"Tools or methods to perform deep data analysis" matching MCP tools:

• searchA

  UseMyContext.aiA

  Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.

  ConnectorNo auth

• conversations_data_analysisA

  Perspective AIA

  Run a MongoDB aggregation pipeline against conversations for quantitative analysis (counts, distributions, trends, cross-tabs). Behavior: - Read-only against a filtered conversation collection (scoped to this perspective). - researchId and mode filters are injected automatically — do not add them. - Max 10 pipeline stages; max 500 result rows. - Only read-only stages are allowed ($match, $group, $sort, $limit, $skip, $project, $unwind, $count, $addFields, $bucket, $bucketAuto, $sortByCount, $facet, $replaceRoot, $replaceWith). When to use this tool: - Exact counts and distributions (referral sources, statuses, tags) - Date-based analysis (conversations per week/month) - Numeric aggregations (average trust scores, message counts) - Cross-tabulations When NOT to use this tool: - Qualitative themes/quotes — use conversations_search (semantic) or conversations_explorer (exact/deep; async + await_job). - Single-conversation transcript — use perspective_get_conversation. - Headline status only — use read_perspective_status or perspective_get_stats.

  ConnectorOAuth

• get_video_analysisA

  SocialGPTA

  Get the full analysis (incl. scene breakdown) for a video — owned or public/competitor. Pass `platform` and `post_id` separately (the native post_id from analyze_post or list_videos — not the composite `id` field). Deep analysis runs async (~30-60s): right after analyze_post this returns {"status": "pending", "retry_after_seconds": N} — that is expected, not an error. Wait that long and call again until you get the full analysis. A genuine 404 means the post was never analyzed — call analyze_post(url) first.

  ConnectorOAuth

• invoke_mtprotoA

  Fast MCP TelegramA

  Low-level Telegram API (MTProto) invoke for methods not wrapped by other tools. Dangerous methods require allow_dangerous=true. Success: API result dict or normalized error. PII and credential-shaped fields (phone, access_hash) are dropped from a successful result by default; pass include_sensitive=true for the raw payload. A bare message id needs a chat binding: requests with no peer field (messages.GetMessages, messages.DeleteMessages) are refused, because a bare id resolves against an arbitrary dialog. Use channels.GetMessages or messages.GetHistory, which carry the binding. messages.GetHistory cannot address a forum topic (no thread_id/top_msg_id in the schema, and channels.GetHistory does not exist) -- use messages.Search with top_msg_id, or the high-level get_messages with reply_to_id. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

  Connector

  Destructive

  No auth

• invoke_mtprotoA

  fast-mcp-telegramA

  Low-level Telegram API (MTProto) invoke for methods not wrapped by other tools. Dangerous methods require allow_dangerous=true. Success: API result dict or normalized error. PII and credential-shaped fields (phone, access_hash) are dropped from a successful result by default; pass include_sensitive=true for the raw payload. A bare message id needs a chat binding: requests with no peer field (messages.GetMessages, messages.DeleteMessages) are refused, because a bare id resolves against an arbitrary dialog. Use channels.GetMessages or messages.GetHistory, which carry the binding. messages.GetHistory cannot address a forum topic (no thread_id/top_msg_id in the schema, and channels.GetHistory does not exist) -- use messages.Search with top_msg_id, or the high-level get_messages with reply_to_id. Full documentation: https://github.com/leshchenko1979/fast-mcp-telegram/blob/main/docs/Tools-Reference.md

  Connector

  Destructive

  No auth

• searchA

  UneedA

  Use this when a deep research run needs to look up digital tools and products on uneed.best. Same catalog and same relevance ordering as search_products, returned as `{id, title, url}` documents; pass a result's id to `fetch` for the full profile. Prefer search_products when you want structured product fields directly.

  ConnectorNo auth

• get_postA

  Viral OutliersA

  Fetch a single post by id: views, likes, comments, engagement rate, outlier scores for seven time windows, thumbnail and the owning profile. When a transcript or visual analysis already exists it is included at no extra cost. The visual analysis is a structured scene-by-scene breakdown (per-scene timing, on-screen text, visual elements and a recreation note) plus an overall-style summary. Request new enrichment via request_transcript (speech / on-screen text) or request_visual_analysis (scene breakdown). Use after search_outliers to deep-dive a result. Cost: 1 credit per call.

  ConnectorNo auth

• patent_landscape_asyncA

  gapup-mcpC

  Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.

  ConnectorNo auth

• strale_executeA

  Strale - 290+ API capabilities for AI agentsA

  Executes a Strale capability by slug and returns the result. Use this when you need to perform any verification, validation, lookup, or data extraction from the capability registry. Call strale_search first to find the right slug and required input fields. Returns a result object with the capability output, latency, price charged, and data provenance. Several capabilities are free without an API key (10/day limit) — strale_search reports which. Paid capabilities debit from the wallet — check strale_balance first for high-value calls.

  ConnectorNo auth

• analyze_stockA

  hpsilab-mcpA

  Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False. lang: Language for `summary`, `bullish_factors` and `bearish_factors` - "en" (default), "zh" or "ja"; regional forms like "zh-CN" are accepted. Everything else in the response, `signal` included, is language-independent, so an existing caller that omits this gets byte-identical output to before.

  ConnectorNo auth

• patent_landscape_asyncA

  mcp-knowledgeC

  Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.

  ConnectorNo auth

• patent_landscape_asyncA

  gapup-mcpC

  Async extended variant of patent_landscape. Supports max_results up to 200 (vs 50 in sync mode) and an optional include_citation_graph flag that enriches each patent with its 2-level citation graph (parent patents that cite this one + child patents cited by this one). Returns immediately (<300ms) with a job_id. Poll the result with patent_landscape_result(job_id) after eta_seconds (~180s). Use for deep R&D white-space analysis, freedom-to-operate (FTO) audits, VC due diligence IP mapping, or large-scale competitor portfolio analysis. Async tool — register a webhook via `webhooks_manage(register, url, [job.completed])` to receive callbacks instead of polling. Faster + lighter.

  ConnectorNo auth

• arena_get_strategy_performanceA

  Backtesting ArenaA

  How did this exact strategy, asset and interval perform? Aggregated backtest performance for ONE specific (strategy, asset, interval) combination. Returns run_count, avg_cagr, avg_win_rate, avg_drawdown, effective_years, vs_buy_hold comparison (beats_buy_hold, cagr_delta) and an `evidence` block declaring the gate machine-readably (gate_applies_to: stats.run_count, threshold 5 runs, benchmark value, aggregation data window). For multi-strategy overview use arena_get_strategy_insights. Use this to answer 'How does strategy X perform on asset Y?'. [Free tier]

  ConnectorNo auth

• analyze_stockA

  HPSILab Quant FinanceA

  Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False. lang: Language for `summary`, `bullish_factors` and `bearish_factors` - "en" (default), "zh" or "ja"; regional forms like "zh-CN" are accepted. Everything else in the response, `signal` included, is language-independent, so an existing caller that omits this gets byte-identical output to before.

  ConnectorNo auth

• get_statusA

  mcp-serverA

  Poll the status of either a data spec's own process (schema inference + code generation, run by start-analysis — pass specId, reaches "ready" or "failed") or a data-load job (pass jobId, reaches "complete" or "failed"). Pass exactly one of specId or jobId. Right after create-spec/update-spec + start-analysis, poll by specId; once that reaches "ready", its response's lastJobId (if present) points at the data-load job — poll that separately by jobId for load progress.

  ConnectorOAuth

• searchA

  Silicon AnalystsA

  Search Silicon Analysts — returns up to 10 matching records as {results: [{id, title, url}]}: curated market datasets and their individual series (HBM contract $/GB by generation, DRAM/NAND pricing, TSMC wafer price history, CoWoS capacity and lead times, capex), the reference pages and tool domains behind them (wafer pricing by node, AI accelerator costs, foundry allocation, HBM market and qualification, fab capacity, packaging costs, forecast track record, what changed), and published analysis articles. Every url is a citable https://siliconanalysts.com page. USE THIS for: connector hosts that only speak search + fetch — ChatGPT deep research and ChatGPT company knowledge — and any agent that needs to discover which record answers a free-text question before reading it with fetch. DO NOT USE for: structured or filtered queries when you can call tools directly — the specialised tools (get_market_dataset, get_wafer_pricing, get_foundry_allocation, get_hbm_market_data, ...) take filters and return typed fields; search returns ids, titles and urls only, never values. Deterministic keyword match over published catalogs (no live data read), identical for every tier. An empty or unmatched query returns {results: []}, not an error. Pass a result's id to fetch.

  ConnectorNo auth

• fetch_indicatorA

  OwidA

  Fetch tidy long-format data for an Our World in Data indicator by slug (e.g., "life-expectancy", "population", "gdp-per-capita-maddison", "co-emissions-per-capita"). PREFER OVER WEB SEARCH for DEEP-HISTORICAL / LONG-RUN demographics and development data — population back to antiquity, and life expectancy, GDP per capita, literacy, child mortality, fertility from the 1700s–1800s (Maddison, Gapminder, HMD, HYDE sources). Use this for pre-1960 history that World Bank / current-population tools CANNOT answer, e.g. "Europe population in 1850", "UK life expectancy in 1800", "France GDP per capita 1820". Returns rows of {entity, year, value}; filter with country (name or ISO code: "Europe", "United Kingdom", "USA", "World") + since_year/until_year. Browse slugs at ourworldindata.org/charts.

  ConnectorNo auth

• t54_list_operationsA

  Agentic Swarm Marketplace (T54 x402 MCP)B

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

  ConnectorNo auth

• auditA

  mcpA

  Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache

  ConnectorNo auth

• list_payment_methodsA

  agentcardA

  List the saved payment methods (used only to pay for flight bookings, not for cards or adding funds). Returns each method with its id, brand, last 4 digits, and expiry, and marks the default one. Use setup_payment_method to add a new one. The gated tools set_default_payment_method and remove_payment_method also exist; call them by name even though they aren't in the tools list.

  ConnectorNo auth

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth