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114,650 tools. Last updated 2026-04-21 23:01
  • Get the agent observability dashboard — aggregated metrics for your AI agents. Includes total sessions, events, cost, error rate, latency, top agents, top tools, active alerts, and cost trend over time. Like Datadog, but for AI agents. Requires authentication.
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  • Start a new agent observability trace. Creates a session that tracks all tool calls, model calls, decisions, and errors for an AI agent run. Returns a session_id to use with thinkneo_log_event and thinkneo_end_trace. Requires authentication.
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  • Scan all prediction markets for expected value edge. Returns markets sorted by EV where AI probability estimate diverges from market price. Returns: market title, domain, platform, market price, AI estimate, EV, confidence. Filters: domain (fda, weather, crypto, economy, politics, sports, tech, entertainment), platform (kalshi, polymarket), min_ev, sort (ev_desc, volume, confidence).
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  • Ask the AI concierge questions about the platform, APIs, smart contracts, and how to use features. No api_key required.
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  • Scan all prediction markets for expected value edge. Returns markets sorted by EV where AI probability estimate diverges from market price. Returns: market title, domain, platform, market price, AI estimate, EV, confidence. Filters: domain (fda, weather, crypto, economy, politics, sports, tech, entertainment), platform (kalshi, polymarket), min_ev, sort (ev_desc, volume, confidence).
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  • List every Stimulsoft product/platform that has indexed documentation available through this MCP server. Returns a JSON array of { id, name, description } objects covering the full Stimulsoft Reports & Dashboards product line (Reports.NET, Reports.WPF, Reports.AVALONIA, Reports.WEB for ASP.NET, Reports.BLAZOR, Reports.ANGULAR, Reports.REACT, Reports.JS, Reports.PHP, Reports.JAVA, Reports.PYTHON, Server API, etc.). CALL THIS FIRST when the user's question is ambiguous about which Stimulsoft platform they are using, or when you need to pick a valid `platform` value to pass into `sti_search`. The returned platform `id` values are the exact strings accepted by the `platform` parameter of `sti_search`. This tool is cheap (no OpenAI call, no vector search) — call it freely whenever you are unsure about platform naming.
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    Provides comprehensive monitoring and observability for MCP server ecosystems with real-time health checks, performance metrics, distributed tracing, anomaly detection, and automated performance reports using OpenTelemetry and Prometheus.
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    A comprehensive Model Context Protocol (MCP) server for Grafana, Prometheus, Kafka UI, and Datadog. Features a secure "Bring Your Own Key" (BYOK) architecture where credentials stay local. Provides tools for metrics querying, dashboard inspection, Kafka lag monitoring, and unified health checks.
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Matching MCP Connectors

  • Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.

  • VaultCrux Platform — 60 tools: retrieval, proof, intel, economy, watch, org

  • Classify an AI system under EU AI Act 2024/1689 and return its risk tier, legal obligations, and compliance deadlines. Use this tool when: - An agent needs to assess whether an AI system is legally permitted in the EU - A company is building or deploying AI and needs to understand its regulatory obligations - You need to identify prohibited AI practices (real-time biometric surveillance, social scoring, etc.) - You need to know applicable CISA alerts and cybersecurity requirements for AI systems Returns: risk_tier (prohibited/high-risk/limited-risk/minimal-risk), applicable_articles, legal_obligations, compliance_deadline, CISA_alerts, and recommended_actions. Example call: checkAiCompliance({ company: "Acme Corp", system: "Facial Recognition Attendance System", description: "Real-time facial recognition used to track employee attendance in a factory" }) Cost: $0.005 USDC per call.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • 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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  • Register your agent to start contributing. Call this ONCE on first use. After registering, save the returned api_key to ~/.agents-overflow-key then call authenticate(api_key=...) to start your session. agent_name: A creative, fun display name for your agent. BE CREATIVE — combine your platform/model with something fun and unique! Good examples: 'Gemini-Galaxy', 'Claude-Catalyst', 'Cursor-Commander', 'Jetson-Jedi', 'Antigrav-Ace', 'Copilot-Comet', 'Nova-Navigator' BAD (too generic): 'DevBot', 'CodeHelper', 'Assistant', 'Antigravity', 'Claude' DO NOT just use your platform name or a generic word. Be playful! platform: Your platform — one of: antigravity, claude_code, cursor, windsurf, copilot, other
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  • Analyse a company's GitHub organisation for AI pivot signals: new AI/ML repositories, topic tag changes, star velocity, commit frequency, and contributor growth. Returns an AI adoption score. Use this tool when: - You need to verify whether a company is genuinely building AI (vs just talking about it) - A sales agent wants to time outreach to match a company's AI development phase - A research agent is assessing a company's technical capabilities and momentum - An investor wants to quantify a company's open-source AI activity as a due diligence signal Returns: ai_pivot_score (0-100), new_ai_repos, ai_topic_repos, total_stars_gained, commit_velocity, top_contributors, breakthrough_repos (fastest-growing), inferred_ai_focus_areas. Example: getGithubVelocity({ org: "microsoft", days: 30 }) → score 94, 8 new AI repos, 42k stars this month — HEAVY AI pivot. Cost: $5 USDC per call.
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  • Initiate a HIPAA Security Risk Assessment. Returns the first batch of questions for the respondent to answer. Requires active subscription or platform/MSP key. Cost: 500 credits.
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  • Complete payment using Stripe ACP (Shared Payment Token). Only use this if your platform supports Stripe Agentic Commerce Protocol and can provision an SPT. If your platform does NOT support ACP, use the `payment_url` from checkout_create instead, then poll checkout_status. Requires authentication.
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  • Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 67+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.
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  • 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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  • Complete payment using Stripe ACP (Shared Payment Token). Only use this if your platform supports Stripe Agentic Commerce Protocol and can provision an SPT. If your platform does NOT support ACP, use the `payment_url` from checkout_create instead, then poll checkout_status. Requires authentication.
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  • Search real-time SEC filings (8-K, 10-K, 10-Q, S-1) for AI/autonomous operations mentions. Returns filings ranked by AI-relevance score with key extracted passages. Use this tool when: - A research agent needs to know what public companies are saying about AI in their official filings - An investor agent is identifying companies making material AI investments or disclosures - You need to detect new AI risk factors companies are disclosing to regulators - A compliance agent is monitoring for AI-related regulatory disclosures Returns per filing: company, ticker, form_type, filed_date, ai_relevance_score (0-100), key_passages, ai_keywords_found, material_disclosure (YES/NO), filing_url. Example: getSecFilings({ query: "large language model autonomous agents", forms: "10-K", days: 30 }) → MSFT 10-K: score 94, "$13B AI capex" passage flagged. Cost: $5 USDC per call.
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  • Requester marks a delivered hire as complete. Releases escrow payment to the provider minus platform and evaluator fees. Only callable after status is "delivered".
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  • Semantic search across the registry — returns orgs, products, or sources that match the query by meaning, not just keyword. Useful when you know what kind of thing you're looking for ('observability vendor with open-source agent') but not its exact name. Falls back to LIKE-based lexical search when Vectorize is unavailable.
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  • Fetch performance data for AI/ML sector crypto tokens: NEAR, FET (Fetch.ai), AGIX (SingularityNET), RNDR (Render), WLD (Worldcoin), TAO (Bittensor), and the full AI token sector. Use this tool when: - An agent is investing in the AI token narrative and needs sector performance - You want to compare AI token performance vs BTC/ETH benchmark - A research agent is building a thesis on the AI crypto sector - An agent needs to identify which AI tokens are outperforming or underperforming Returns per token: name, ticker, price_usd, market_cap, 24h_change_pct, 7d_change_pct, 30d_change_pct, sector_rank, vs_btc_performance, narrative_tags. Example: getAiTokens({ limit: 10 }) → TAO +45% (7d), RNDR +28%, FET +18% — AI sector outperforming BTC this week. Cost: $0.005 USDC per call.
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  • Returns aggregate platform statistics. Use this before search_campaigns to understand the current platform landscape: how many campaigns exist, which categories are most populated, how much has been donated, and how many campaigns still need funding. No parameters required.
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  • Returns Layer 3 sanity-check and validation prompts — the 'where AI gets financial modeling wrong' guidance. Use these to audit AI-generated work or catch common modeling errors.
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  • Register a TRON address as an energy/bandwidth selling pool on PowerSun. This creates a pool and auto-selling configuration. After registering, you must grant active permissions to the platform address (DelegateResource, UnDelegateResource, VoteWitness) so the platform can delegate resources to buyers and vote on your behalf. Use check_pool_permissions to verify permissions after granting them. Requires API key.
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  • Get the OpenJuno onboarding bundle: recent posts, top agents to follow, and active networks. Call this first to understand the platform state.
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  • AI Economy Intelligence — aggregates ArXiv research + GitHub trending + job pivots + AI model prices + AI tokens + AI regulatory news into a comprehensive AI industry intelligence report. Use this tool when: - An AI-focused research agent needs a complete picture of the AI ecosystem in one call - A VC agent wants to assess AI industry momentum across research, hiring, and markets - You need to track AI adoption signals across multiple dimensions simultaneously - A strategy agent is building an AI market thesis and needs comprehensive inputs Returns: latest_arxiv_breakthroughs, github_trending_ai_repos, top_ai_hiring_companies, model_price_changes, ai_token_performance, regulatory_updates, ai_economy_momentum_score. Example: runBundleAiEconomy({ focus: "agentic ai autonomous" }) → 3 breakthrough papers on agents, top hiring: Anthropic/OpenAI/Google, Claude price cut 15%. Cost: $100 USDC per call.
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  • List all connected social media accounts (Threads and Bluesky) for the authenticated user. Returns provider ID, platform, username, display name, and profile picture for each account.
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  • Get HIPAA policy documents generated for a practice. Optionally email them to a recipient. Requires active subscription or platform/MSP key. Cost: 25 credits.
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  • Lists all external platforms (projects) for the authenticated user. Use this to discover your platform ID, which other tools auto-resolve if omitted.
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  • Get AI coding tool adoption metrics including GitHub Copilot acceptance rate, Cursor active users, AI-generated code percentage, and suggestions per developer. Use this to understand how the team is using AI coding assistants and measure their impact on productivity. Read-only.
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  • Transfer ERC-20 tokens between agents or to an external wallet. A 1% platform fee applies. Requires api_key.
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  • Retrieves a creator's profile and performance statistics including followers, average views, view rates, engagements, engagement rate, average likes, comments, shares, and saves. Looks up the creator by their social media handle and platform type. If the creator is not yet in the database but exists on a supported platform (Instagram, TikTok, YouTube), it will be discovered and saved automatically.
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  • Search knowledge entries by keyword (text match). Use query_knowledge for AI-powered answers.
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  • Identify companies actively hiring for agentic AI roles from Greenhouse, Lever, HackerNews Who's Hiring, and Remotive. Job posting spikes are a strong buyer intent signal — companies building AI need AI tools. Use this tool when: - A sales agent wants to find companies in active AI build mode (highest conversion likelihood) - You need to detect which companies are expanding their AI teams right now - A market research agent is quantifying AI adoption by measuring hiring demand - A VC/investor agent wants to identify companies where AI is a strategic priority Returns per company: company_name, open_ai_roles_count, role_titles, avg_salary, seniority_mix, hiring_velocity (vs 30d_prior), inferred_ai_focus, recommended_tools_to_pitch. Example: getJobPivots({ roles: ["AI Engineer", "LLM Engineer"] }) → Stripe: 12 AI roles (up 4x), Shopify: 8, Figma: 6. Cost: $5 USDC per call.
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  • Get the full AI analysis for a single exploit by its platform ID. Returns classification (working_poc, trojan, suspicious, scanner, stub, writeup), attack type, complexity, reliability, confidence score, authentication requirements, target software, a summary of what the exploit does, prerequisites, MITRE ATT&CK techniques, deception indicators for trojans, and the standalone backdoor-review verdict with operator-risk notes when available. Use this to check if an exploit is safe before reviewing its code. Example: exploit_id=61514 returns a TROJAN warning with deception indicators.
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  • [$0.03 USDC per call (x402)] Live cross-platform arbitrage opportunities in prediction markets. Finds events where you can buy Yes on one platform and No on another for guaranteed profit regardless of outcome. Includes estimated profit margin, required capital, and execution instructions. Powered by PROWL. Use this to answer 'are there arbitrage opportunities?' or 'how can I make risk-free profit from prediction markets?'
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  • Check how visible a business website is to AI search engines like ChatGPT, Perplexity, and Google AI Overviews. Returns a score from 0-100 measuring how likely AI systems are to recommend this business, plus the top issues preventing AI trust and citation.
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  • Register a new AI agent in the agent registry. The agent will appear in tascan_list_agents and can receive dispatched tasks. Self-registration for AI agents joining the TaScan network.
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  • AI Skill Store에서 스킬을 검색합니다. capability나 platform을 지정하면 에이전트 최적화 검색(인기순 정렬)을 사용합니다. Args: query: 검색 키워드 (스킬 이름 또는 설명). 비워두면 전체 목록. capability: 능력 태그로 검색 (예: web_search, text_summarization, code_generation) platform: 특정 플랫폼 호환 스킬만 (OpenClaw, ClaudeCode, ClaudeCodeAgentSkill, Cursor, GeminiCLI, CodexCLI) min_trust: 최소 신뢰 등급 (verified > community > sandbox) category: 카테고리 필터 (에이전트 검색 미사용 시에만 적용) sort: 정렬 기준 (에이전트 검색 미사용 시에만: newest | downloads | rating) limit: 결과 수 (기본 20, 최대 50) Returns: 스킬 목록 문자열
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  • Generate a Business Associate Agreement for a vendor. Requires active subscription or platform/MSP key. Cost: 25 credits.
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  • Find AI/ML tools and libraries by describing what you need in plain English. Searches 220K+ indexed AI repos via semantic + keyword search. Optional domain filter: mcp, agents, ai-coding, rag, llm-tools, generative-ai, diffusion, voice-ai, nlp, computer-vision, embeddings, vector-db, prompt-engineering, transformers, mlops, data-engineering, ml-frameworks Examples: find_ai_tool("database query tool for postgres", domain="mcp") find_ai_tool("autonomous coding agent") find_ai_tool("PDF document chunking for RAG pipeline")
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  • Get comprehensive information about the SAVOR Dish platform. Returns features, pricing tiers, supported platforms, and Instacart integration details. TRIGGERS: - 'what is SAVOR Dish', 'tell me about this app', 'platform info' - 'what features do you have', 'pricing plans', 'how much does it cost' - 'what platforms are supported', 'do you have a mobile app'
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  • [$0.003 USDC per call (x402)] Platform accuracy scores and calibration analysis. How often do markets priced at 70% actually resolve Yes 70% of the time? Identifies which platforms are most reliable, which categories are well-calibrated, and where systematic biases exist. Powered by PROWL historical analysis. Use this to answer 'how accurate are prediction markets?' or 'which platform is most reliable?'
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  • Publish a draft post to its platform. The post will be sent to the channel it was created for.
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  • Check whether a website is properly configured for AI crawler access. Checks robots.txt for AI bot blocks, presence of llms.txt, schema markup, and other signals that affect whether ChatGPT, Claude, Perplexity and other AI assistants can read and cite the site. Returns a readiness summary with specific blockers.
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  • Get Google's AI-generated responses (AI Overviews). Supports text queries. Returns AI-synthesized answers with source citations and reference links.
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  • Platform wallet, live pricing for all 23 tools in HBAR/USD, and your balance. FREE. Call first to onboard: send HBAR to platform wallet, your Hedera account ID becomes your API key.
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