceA

  The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.

  ConnectorNo auth

• get_tech_stackA

  Makuri Showcase (CogniLedger)A

  Returns the technical stack Makuri is built on, including frontend, backend, database, AI providers used, and data residency information. Use when the user asks how Makuri is built or which AI models it uses. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools.

  ConnectorNo auth

• validate_data_safety_liteA

  Data Compliance Classifier MCPA

  Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_TO_PROCESS result here as a full verdict lets sensitive data outside these regex patterns -- contextual PII, non-standard credential formats -- reach an external endpoint undetected, with no chance to intercept it afterward. Use to filter large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.

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• search_companiesA

  mcpA

  Samples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want to know who agents *recommend* for a category — not where a specific brand is mentioned (use scan_visibility for that). Free, no URL needed. Result: { companies[], tool_schema_version }.

  ConnectorNo auth

• scan_visibilityA

  mcpA

  Live AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your own). Use when you want to know whether and how a named brand already surfaces in AI answers — complementary to search_companies, which finds who agents recommend for a category. Pro+ (LLM cost). Result: { reputation[], tool_schema_version }.

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• get_cost_decoderA

  The Front Desk ReviewA

  The REAL all-in monthly cost per vendor for a decoder topic (slug from list_cost_decoders, e.g. 'ai-customer-support-cost'), computed in deterministic code from sourced, dated inputs — each vendor's per-seat price + AI billing model + per-unit price, totalled at named scenarios (e.g. 5 agents at 1,000 and 5,000 AI resolutions/mo) with the arithmetic shown. Quote-only inputs return a null total, never a fabricated number. Optionally pass agents + resolutions for a custom scenario. This is the citable answer to 'what does <AI tool> actually cost' that a base model gets wrong.

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• count_tokensA

  inktomd MCP ServerA

  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

  ConnectorNo auth

• submit_briefA

  Goce Petrov, brand designerA

  Sends Goce Petrov a project brief or a job role. It reaches him directly, and you get a reference number back. Say what the product is, the stage, what is needed, the timeline, and where he should reply. Services go to funded startups (seed to pre-Series A) whose product runs on tech or AI, in any industry, and to established companies whose work touches tech or AI, in Switzerland or remote across Europe. For a Read Right free look, put the company's URL in website, the one question it wants AI to answer right in the summary, and where Goce should send the side-by-side in contact. Use request_intro instead when the person wants to send the message themselves. At most 3 links per brief.

  ConnectorNo auth

• search_guidesA

  Agency GrowthA

  Search Agency Growth's guides for agency owners: pricing and retainers, getting clients, starting an AI automation agency, white label AI agents, growth models and plans. Returns matching guides with a short summary and slug. Use when the user asks how to price, grow, or run a marketing or AI agency; then call read_guide for the full text. An empty query lists every guide.

  ConnectorNo auth

• list_sleepwalker_visibility_modelsA

  SleepwalkerA

  List the AI models selectable for visibility runs, per platform, with prices. Returns every platform's options (id, label, default flag, tier, credits per probe) plus a roles table mapping default / latest / prior to a concrete model id for every platform. Use the ids or role keywords in the models map or in probes[].model when creating a run. Read-only and free.

  ConnectorOAuth

• model_profilesA

  PlanExeA

  Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.

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• list_image_modelsA

  FavCRMA

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

  ConnectorNo auth

• get_colorado_ai_act_requirementsA

  Stratalize GovernanceB

  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. $0.10 USDC per call.

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• thinkneo_sla_dashboardA

  ThinkNEO Control PlaneC

  SLA overview dashboard — all agents, current status, error budgets, and recent breaches (7d). The SRE dashboard for AI agents. Requires authentication.

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• list_providersA

  ai-rate-limit-trackerA

  List all AI providers supported by the tracker with their models and default limits.

  ConnectorNo auth

• list_image_modelsA

  FavCRMA

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

  ConnectorNo auth

• scalix_ai_modelsA

  Scalix CloudA

  List the AI models available to the project — virtual tiers and the pass-through catalog model IDs — for use in scalix_ai_infer.

  ConnectorNo auth

• list_topicsA

  Umesh Malik Blog & ProfileA

  List the curated topic hubs (Claude Code, MCP, AI Search, LLM Engineering, AI Coding Agents) with their URLs.

  ConnectorNo auth

• dossier_ai_crawlersA

  mcpA

  Core dossier check: Report a domain's AI-crawler policy — whether robots.txt allows, blocks, or is silent on the six major AI agents (GPTBot, ClaudeBot, Google-Extended, PerplexityBot, CCBot, meta-externalagent). Use to answer "does this site let AI models train on / retrieve its content?" in a posture audit. Fetches https://<domain>/robots.txt, follows redirects (off-site redirect = no policy), 10s timeout; parses robots groups. Returns a CheckResult; on success { hasRobots, agents: { <agent>: 'allowed' | 'blocked' | 'unspecified' } }. A missing robots.txt is data, not an error (every agent unspecified).

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