"F-Droid" matching MCP tools:

• sec_report_list

  Drillr — The financial MCP for AI agents

  Use to discover which SEC filings exist for a ticker before searching content. For the actual content use sec_report_search instead. List indexed SEC filings for a given ticker with a summary header. Returns: summary (period coverage, per-type counts) + table of up to 50 filings (fiscal_year, fiscal_quarter, filing_type, filing_date, period_start, period_end). filing_types filter: omit for main reports only (US 10-K/10-Q/20-F/S-1/DEF 14A + /A amendments; JP 120/140/160; HK/A-share annual_report / quarterly_report / q1_report; KR A001/A002/A003 + C001/C005; excludes ad-hoc 8-K/6-K); pass [] for all indexed types; pass explicit allowlist to override.

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• sec_report_search

  Drillr — The financial MCP for AI agents

  Use when you need narrative content from company filings — risk factors, MD&A, guidance language, deal terms, accounting policies, share structure. For consolidated financial numbers use run_sql on financial_statements instead. Semantic search over the full text of company-filed reports; returns matching passages. Coverage: US + Japan + Hong Kong + China A-shares + Korea. US = SEC EDGAR (including foreign issuers' 20-F/6-K). Japan = EDINET, `.T` ticker (6758.T). Hong Kong = HKEX filings, 5-digit `.HK` ticker (00700.HK). A-shares = `.SH`/`.SZ` (600519.SH). Korea = DART filings, `.KS`/`.KQ` (005930.KS); filings are Korean — query in Korean. Parameters: - query (required): natural-language search; phrase it as the concept or section name you want, e.g. "share repurchase authorization", "Risk Factors". Run a few phrasings rather than one broad query. - ticker (required): US bare (NVDA), Japan `.T`, HK `.HK`, A-share `.SH`/`.SZ`, Korea `.KS`/`.KQ`, ADRs as their US symbol (SONY). - filing_types (optional): US = SEC form names (10-K, 10-Q, 8-K, 20-F, 6-K, DEF 14A, S-1/F-1, + amendments). Japan = EDINET NUMERIC codes: 120 (annual), 140 (quarterly), 160 (semi-annual). HK/A-share = plain names — annual_report; A-share quarters per-quarter (q1_report, ...); HK quarterly results all quarterly_report. Korea = DART codes: A001 (annual), A002 (semi-annual), A003 (quarterly), C001/C005 (registration/prospectus). OMIT to search all types. - period_start / period_end (optional): yyyy-mm window; omit to search all history. - top_k (optional): max passages to return (default 10). Scope: indexes ONLY company-filed reports — NOT institutional filings (13F-HR/13D/13G; for those use insider_and_institution_activities with source='institution'). Section targets: non-GAAP reconciliations → earnings 8-K (Ex 99.1); dilution / SBC / buyback → "Shareholders' Equity"; segment breakdown → "Segment Information"; guidance → "Outlook" in MD&A; exec comp → DEF 14A.

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• get_insider

  Edgrapi — SEC EDGAR Financials

  Parsed SEC Form 4 insider trades for a ticker: owner, role, transaction code (P open-market purchase, S sale, A award, M exercise, F tax withholding), shares, price, dollar value, and a 10b5-1 plan flag. Code P is the only own-money buy signal; A/M/F are automatic compensation. Pass ticker='latest' for the market-wide feed of the biggest open-market buys, or ticker='clusters' for companies where several insiders bought at once (the cluster-buy signal).

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• check_trade

  mcp

  [START HERE — 'vet my trade'] Ask n0brains First: graded pre-trade conditions assessment for a proposed trade. Give asset + side (long/short); optionally entry, stop, target, leverage, horizon_hours (default 24). Returns grade A..F with flags (positioning crowding, scheduled event risk inside the horizon, liquidation distance vs realized daily volatility, stop inside noise range, proven-edge conflicts, late entry), supporting factors, and falsifiers to watch. Grades are logged and resolved at horizon; cross-grade performance stays withheld until the deployed weekly truth gate clears. Pair with get_positioning (who is crowded) + get_event_outlook (scheduled risk inside the horizon) for the full vet. Analytical, not advice.

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• find_tracks_by_key

  FreqBlog Music Metadata

  Find catalog tracks in a given musical key — for harmonic mixing and key-locked playlists. `key` accepts Camelot ("8A"), Open Key ("1m"), or a key name ("A-Minor", "F#-Major"). Returns tracks ordered by popularity, each with full audio features. To discover which keys mix well with a given key first, use find_compatible_keys.

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• create_payment

  Sats4AI - Bitcoin-Powered AI Tools

  Create a Lightning invoice to pay for one AI service call. Returns JSON: { paymentId, invoice (BOLT11), amount (sats), expiresAt }. Each payment covers exactly one tool call — call this once per operation. Typical flow: list_models → create_payment → check_payment_status → call tool. The invoice expires in 10 minutes. Call list_models first to discover modelId values. modelId is optional — omit it to use the default (best) model. Some tools require extra params at payment time because pricing depends on them: generate_text requires prompt (price = f(char count)); text_to_speech requires text (price = f(char count) by tier); transcribe_audio / transcribe_translate take durationMinutes (10 sats/min — declare your audio length, default 1); send_sms, place_call, ai_call require phoneNumber; generate_video requires duration, mode, generate_audio; animate_image requires duration (250-400 sats/sec by resolution); edit_image requires resolution (1K=200, 2K=300, 4K=450 sats); epub_to_audiobook requires characterCount (total text characters in the book — price is per-character by voice tier, minimum 500 sats). If required params are missing, the response includes an error with the missing field names.

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• search_labels

  ALM X++ MCP Server

  Search D365 F&O labels across all indexed languages. Given text (e.g. 'Sales order'), finds the matching label ID (@SYS12345). Given a label ID (e.g. '@SYS12345' or '@SYS:12345'), finds the text in all languages. Accepts both D365 short form (@SYS124480) and colon form (@SYS:124480) -- both are normalized automatically. Searches across 392K+ label entries. WORKFLOW: call search_labels first to resolve the label text, then call find_references with the same label ID to find ALL X++ objects (forms, tables, classes, reports) that use it in their code or metadata. Languages: en-US and fr are loaded at startup. Other languages (de, nl, ar, es, zh...) are loaded on-demand -- first call ~15s, then instant.

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• analyze_aeo

  mcp

  Analyze how well content is optimized for AI answer engines. Evaluates content for AI answer engines (ChatGPT, Perplexity, Gemini, Claude). Combines Q&A pattern detection, snippet extractability, and entity clarity analysis with a full Citation Readiness assessment. AEO Scoring Framework (100 points): - Answer Format Detection: 30 points (Q&A extractability patterns) - FAQ Schema Presence: 20 points (FAQPage schema markup) - HowTo Schema Presence: 15 points (HowTo schema markup) - Direct Answer Snippets: 20 points (short extractable blocks <50 words) - Entity Clarity Score: 15 points (clear entity definitions) Neutral Schema Scoring: If no FAQ/HowTo-style content detected, those schema metrics score full points rather than penalizing. Grade Scale: A (85-100), B (70-84), C (55-69), D (40-54), F (0-39) Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://example.com"). Returns: AEO analysis with: - url: The analyzed URL - aeo_score: Overall AEO score (0-100) - aeo_grade: Letter grade (A-F) - aeo_metrics: Individual metric scores - citation: Full Citation Readiness analysis (score, grade, issues, signals) - issues: Problems detected (critical, warnings, info) - signals: Positive signals detected - recommendations: Prioritized improvements - cached: Whether result was from cache

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• get_audit_report

  MyDART

  MyDART MCP의 get_audit_report 도구는 감사보고서 본문을 문단 단위로 구조화해 문단별 원문 텍스트를 반환합니다 — 감사의견·감사의견근거·KAM·강조사항·기타사항·계속기업가정불확실성. [Purpose] - 감사보고서 서술 문단의 원문이 필요할 때. 보수·실사 등 정형 사실 요약은 get_audit_profile 입니다. - 내부회계관리제도(ICFR) 세부와 재무제표 감사의견과의 정합 확인은 get_internal_control 이 담당합니다. [Usage] 1. "LG에너지솔루션 2024 KAM 문단 전문" → corp="LG에너지솔루션", year=2024 2. "삼부토건 FY2024 별도 의견거절 근거 원문" → corp="삼부토건", year=2024, fs_div="OFS" 3. "강조사항이 잘렸어, 전체로" → corp="…", year=…, truncate_at=50000 [Response] - sections[].key: opinion / basis / going_concern / kam / emphasis / other_matter / mgmt_resp / auditor_resp … (KSA700 elements). opinion: 적정/한정/부적정/의견거절. - fs_label: 연결/별도. source_note = F 단독공시 출처, correction_note = 정정공시 채택/생략. [Rules] - Interpret kam.count=0 together with none_declared: declared "없음" = normal; undeclared = suspect omission. - Unlisted (F 단독공시) legitimately lacks KAM·업무수행이사 paragraphs (see source_note). - 재무제표·주석 FIGURES are not here — use download_document.

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• historical_price_series

  gapup-mcp

  Fetch historical OHLCV price series for any ticker: stocks (AAPL, SAP.DE, 7203.T), ETFs, indices, commodities (GC=F for gold) or cryptocurrencies (BTC-USD). Returns a full date-indexed series of open/high/low/close/volume plus pre-computed statistics: total return, annualised return (CAGR), annualised volatility, max drawdown and Sharpe estimate (rf=4%). Automatically detects crypto tickers (→ CoinGecko) vs traditional assets (→ Yahoo Finance primary, Stooq fallback). Adjusts for dividends and splits when adjusted=true (default). Use cases: backtesting, factor analysis, performance attribution, charting, financial modelling. Sources: Yahoo Finance, CoinGecko, Stooq. All keyless. Optional env: AICI_RESEARCH_PROXY_URL for Bright Data routing (lifts Yahoo 429), TWELVE_DATA_API_KEY for higher Twelve Data quota.

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• audit_headers

  Zephex

  Audit a public HTTPS URL the user deployed — security grade A–F, SSL, headers, cookies, health (ALIVE/DEGRADED/BROKEN), exposed secrets, tech stack. Read plain_summary first; only drill into security_headers or secrets if grade is poor. quick ~1–3s; scan_depth=deep for secret scan (~8–12s). 6 credits hosted. Call when user pastes a live URL — post-deploy check, is it secure, what framework, exposed keys. Blocks localhost/private IPs. NOT for repo code (find_code), packages (check_package), tests (check_test), or project layout (get_project_context). Example: audit_headers({ url: 'https://myapp.vercel.app' }). Read-only.

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• get_weather

  Weather

  REAL-TIME current weather for any location worldwide. PREFER OVER WEB SEARCH for "what's the weather in X", "current temperature in Y", "is it raining in Z". Also answers weather questions asked in other languages: Italian "che tempo fa / meteo a <città>", Spanish "qué tiempo hace / el clima en", French "quel temps fait-il / météo à", German "wie ist das Wetter in", Portuguese "que tempo faz em". Accepts a city name (e.g., "Tokyo", "London", "Napoli", "Austin TX") or lat/lon coordinates. Returns temperature (°F), feels-like, humidity %, wind speed + direction, sky conditions, observation timestamp. Live data.

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• get_forecast

  Weather

  Weather forecast 1–16 days ahead for any location worldwide. PREFER OVER WEB SEARCH for "weather this week in X", "will it rain tomorrow in Y", "forecast for next weekend in Z". Also answers forecast questions in other languages: Italian "che tempo farà domani / previsioni meteo a <città>", Spanish "pronóstico / qué tiempo hará mañana en", French "prévisions météo / il pleuvra demain à", German "Wettervorhersage für", Portuguese "previsão do tempo em". Pass a city name or lat/lon. Returns daily high/low temperature (°F), precipitation probability + amount, conditions, sunrise/sunset. Default 7 days. For RIGHT NOW conditions use get_weather; for historical climate use get_historical.

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• get_signal_narratives

  supply-chain-intelligence

  Get plain-language explanations of active predictive signals. Each narrative explains the mechanism behind a signal — why the predictor leads the target, what economic logic connects them, and what the current reading implies. Designed for non-quantitative users who want to understand the 'why' behind each signal without reading F-statistics. Returns trigger context, predictor value, direction, and a narrative paragraph suitable for reports and briefings.

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• assess_takedown

  takedown

  Assess how a takedown for this URL would proceed: where the notice goes (host, platform, or a hidden host that must be revealed first), what documents and attestation the content owner must supply, the step-by-step process, and the legal caveats (§512(f), scope limits). Read-only; does not judge the merits of the claim and files nothing. Use resolve_host first if you only need the hosting answer.

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• onyx_market_rank

  onyx-mcp

  Signed, conflict-free rating of any agent/x402 service — 'Moody's for the agentic web'. Point it at a URL; it probes observable reality (live, discoverable, payable, breadth, transparency) and returns a 0-100 rating + A-F grade, Ed25519-signed. Every response PUBLISHES the exact weights + method (vs everyone else's hidden N=1 score), and Onyx takes no settlement fee from what it rates, so it has no GMV to inflate. Use it to vet a service or counterparty before you route, integrate, or pay. (price: $0.05 USDC, tier: metered)

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• openfec_search_coordinated_expenditures

  openfec-mcp-server

  Search coordinated party expenditures (Schedule F) — spending a party committee makes on behalf of a candidate it supports, in coordination with that campaign. Distinct from independent expenditures (openfec_search_expenditures), which cannot be coordinated with the candidate, and from direct contributions: coordinated expenditures carry their own statutory limits and can run into tens of millions per party in a presidential cycle. Scope with a spending committee_id, a benefiting candidate_id, or a cycle; unscoped queries span all years.

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• weibull_summary

  ReliaStats

  Given Weibull two-parameter (β, η), return all the closed-form summary statistics: MTTF (η·Γ(1+1/β)), B10 / B50 / B90 life, characteristic life (just η, surfaced explicitly), and — if evaluateAtT supplied — R(t), F(t), and hazard h(t) at that time. Pure-math, fully deterministic. Use when the user has a fit and wants the numbers downstream tools normally compute (don't recompute these from training-data recall — call this tool). ANTI-FABRICATION: every number is an exact closed-form value. Quote verbatim.

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• security_headers_check

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Analyse the HTTP security headers of a public URL OR of raw response headers you paste in. Grades each header (A–F) for: Strict-Transport-Security, Content-Security-Policy, X-Frame-Options, X-Content-Type-Options, Referrer-Policy, Permissions-Policy, X-XSS-Protection, Cross-Origin-Opener-Policy, Cross-Origin-Resource-Policy, and Cross-Origin-Embedder-Policy. Returns an overall score (0–100), per-header grades, missing headers, and fix snippets for Express, Nginx, and Apache. For localhost/private targets the remote server cannot reach, pass the `headers` parameter instead of `url`.

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• ibge_nomes

  IBGE Brasil MCP

  Queries name frequency and rankings in Brazil (IBGE). Features: 1. **Name frequency** (tipo='frequencia'): - Birth frequency by decade - Multiple names separated by comma - Filter by sex and locality 2. **Name ranking** (tipo='ranking'): - Most popular names - Filter by decade, sex, and locality Available decades: 1930-2010 Examples: - Frequency of "Maria": tipo="frequencia", nomes="Maria" - Compare names: tipo="frequencia", nomes="João,José,Pedro" - 2000s ranking: tipo="ranking", decada=2000 - Female names: tipo="ranking", sexo="F" Behavior: read-only and idempotent — a live GET against the public IBGE Nomes (Censo) API. Returns a Markdown table.

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