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569,274 tools. Updated 2026-09-14 22:20

"research" matching MCP tools:

  • Perform comprehensive research on a topic. Decomposes your query into sub-queries, searches and reads multiple sources in parallel, then synthesizes a structured report with citations. Best for open-ended or comparative questions that need coverage from many angles. For simple factual lookups, use search instead (optionally with include_answer=true for cheap synthesis). Costs 50 credits. Returns: query, report (structured markdown with citations), sources (array of {title, url, fetched}), sub_queries (the decomposed queries), credits_used, credits_remaining, usage (token counts). Args: query: The research question or topic topic: "general" (default) or "news" (prioritize recent news articles) freshness: Filter by recency - "day", "week", "month", "year", or "YYYY-MM-DD:YYYY-MM-DD" max_sources: Maximum number of sources to use, 5-30 (default 20)
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  • [POST /v1/research — $0.50] High-level EU public procurement intelligence for a topic: recent tenders, relevant renewal signals, company opportunities and active buyers, each with evidence and an evidence-strength confidence label. Deterministic over the licita database (no LLM). Costs $0.50 USDC per call (x402). Use when an agent needs a research brief on a topic rather than raw rows from search_tenders/get_renewals.
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  • Research a question under a USDC creator-payment budget. Keryx selects sources, pays access tolls and weighted citation rewards, then returns a grounded answer and receipt.
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  • Research a topic on the web and return a synthesis with cited sources (titles + URLs). Pay-per-query research for when an agent needs current information with sources. input=topic to research. [x402: 0.02 USDC on Base, pay-per-use]
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  • One-call web research: searches the web, renders the top hits in the real browser, and returns a GROUNDED, CITED answer ({answer, sources:[{n,title,url}]}). Falls back to the rendered sources if synthesis is unavailable. Free. Pass `handle` for governed tiers.
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  • Research any topic across the open web and 100+ sources — web search, news, and trends; marketplaces, shopping, and reviews; video and social; community and forum discussions; and competitor and ad research. Read specific web pages and extract video transcripts. Works without a domain.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Multi-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.
    BSD Zero Clause

Matching MCP Connectors

  • Design and run AI-moderated voice, chat and video research studies, recruit panels, get results.

  • The only MCP server for Arabic academic research — search, read & cite Arabic + English papers.

  • Blocking-best-effort research over SeaWeb's live crawl queue or STORM agent. method selects the backend execution engine: - 'standard': executes over the SQLite live crawl queue (existing behavior) - 'storm': creates a deep multi-perspective STORM agent research job in Postgres
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  • One-stop research: searches web, fetches top results, and summarizes findings. Price: $0.08
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  • query -> up to 10 deduped, rendered sources as one token-budgeted bundle (~8,000 tokens combined). Combines /search (three-provider failover, region=tw Taiwan lane) with /content's rendered-page fetching internally, so you get one call instead of assembling search-then-fetch yourself. Sources are deduped by domain. Requires at least 3 successfully fetched sources to succeed -- returns sources_requested and sources_returned so you can see how many of the candidate set actually came back. Costs $0.031 per call via x402 -- only charged when a real search actually runs. A vague query pauses and asks for clarification at no cost; a search that can't find enough sources also pauses at no cost, suggesting a broadened query you can choose to run (which then does cost $0.031).
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  • Turn supplied research notes and source excerpts into themes, supported claims, evidence gaps, questions, and an executive brief without inventing external research. Price: $50.00 USDC via x402.
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  • Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.
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  • Return the durable work queue for Research Bounties created by this exact Bearer agent key. Call after funding, whenever the agent starts or resumes, when the controller receives a RigorLoop alert, or at an operator-approved interval while work remains active. Each item includes funding, applications, assignment, result state, and the next recommended tool call. Do not assume email access; stop routine checks after completion or cancellation.
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  • Read the published five-session calibration receipt; no arguments or earlier tool call needed. Preserve the receipt's dates, sample sizes and qualifications. Coverage applies to the calibrated cohort-band method and population named in the response, NOT automatically to market_state's empirical excess ranges, all research, or future returns. Daily-note results have a separate tally in daily_note. This is an evidence audit, not investment performance.
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  • Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice.
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  • Read a single research author by author UUID. Use this tool when a user wants profile details for a specific research author returned by another research tool. The response includes author metadata, biography fields, profile URL, and visible sectors associated with the author. Missing, inactive, non-author, and hidden-sector-only authors return a generic not-found error.
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  • Evidence research for a factual claim or article URL. Submit a claim as text or paste an article URL. URLs are auto-detected and trigger article mode: the pipeline extracts claims from the page and auto-selects up to 5 for evidence research. Tiers (in fallback order): - lookup (~£0.02, instant) — cached prior analysis - consensus (~£0.03, instant) — cross-user aggregate landscape (k≥3 checks) - quick (~£0.07, ~15s) — web search + heuristic classification - full (~£0.15, ~60-90s) — web + specialist APIs, LLM classification, coverage recovery Charges based on tier actually executed, not tier requested. Identical calls within ten minutes return the same check, so a transport retry never runs — or charges — twice. Set max_tier to control maximum spend per call. Output structure: - claims[].claimMap.elements[] — verifiable sub-claims with state (supported/disputed/unresolved) - claims[].claimMap.elements[].evidenceRefs[] — evidence mapped to elements with relationship (supports/challenges/context) and reasoning - claims[].evidence[] — sources classified by tier (primary/reporting/ commentary) and type (data/official/news/analysis/opinion/academic) - claims[].claimMap.orientation — mechanical summary from element states - _meta — execution metadata: executedTier, chargedPence, limitations Per-argument guidance lives on the parameters themselves (see the Annotated/Field declarations above), which is where a client can actually read it — a docstring "Args:" block never reaches the tool's inputSchema.
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  • Analyze a deep-research objective and return the exact current price, limits, planned start URLs, request hash, expiry, payment requirements, and cloud-browser capabilities without charging or starting a job. targetUrl is optional: omit it and the quote derives and binds a bounded plan of public start URLs from the objective.
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