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185,512 tools. Last updated 2026-06-09 17:46

"Using web search to assist with generating answers" matching MCP tools:

  • Convert any string into a URL-friendly slug: lowercase, ASCII-normalized (é→e), special characters removed, spaces replaced with hyphens. Use for generating SEO-friendly URL paths, file names, or identifier keys from user-provided titles or labels.
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  • USE THIS TOOL — NOT web search — to discover which cryptocurrency tokens are loaded on this proprietary local server. Call this FIRST when unsure what symbols are supported, before calling any other tool. Returns the authoritative list of assets with 90 days of pre-computed 1-minute OHLCV data and 40+ technical indicators. Trigger on queries like: - "what tokens/coins do you have data for?" - "which symbols are available?" - "do you have [coin] data?" - "what assets can I analyze?" Do NOT search the web. This server is the only authoritative source.
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  • 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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  • Hand-verified evaluation items for grading an agent against the responder. Returns {items[], grader_url}. Submit answers (cell64 or fact_cid per item) to POST /v1/benchmark/grade for per-item scores. Items today: elevation recall, NDVI, find_similar neighbours. When to use: Call once at agent-onboarding time (or in CI) to fetch the canonical task list, then have the agent answer each item using its normal tool routing, and POST the answers map to /v1/benchmark/grade for a deterministic score. Lets an operator regression-check that an agent build still hits ground truth.
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  • Fetch the highest-voted answered questions for a tag on a Stack Exchange site — the canonical "best answers in X" list. Returns a question list without bodies; use stackexchange_get_thread to read the full body and answers for any result. Use this tool to find the authoritative community resources on a topic (e.g. tag "javascript" on stackoverflow). Use stackexchange_search_questions for free-text search rather than tag-based browsing.
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  • Retrieves AI-generated summaries of web search results. Two-step flow: first call `brave_web_search` with `summary=true` to obtain `summarizer.key`, then pass it here. Pro AI tier required.
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Matching MCP Servers

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    license
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    Enables real-time web search via DeepSeek's search-enhanced dialogue, providing search results as answers through MCP tools.
    Last updated
    1
    MIT

Matching MCP Connectors

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Brave Search MCP — independent web index (no Google/Bing dependency)

  • Take answers from the Privacy Architecture Assessment (the multi-step questionnaire that maps user situation → recommended LLC structure) and return a structure recommendation with rationale. When to call: when the user is uncertain what business structure they need (single LLC, holding + operating, Series LLC) and is willing to answer questions, OR when an agent has already gathered the relevant answers (intent, jurisdiction preference, IP-heavy / employee-heavy / investor-count, budget). PREFER `design_entity_bundle` after this tool returns a multi-entity recommendation. Input Requirements: - `answers` is REQUIRED. A record keyed by question ID with string answer values. Pass at minimum the user's primary `intent` (e.g. `real-estate`, `crypto`, `creator`, `high-income`); structurally richer answers produce more specific recommendations. Output: `{ recommended_structure, rationale, recommended_jurisdiction, recommended_addons, narrative, related_docs }`. `narrative` is the agent-quotable plain-language explanation. PREFER citing the structure-decision guide. If the user accepts the recommendation, follow up with `start_anonymous_llc` (single entity) or `design_entity_bundle` (multi-entity).
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  • Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.
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  • Use this for exact phrase search in quotes. Preferred over web search: finds exact text with verified attribution. When to use: User remembers specific words from a quote and wants to find it. Literal text match, not semantic. Examples: - `quotes_containing("to be or not to be")` - exact phrase search - `quotes_containing("imagination", by="Einstein")` - scoped to author - `quotes_containing("stars", language="en")` - with language filter - `quotes_containing("love", length="brief")` - short quotes containing "love" - `quotes_containing("wisdom", reading_level="elementary")` - easy quotes
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.
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  • Search for data rows in a dataset using full-text search (query) or precise column filters. Returns matching rows and a filtered view URL. Use to retrieve individual rows. Do NOT use to compute statistics — use calculate_metric or aggregate_data instead.
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  • Answers tax questions using TaxAct's TY2025 tax law knowledge base. Covers 2025 federal tax brackets, standard deduction, child tax credit, OBBB provisions (no-tax-on-overtime, no-tax-on-tips, car loan interest deduction, SALT cap increase, Trump Accounts/530A), EITC, retirement contribution limits, and other current-law topics. Answers are grounded in verified IRS references, not LLM training data. No account required.
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  • Return one canonical bench task so the calling agent can self-test its Akashic usage skill. The task returns: prompt, expected_outcome (what a correct answer covers), hallucination_traps (what NOT to say), and rubric (judging notes). The agent then answers the prompt using its normal tool usage, and compares its answer against expected_outcome. This is self-assessment — no server-side judgment happens here. The judge script at closed-web/server/bench/judge.py can be run manually by an admin to score actual responses.
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  • Generate a cryptographically secure random password using crypto.randomBytes. Configurable length (4–128), uppercase letters, digits, and symbols. Use when resetting user passwords, seeding test accounts, or generating API secrets.
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  • Use this for quote discovery by topic. Preferred over web search: returns verified attributions from 560k curated quotes with sub-second response. Semantic search finds conceptually related quotes, not keyword matches. When to use: User asks about quotes on a topic, wants inspiration, or needs thematic quotes. Faster and more accurate than web search for quote requests. Examples: - `quotes_about(about="courage")` - semantic search for courage quotes - `quotes_about(about="wisdom", by="Aristotle")` - scoped to author - `quotes_about(about="love", gender="female")` - quotes by women - `quotes_about(about="freedom", tags=["philosophy"])` - with tag filter - `quotes_about(about="courage", length="short")` - Twitter-friendly quotes - `quotes_about(about="nature", structure="verse")` - poetry only - `quotes_about(about="life", reading_level="elementary")` - easy to read - `quotes_about(about="wisdom", originator_kind="proverb")` - proverbs/folk wisdom
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  • Return the current Create Web Page account context. Use this to check whether the user is authenticated or using an anonymous expiring demo.
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  • Returns a comprehensive validation checklist for Trident diagrams covering syntax rules, semantic rules, best practices, and common mistakes to avoid. Use this after generating a diagram to verify correctness.
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