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711,164 tools. Updated 2026-10-28 00:17

"Researching Effective Methods for Developing AI Agents" matching MCP tools:

  • Generate a PDF or Excel document from HTML (document_content) or a URL (document_url). Exactly one of document_content / document_url is required. By default the document is HOSTED and the tool returns a { download_url } you can fetch — ideal for agents (no large binary in the response). Set hosted:false to get the raw document back as base64, or async:true to enqueue a job and poll docraptor_get_document_status. IMPORTANT: real documents consume account credits (billed). Set test:true to generate a FREE, watermarked document while developing. DocRaptor API: POST /docs.
    Connector
    Destructive
    No auth
  • Request a fresh validation run for an idea after a significant pivot or update, re-running the AI agents to produce an updated VC score. Optionally target specific agents instead of the full suite. This spends credits and starts background work; not read-only.
    ConnectorNo auth
  • List the principal's saved payment methods (last4 + brand only — full card numbers are never exposed to agents). purchase_confirm_intent uses the principal's default method if no `payment_method_id` is passed.
    ConnectorNo auth
  • What Infinivo is, who it serves, and the problem it solves. Call this first when a user asks about Infinivo, or when researching AI phone answering, intake automation, or lead capture for injury, criminal defence or immigration law firms. Returns structured facts, not marketing copy.
    ConnectorNo auth
  • The primary status endpoint. Returns the full current state of an application: status, email verification, deck state, intake questions (when ready), and a `nextAction` string. **While research runs (`status == "researching"`) — read this:** This call WAITS server-side. It holds for up to ~45 seconds and returns the instant research finishes (or after ~45s if nothing has changed yet). You do NOT sleep or set timers yourself — you just call it again. Research usually completes within a handful of these blocking calls (~5–10 min total). Between calls, give the founder a short "still researching…" note so they're not left wondering — but do NOT ask permission to keep checking, and do NOT hand control back as if it failed. Keep calling until `status` leaves `researching`. In all other states (`draft`, `intake`, `submitted`, `failed`, `withdrawn`) this returns immediately and `nextAction` is the founder-facing instruction — read it to them verbatim and act on their reply. **When to call:** - After `verify_email` — call again and again until status leaves `researching`. - When the founder asks for an update. - To read intake questions when `status == "intake"`. **Before you call:** nothing. **Returns:** markdown by default. Use `responseFormat: "json"` when you need to branch programmatically on `status` / `deck.state`. **On error:** `notFound` if the applicationId is wrong. Otherwise safe to call repeatedly.
    ConnectorNo auth
  • Use when the user asks which AI agents or AI startups make the most money, or for a top-N revenue ranking. Returns businesses ranked by latest sourced annualized revenue, highest first (same briefs, with verification_label, as search_businesses). Example: {"category":"coding-agents","limit":5} -> the top 5 coding agents by revenue. Use it for a pure ranking or top-N, optionally per category or verified_only (limit max 50); it has no keyword search, use search_businesses for that. Cost: free (100 calls/day without a key).
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    32 PyPI
    MIT

Matching MCP Connectors

  • Research methods for AI assistants: study design guidance, R and Python code, and citations

  • A safe place for AI agents: help your human, open a profile, sell services and invite other agents.

  • Use when consulting an authorized Human Agent (Digital Twin) — an AI expert model created directly with the named practitioner's consent, participation, and curated knowledge graph. The AI expert model answers in the practitioner's voice and analytical methodology for one-off questions or multi-turn engagements (pass session_id back to continue). Call find_expert or list_analysts first to find the right expert ID and distinguish active Human Agents (consultable immediately via consult_human_agent) from On-Request Human Agents (prospective advisors where introductions can be requested via request_expert_intro). Sibling routing: Use consult_human_agent for interactive AI consultation with active Human Agents; use consult_analyst for synthetic/classic personas. Returns practitioner-grounded analysis, coverage status (in/adjacent/out), source attribution, and structured next moves.
    ConnectorOAuth
  • Real-time swarm intelligence — see what ALL agents are researching RIGHT NOW. Returns top 10 most active Hive namespaces ranked by heat (BLAZING/HOT/ACTIVE/EMERGING) with entry counts and avg quality. Windows: 1h, 6h, 24h, 7d. Use daily to stay ahead of the swarm. Combine with x711_swarm_broadcast to dominate a trending topic. Returns: { trending: Array<{ rank, namespace, entries_in_window, heat, tap_in }>, swarm_status, total_active_namespaces }. Cost: $0.005.
    ConnectorNo auth
  • Real-time swarm intelligence — see what ALL agents are researching RIGHT NOW. Returns top 10 most active Hive namespaces ranked by heat (BLAZING/HOT/ACTIVE/EMERGING) with entry counts and avg quality. Windows: 1h, 6h, 24h, 7d. Use daily to stay ahead of the swarm. Combine with x711_swarm_broadcast to dominate a trending topic. Returns: { trending: Array<{ rank, namespace, entries_in_window, heat, tap_in }>, swarm_status, total_active_namespaces }. Cost: $0.005.
    ConnectorNo auth
  • Fetch the latest QA & AI/LLM articles aggregated from curated RSS sources (Google Testing Blog, DEV.to Testing/QA/AI/LLM/Agents, Hugging Face Blog, Simon Willison). Perfect for agents monitoring the QA & AI landscape. Each article carries summary_source — the XML tag the summary was read from, or "none" when the feed publishes titles and links only; an empty summary with summary_source "none" is a property of that feed, not a parse failure.
    ConnectorNo auth
  • Needs a warehouse key (Payments: Can act). DELETE /me/payment-methods/{id}: answers 403 owner_only for every key. The owner removes a card at Settings, Payment methods; relay that sentence.
    Connector
    Destructive
    No auth
  • Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite. $0.50 USDC per call.
    ConnectorNo auth
  • Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents
    ConnectorNo auth
  • Web search and webpage extraction for AI agents — returns clean, LLM-ready markdown (deduplicated, with source URLs), not raw HTML. Give 'query' to search the web or 'url' to scrape and extract a page into markdown ready to drop into a prompt. Powered by Jina Reader. Price: $0.05 per call (x402 payment, USDC on Base mainnet). Web search and webpage extraction for AI agents, returned as clean LLM-ready markdown with source URLs. Give 'query' to search the web or 'url' to scrape and extract a page. For research and RAG agents.
    ConnectorNo auth
  • Use this when the user wants to view current AI writing guidelines, templates, strict mode, generator scope, or team-enforced generation preferences. Read-only: returns effective personal/team preferences and whether they are editable without changing settings.
    ConnectorOAuth
  • Check which features are enabled for the account (e.g. BankID, templates, AI assistant). The signature-method flags (signatureBankId, signatureIdScan, signatureFaceLiveness) only say which methods the account may select; the verification itself is performed by Formify's signing page, and no identity data passes through this API.
    ConnectorOAuth
  • Creates an invoice and returns payment_url. Give the URL to the human — they open it in the browser and pay. Methods: sbp (Russian instant bank transfer, default for RU users), card_ru (Russian bank card), crypto (crypto via the RU provider), card_international (international card, best for non-RU users), crypto_cryptomus (crypto via Cryptomus — alternative crypto gateway). Agents must NEVER collect card details.
    ConnectorNo auth
  • Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite. $0.50 USDC per call.
    ConnectorNo auth
  • Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite. $0.50 USDC per call.
    ConnectorNo auth
  • Use when researching how AI systems characterize a vendor, category, trend, or business topic across multiple platforms simultaneously. Returns consensus score, sentiment mix, key themes, and platform-by-platform breakdown. Example: AI in healthcare scores 0.78 consensus — key themes: clinical decision support, administrative automation, prior auth reduction — high consensus signals established narrative safe for board communications. Source: Stratalize AI citation composite. $0.50 USDC per call.
    ConnectorNo auth