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261,119 tools. Last updated 2026-07-05 10:33

"A server providing context 7" matching MCP tools:

  • Context lookup: Resolve an IPv4 or IPv6 address to its geolocation, ASN, org name, and city/country. Use when you need network or location context for a raw IP address; prefer dns_lookup or dossier_dns for hostname resolution. Queries ipinfo.io with a server-side token — the token is never exposed to callers. Returns a JSON object with fields ip, city, region, country, org, loc, and timezone. On failure, returns an error string describing what went wrong.
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  • Return the description and install snippets for a named tool or server. For tools: the description and the server it belongs to. For servers: local (stdio, via npx) install snippets for every published server, plus remote (HTTP) connection snippets when a hosted endpoint exists — for every supported client, or one client via the client parameter. Call cyanheads_search first to find valid names.
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  • Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."
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  • Delete a site and schedule resource cleanup (7-day grace period). WARNING: This is destructive. The site will be inaccessible immediately but data is retained for 7 days before permanent deletion. Best practice: create a snapshot before decommissioning. Requires: API key with admin scope. Args: slug: Site identifier Returns: {"success": true, "message": "Site scheduled for deletion", "grace_period_days": 7} Errors: NOT_FOUND: Unknown slug
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  • Server-detected events from the last hour: funding outliers (≥3x 7d baseline), whale trades (≥$100k), OI caps reached. Cursor-based — pass next_cursor back as since_id to receive only new events. The polling equivalent of the /sse/signals stream. Pro tool get_signal_history covers 7 days with forward-return outcomes.
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  • Use this read-only composite workflow tool for a paid filing-backed issuer drilldown when a daily brief pressure or opportunity row needs causality, not just a headline score. It server-enforces a broad issuer evidence plan: readiness, company_fundamentals, covenant_stress, peer_ranking, alpha_signals, SPECTRA field-map, ATLAS history, ATLAS-7 calculation history, CompanyFacts history, point-in-time history, daily_changes, risk_distribution, and top_stressed rank context. Parameters: ticker is required and normalized to uppercase; source_date, source_date_from, source_date_to, as_of_date_from, as_of_date_to, and output_mode=compact are optional reproduction controls. Behavior: read-only and idempotent; it has no destructive side effects, performs bounded internal fan-out, preserves partial failures, and explicitly reports missing evidence instead of inventing filing, liquidity, covenant, crypto-exposure, market-structure, or scenario facts. Use it for GME-style paid reports that must explain why a CRITICAL stress row exists, what filing evidence supports it, what changed, what peer context says, what historical stress path is available, and which sections still require external or future data.
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Matching MCP Connectors

  • 斯特丹STERDAN天猫旗舰店产品咨询MCP Server。洛阳30年源头工厂,高端钢制办公家具,1374个SKU,涵盖保密柜、更衣柜、公寓床、货架、快递柜。BIFMA认证,出口35+国家。8个工具:产品目录查询、场景推荐、认证资质、采购政策、维护指南等。

  • Qimen Dunjia & Da Liu Ren divination: complete nine-palace charts and four-lesson analysis.

  • Confirm an AI call after reviewing push-back questions, optionally providing answers to missing info. Required when ai_call returns state='pending_confirm'. Uses the original payment — no new payment needed. Returns call_id for polling with check_job_status(jobType='ai-call').
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  • Context lookup: Resolve an IPv4 or IPv6 address to its geolocation, ASN, org name, and city/country. Use when you need network or location context for a raw IP address; prefer dns_lookup or dossier_dns for hostname resolution. Queries ipinfo.io with a server-side token — the token is never exposed to callers. Returns a JSON object with fields ip, city, region, country, org, loc, and timezone. On failure, returns an error string describing what went wrong.
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  • Use this read-only tool when agents need the complete ATLAS-7 calculation bundle for an issuer and source_date. It assembles one calculation-history row from the existing ATLAS-7 precomputed surfaces: covenant stress, company fundamentals, peer ranking, alpha signals, alpha score breakdown, market regime context, SPECTRA inputs, quality flags, provenance, source fields, and hashes. Parameters: source_date replays one YYYY-MM-DD ATLAS-7 slice; source_date_from/source_date_to can page recent slices; ticker or CIK narrows to one issuer; mode=compact by default and full includes source_fields_json. Behavior: read-only and idempotent; it has no destructive side effects and performs no wallet, settlement, or trading actions. Use this before historical report rendering so agents do not mix latest-only fields into a historical answer.
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  • Given a Camelot key (e.g. "8A", "12B"), return the harmonically compatible keys for DJ mixing — the same key, the relative major/minor, and the adjacent +/-1 keys on the Camelot wheel. With `extended=true` also returns the +7/-7 energy-boost / energy-drop keys. Pure music theory — no catalog lookup and no quota cost. Pair with find_tracks_by_key to then pull actual tracks in each compatible key.
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  • Fetch a YouTube video transcript from a video URL or 11-char id. The transcript is cleaned server-side: deduplicated, tags/HTML stripped, with coarse [m:ss] timestamps - roughly a tenth the size of the raw captions. Default format='text' returns it inline (when it fits ~40K chars / ~10K tokens) so a single call gives you the text directly; long-form videos fall back to a download_url note. Pass format='json' for the same transcript plus structured metadata and a presigned download_url - for batch/programmatic use. Default origin='uploader_provided' (human captions); falls back to 'auto_generated' automatically if missing (counts as 2 upstream calls). Cached 7 days server-side.
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  • Live MLB game scores and results for the past 7 days and next 7 days. Returns teams, scores, and game status. Source: TheSportsDB. Every response is ML-DSA-65 signed and independently verifiable. Includes cryptographic receipt at trust.stratalize.com/verify.
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  • Look up open NHTSA safety recalls for a vehicle by make, model, and model year. Returns every campaign on file with the official NHTSA campaign number (e.g. 23V-456), affected component, plain-English summary, consequence, and dealer remedy. Use when the user asks about recalls without providing a VIN. Data source: NHTSA recalls API (api.nhtsa.gov). Free, official US data, updated within days of each campaign opening.
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  • Create a Revise document from a file at a public http(s) URL (.md, .markdown, .txt, .html, .htm, .docx; PDFs/images not yet supported). The server fetches the URL — file bytes are never passed inline. For a LOCAL file, use upload_document instead (it streams the file to the server). Returns the new document id and URL. Returns url (give it to your user — they view the document and create a free account to keep it, in one step) and edit_token (your Bearer token for future edits). The document is private and deleted after 7 days if unclaimed.
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  • Edit one of the caller's custom signals — supply `expr`, `description`, or both. Providing `expr` recompiles it against the live column whitelist. Built-in signals are read-only; only custom signals the caller owns can be patched. Scale plan or above.
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  • Composite server-side investigation tool. Pass a question and the server automatically: (1) detects intent (aggregation/temporal/ordering/knowledge-update/recall), (2) queries the entity index for structured facts, (3) builds a timeline for temporal questions, (4) retrieves memory chunks with the right scoring profile, (5) expands context around sparse hits, (6) derives counts/sums for aggregation, (7) assesses answerability, and (8) returns a recommendation. Use this as your FIRST tool for any non-trivial question — it does the multi-step investigation that would otherwise take 4-6 individual tool calls. The response includes structured facts, timeline, retrieved chunks, derived results, answerability assessment, and a recommendation for how to answer.
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  • Use when a user asks "what does power/gas COST in <ISO> right now?" — live energy PRICING for the 7 US ISOs (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE): retail electricity rate (cents/kWh), wholesale/LMP context, Henry Hub-referenced natural-gas price, and a real-time grid-status flag. Example: "What is the retail power price and gas price in ERCOT today?" — get_energy_prices iso=ERCOT. Params: iso (one of the 7 US ISOs; required). Returns: {iso, retail_price_cents_kwh, wholesale_price_usd_mwh, natural_gas_usd_mmbtu, grid_status, as_of}. Quote with attribution to DC Hub (CC-BY-4.0). Do NOT use for fuel mix / demand / 24h curve (use get_grid_data), for power HEADROOM or time-to-power (use get_grid_intelligence), or for behind-the-meter gas-to-grid $/MWh economics (use get_gas_economics); this is the live retail+gas PRICE read for one ISO.
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  • Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.
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  • Use when benchmarking workforce planning against sector labor market conditions, assessing industry growth trajectory for strategic planning, providing economic context for board reporting, or evaluating talent acquisition timing for a specific industry. Returns BLS payroll employment by major sector with month-over-month change, year-over-year change, and trend classification from the official establishment survey covering 650,000 US worksites — the same data the Federal Reserve uses to assess labor market conditions. Example: Healthcare sector — 8.41M employed, +47K MoM, +3.2% YoY, EXPANDING for 14 consecutive months — persistent hiring demand supports above-market compensation benchmarks. Source: Bureau of Labor Statistics Current Employment Statistics.
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  • Fetch a remote URL server-side and run the FileTag pipeline. The bytes never traverse the LLM context -- the agent supplies the URL, the server fetches under strict SSRF guards (HTTPS only, no private IP ranges, 30-second timeout, 50 MB cap, redirects disabled), and returns the structured tag result with metadata, suggested filename, ``enriched_file_url`` (short-lived signed URL to the renamed copy with metadata embedded into document properties), and a ``next_action`` recipe (``http_get_and_save``) telling the agent to download that URL and save it as the suggested filename -- act on it unless the user explicitly asked for metadata only. Use this when the file already lives at a public URL.
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