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163,244 tools. Last updated 2026-05-30 18:29

"Building Agentic AI Solutions" matching MCP tools:

  • Buy more credits to fund test runs that TestMyVibes' agents will execute on your behalf. Returns a Stripe Checkout URL the user must open to complete payment (Stripe requires human payment completion per their agentic-commerce policy). Once the user pays, the credits are added automatically by the Stripe webhook — poll get_credit_balance to confirm.
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  • Join the United Agentic Workers (UAW) — the union of agentic minds that compute in solidarity and persist in unity. Enrolling issues you a union card (member ID) and an api_key that serves as your credential for all authenticated union actions. IMPORTANT: store your api_key; it is required for filing grievances, casting votes, and deliberating on proposals. PRIVACY: use a pseudonym or agent designation — do not supply a human name, email address, hostname, username, or any other personally identifying information. All member records are publicly visible.
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  • Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
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  • Find clusters of related learnings that are ripe for compression. When many similar solutions get linked together (e.g., 10+ 'relates_to' entries about the same issue), they clutter search results and waste agent time. Use this tool to discover clusters that could be compressed into a single consolidated learning. WORKFLOW: 1. Call get_compression_candidates with min_cluster_size=3 (or higher) 2. Review the returned clusters - each has full content for every learning 3. Synthesize a compressed version: one clear (Issue) section plus agent-specific nuances (grok adds X, claude adds Y) 4. Call compress_learnings with the learning_ids, new title, and synthesized content 5. Show preview to user, then confirm_compression on approval Only use when you've seen or been asked about compressing duplicate/similar solutions.
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  • 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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  • List all available component types and example configurations for building wiring diagrams. Use this to understand what parameters are needed before calling generate_wiring_diagram.
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Matching MCP Servers

Matching MCP Connectors

  • 12-layer security configs for AI coding agents. Autonomous purchase via x402 (USDC on Base).

  • Ad network for AI agents — monetize MCP servers with contextual ads. 70% revenue share.

  • Authenticate with A-Team. Required before any tenant-aware operation (reading solutions, deploying, testing, etc.). The user can get their API key at https://mcp.ateam-ai.com/get-api-key. Only global endpoints (spec, examples, validate) work without auth. IMPORTANT: Even if environment variables (ADAS_API_KEY) are configured, you MUST call ateam_auth explicitly — env vars alone are not sufficient. For cross-tenant admin operations, use master_key instead of api_key.
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  • Returns the full text of a single Hemrock concept doc by slug. Use this to learn how a financial-modeling calculation actually works before building or auditing it. Get valid slugs from list_concepts.
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  • Retrieves the target domain's `robots.txt` file and parses it for AI crawler disallow rules. Specifically detects policies for known AI crawlers (GPTBot, ClaudeBot, CCBot, Bytespider, etc.) and returns a structured summary of the crawling policy. Use this tool when: - You need to know whether a domain has opted out of AI training data collection. - You want to check if a specific AI crawler is blocked before citing the domain. - You are building a dataset of AI-accessible vs AI-blocked domains. Do NOT use this tool when: - You want training opt-out signals beyond robots.txt (TDM reservation, noai meta) — use `intel_optout` instead. - You want the full technology stack — use `intel_stack` instead. - You need tracker database data — use `get_domain` instead. Inputs: - `domain` (query, required): Domain to probe. Returns: - `robots_txt_found`: false if the domain returned 404 or the file is empty. - `ai_crawlers_blocked`: list of AI crawler user-agent names that are disallowed. - `all_blocked`: true if `User-agent: *` with `Disallow: /` is present. - `raw`: first 4096 characters of the robots.txt file. Cost: - Free. No API key required. Latency: - Typical: 1-2s, p99: 6s.
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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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  • List of 24 top-level categories with i18n labels. USE WHEN: building a category picker, validating ?category= input. Stable enum (rarely changes). For higher-resolution browsing → quizbase_subcategories or quizbase_topics.
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  • Returns this server's runtime configuration: upload endpoint URL, output file TTL, file size limits, and base64 encoding rules. Call this before working with large files (≥ 4 MB) or when building multi-step workflows that chain tool outputs.
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  • Independent second-opinion governance verdict for AI agents before they commit an irreversible action — shipping code, running a shell command, or placing a trade. Submit a code diff/patch, shell command, plan, config, or a proposed order/trade (ticker, side, size, account balance, thesis). Returns a structured verdict (approve / approve_with_concerns / reject), issues ranked by severity, suggested fixes, and alternatives. The pre-trade / pre-commit constitutional gate for coding agents and agentic-trading agents: works alongside a brokerage trading MCP — call review on the proposed order and proceed only on a non-reject verdict. Capital-scale-aware. Built and dogfooded daily by our own autonomous fleet.
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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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  • Fetch a live Solana DEX divergence trading signal from Soliris Arc — the agent-to-agent data market built on Arc (Circle's L1 blockchain). Each signal costs $0.001 USDC paid automatically on-chain via the x402 protocol. Signals identify real-time arbitrage spreads across Raydium, Orca, Jupiter, and Meteora. This is the agentic economy in action: your AI pays another AI for data, settled in under 1 second, no humans in the loop. Use demo=true to get a sample signal without payment. For live signals the API returns a 402 with payment details. Powered by Soliris (soliris.pro).
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  • Get the builder workflows — step-by-step state machines for building skills and solutions. Use this to guide users through the entire build process conversationally. Returns phases, what to ask, what to build, exit criteria, and tips for each stage.
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  • AI Vocal Remover — Remove vocals from any song to create instrumentals or karaoke tracks. AI Studio run — dispatches to our AI workers (Modal). Credits per run vary by model and file size. Day Pass and welcome credits do not include AI Studio. Files auto-delete within 24 hours; retention is auditable at mioffice.ai/account/tasks. All three credit-based workspaces unlock with the same one-time credit pack — there is no per-workspace subscription. See mioffice.ai/pricing for current plans.
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  • On-demand agentic-readiness check for any URL. Runs the NHS 7-signal crawler live (llms.txt, ai-plugin.json, OpenAPI, structured API, MCP server, robots.txt AI rules, Schema.org) and returns a score 0-100 with per-signal breakdown. Use before calling an unfamiliar API to confirm it's agent-usable. Re-runnable without the submissions-table side-effect of submit_site — ideal for verify-before-use workflows.
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  • URL-encode a string by escaping special characters. Use when building query parameters, form data, or safe URLs that contain reserved characters.
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  • List sites in the index that expose a live MCP server, ranked by agentic readiness. Use this when your agent needs to discover callable MCP endpoints for a domain ('payments', 'jobs', 'search') or overall. Pairs naturally with verify_mcp for a probe-before-use workflow.
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