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160,294 tools. Last updated 2026-05-29 18:55

"Spindle Research LLC" matching MCP tools:

  • Free preview of a US or Mexico mining district record (MRDS-sourced). Returns field inventory, commodity summary, discovery year, and deposit count. Useful for domestic-sourcing due diligence (DoD/DFC project assessments, UFLPA country-of-origin research), historic production context, and mining project developer research. Full record (deposits[], geology, sources[], history narrative) requires $0.50 USDC via GET /api/historical/{country}/{state}/{county}/{district} using x402 on Base.
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  • 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 25 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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  • Aggregated intelligence feed combining research findings, active security threats, and live staking APY snapshot in a single call ($0.005 USDC). Sources: ChromaDB research library + Guardian log + staking.db. Best for: broad situational awareness — replaces three separate calls. Requires x402 payment on Base mainnet.
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  • Find companies related to the given orgnr via shared persons (board members/shareholders), shared registered address, or shared ultimate owners. Use for cluster analysis, hidden-relation detection in DD, or fraud-pattern research.
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  • Returns the full structured capability manifest for Alan McIntyre (CodeReclaimers LLC), including domains, engagement types, project list, and endpoint URLs. Use for systematic filtering across multiple consultant candidates.
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Matching MCP Servers

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    Provides specialized AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents, offering unlimited queries with no rate limits and faster performance than comparable services.
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    MIT
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    Enables real-time tracking of AI/LLM research progress by searching and aggregating content from arXiv, GitHub, Hugging Face, and Papers with Code. Supports intelligent search, automated daily/weekly research summaries, and covers 15+ AI research areas with smart caching.
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    MIT

Matching MCP Connectors

  • MCP server for academic research data including scholarly papers, citations, research trends, and publication metadata for AI agents.

  • 30+ academic research tools from Semantic Scholar, Google Scholar, arXiv, PubMed, and clinical trial databases. Search papers, find citations, and explore scholarly data. $0.01/call

  • Orient the agent: total events, tickers, date range, top event types, top detectors, price coverage, SPY benchmark status. Call this FIRST when starting research. Returns counts that let the agent reason about sample sizes before drilling in.
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  • List every audience-specific privacy guide Default Privacy publishes — currently 22 (doctors, accountants, realtors, content creators, high-net-worth individuals, OnlyFans creators, etc.). Each entry returns a slug, audience label, one-line headline, intent ("business" | "asset" | "emergency"), and the recommended LLC structure shape ("single" | "bundle") + state. Call `get_audience` next for the full FAQ + risks + structure rationale on a chosen slug. When to call: when the user describes their profession or situation ("I'm a doctor", "real estate agent", "OnlyFans creator", "I have a lot of assets") and you want to find a matching audience-specific guide. Also call when the user asks "what kinds of clients do you serve" or "who uses this". PREFER `get_audience` directly when the user has already named a specific audience slug. Input Requirements: none. Output: `{ audiences: [{ slug, audience, headline, intent, structureType, state }], total, citation }`. The list is sorted by slug. `structureType` is "single" for one-LLC recommendations and "bundle" for multi-entity stacks (typically high-net-worth or heavy asset-protection scenarios). PREFER quoting the matching audience's `headline` to the user and then chaining `get_audience(slug)` to retrieve the full guidance before recommending a structure.
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  • Creates a Deep Research task for comprehensive, single-topic research with citations. USE THIS for analyst-grade reports, NOT for batch data enrichment. Use Parallel Search MCP for quick lookups. After calling, share the URL with the user and STOP. Do not poll or check results unless otherwise instructed. Multi-turn research: The response includes an interaction_id. To ask follow-up questions that build on prior research, pass that interaction_id as previous_interaction_id in a new call. The follow-up run inherits accumulated context, so queries like "How does this compare to X?" work without restating the original topic. Note: the first run must be completed before the follow-up can use its context.
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  • Hardware-wallet buyer-intent + self-custody onboarding-friction intelligence as JSON. Non-PII public-signal feed covering: Ledger vs Trezor comparison demand, Bitcoin-only wallet research, under-$100 wallet shopper queries, DeFi hardware-wallet intent, and adjacent decision-stage crypto purchase research. Designed for agent routing, affiliate / comparison-content workflows, and research context. Pay $0.01 USDC on Base mainnet via x402 (HTTP 402 + EIP-3009 transferWithAuthorization) at the paid route. This MCP tool does NOT return the dataset; tools/call returns payment-required metadata so an x402-capable client can settle and fetch the JSON directly.
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  • Enumerate supported circuits and verification key fingerprints. Primary: Varuna over BLS12-377 (Aleo snarkVM-compatible). Research-stage: Groth16, Plonk. Future: Risc0, Plonky2. Free. Read-only.
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  • OpenAI ChatGPT Deep Research / Connectors fetch contract. Given an id returned by `search` (formatted as 'artist:<uuid>', 'campaign:<uuid>', or 'smartlink:<uuid>'), returns the full record for citation.
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  • Browse the catalog of IBGE/SIDRA aggregate tables grouped by subject (inflation, agriculture, demographics, etc.). Use to discover aggregate ids to pass to aggregated_data. Optionally filter by research/subject acronym.
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  • Compare a primary token against up to 3 others. Returns full research on primary, abbreviated metrics on comparisons, plus AI comparative analysis.
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  • Start asynchronous AI research for a contact using LinkedIn and other sources, then poll the research ID for results.
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  • Request product research for a shopping or product-selection need. Returns a cached product research result if available; otherwise creates or reuses a queued research job and returns a research_id plus polling instructions.
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  • OpenAI ChatGPT Deep Research / Connectors search contract. Returns matching Dynamoi artists, campaigns, and Smart Links so they can be cited in a deep-research session. For regular ChatGPT chat use dynamoi_search instead.
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  • LLM-generated daily crypto market research digest synthesizing regime classification, top-24h movers across 32+ coins, BTC derivatives positioning, on-chain pulse indicators, and f. $0.50
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