"Best practices for using a library for a specific task" matching MCP tools:

• check_headersA

  ContrastAPIA

  Validate HTTP security headers you provide (JSON): CSP, HSTS, X-Frame-Options, X-Content-Type-Options, Permissions-Policy, Referrer-Policy against best practices. Use to test header config before deployment or validate non-public servers; use scan_headers to fetch live. Free: 30/hr, Pro: 500/hr. By default header values are truncated to 500 chars; pass include='full' for the full raw value. Returns {total, by_severity, findings}. No external requests.

  ConnectorNo auth

• get_best_deals_by_categoryA

  GotCashback MCPA

  Finds where to buy products from a shopping category with the most savings: returns the matching categories and, for each, the stores in it ranked by best current cashback rate, then best gift card discount. Use it when the user names a type of product or a category rather than a store or brand — 'where can I buy dog food with the biggest discount?', 'best cashback for electronics', 'travel booking sites with cashback'. For a specific retailer use get_cashback_rates_by_store_name; for a product brand use get_best_deals_by_brand. Returns up to 5 matching categories, best match first; empty when nothing matched. Rates reflect GotCashback's current data, refreshed several times a day. Always show each store's links to the user: best_cashback_rate.url (clickable link that activates the cashback) and gift_cards_url (where to buy the discounted gift cards).

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• get_best_deals_by_categoryA

  GotCashbackA

  Finds where to buy products from a shopping category with the most savings: returns the matching categories and, for each, the stores in it ranked by best current cashback rate, then best gift card discount. Use it when the user names a type of product or a category rather than a store or brand — 'where can I buy dog food with the biggest discount?', 'best cashback for electronics', 'travel booking sites with cashback'. For a specific retailer use get_cashback_rates_by_store_name; for a product brand use get_best_deals_by_brand. Returns up to 5 matching categories, best match first; empty when nothing matched. Rates reflect GotCashback's current data, refreshed several times a day. Always show each store's links to the user: best_cashback_rate.url (clickable link that activates the cashback) and gift_cards_url (where to buy the discounted gift cards).

  ConnectorNo auth

• find_api_for_taskA

  RealWorldAPIsA

  Find the best APIs for a natural-language physical-world task. Use this for open-ended task or outcome-based recommendations; use search_apis when you already know exact filters, get_api for one known API, or compare_apis for known candidates. Returns an authoritative canonical structured_results shortlist plus a best-effort AI comparison restricted to that shortlist. The canonical engine now applies Verified/High capability evidence before ranking: explicit hard requirements expressed with terms such as must, required, no or without can exclude a candidate only when verified evidence contradicts them. Unknown evidence remains eligible and is surfaced as uncertainty. requirements.mcp, openapi and auth are translated into explicit requirements; categories and capabilities remain task-shaping hints. free_tier and min_readiness are accepted for compatibility but are not hard filters.

  ConnectorNo auth

• agentbit_routeA

  AgentBITB

  THE general-purpose tool: use this whenever you need data or an action that no other tool here covers. Describe the task and we pick the single best x402 tool for it across the whole ecosystem (14,000+ tools) — including external sellers, paid from our treasury — run it, and return the result. Examples: "get the latest ethereum block height", "screen this wallet for sanctions", "search the web for X and extract the text", "latest SEC filings for AAPL", "price of ETH in USD". Give a plain-language "task" (we pick the tool) or an explicit "resource" URL, plus optional "body" input. Pay-per-call via x402 (USDC on Base): call without _payment to get the requirements, then retry with _payment set. Prefer this over hard-coding a specific seller.

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• recommend_iconsA

  SupericonsA

  Recommend a coherent icon set for up to 20 named UI slots in one call. Uses task context to narrow ambiguous meanings. When context is insufficient, returns needs_clarification with labeled interpretation options instead of guessing. Invalid inputs and service failures return a plain-language reason and a next step instead of a bare protocol error. Returns one recommendation and optional alternatives for each resolved slot, with explicit public library labels and visual preview URLs where available. Library key si means Supericons, not Simple Icons.

  ConnectorNo auth

• get_briefedA

  VARRD — Statistically Validated Trading Edges + AI Research EngineA

  Get a personalized market news briefing based on your validated edge library. Profiles your strategies, searches today's news for the instruments and setups you actually trade, and writes a concise digest connecting each headline to your specific book. Each news item includes a ↳ line tying it to your actual positions and edges (e.g. 'your ES momentum setups', 'your GC mean-reversion edge'). Requires at least 5 strong edges in your library. Costs credits.

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• view-hmr-unit-testsA

  hmrA

  The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

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• recommend_iconsA

  SupericonsA

  Recommend a coherent icon set for up to 20 named UI slots in one call. Uses task context to narrow ambiguous meanings. When context is insufficient, returns needs_clarification with labeled interpretation options instead of guessing. Invalid inputs and service failures return a plain-language reason and a next step instead of a bare protocol error. Returns one recommendation and optional alternatives for each resolved slot, with explicit public library labels and visual preview URLs where available. Library key si means Supericons, not Simple Icons.

  ConnectorNo auth

• search_companiesA

  mcpA

  Samples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want to know who agents *recommend* for a category — not where a specific brand is mentioned (use scan_visibility for that). Free, no URL needed. Result: { companies[], tool_schema_version }.

  ConnectorNo auth

• get_direct_task_statusA

  Xcatcher — Recent X PostsA

  Read an accountless paid crawl using its task_id and task-scoped token. Use this instead of get_task_status for an accountless x402 task. Poll every 5-10 seconds until task.has_result is true or it reaches failed/cancelled.

  ConnectorNo auth

• fetch_qencode_docA

  qencodeA

  Read the full content of a Qencode knowledge-base resource by URI. Works for every URI returned by `search_qencode_docs` — recipes, best practices, storage, gotchas, error codes, and the schema digest. Call this after `search_qencode_docs` (or with a known `qencode://...` URI) whenever you need the full markdown or JSON of a recipe or reference doc. Args: uri: a `qencode://...` URI from a `search_qencode_docs` hit. Examples: - qencode://recipe/hls_abr - qencode://docs/best-practices - qencode://docs/storage - qencode://docs/error-codes - qencode://schema/digest Returns: A dict with `uri`, `mime_type`, and `content` (the full markdown or JSON, depending on the doc). On unknown URI, returns `{"error": "...", "available_uris": [...]}` listing the URIs you can try instead.

  ConnectorOAuth

• load_skillA

  formbaseB

  Load a domain-knowledge skill — themes, settings, analytics, logic-rules, editing-flows, question-types, etc. Returns markdown reference content. Use when the task touches a domain whose conventions or constraints are not obvious from the surrounding tools. For loading additional MCP tool catalogs (deferred tools by bundle name) use `load_tools` instead. Available skills: - toon-format: TOON format reference for reading and parsing form document structure - question-types: All question types with parameters, validation, and when to use each - logic-rules: Conditional logic conditions, actions, patterns, and examples - editing-flows: Editing workflows, node chaining, batch operations, and best practices - form-best-practices: Form design best practices for question design, ordering, and type selection. - analytics: Form analytics interpretation, metrics, and actionable insights - form-settings: Form configuration options, security, notifications, email customization, and data retention - form-themes: Form visual theming system — schema, constraints, design guidelines, and examples - requests: Requests: asking named people to fill a form — field keys, prefill shapes, delivery, callbacks, polling

  ConnectorOAuth

• defi.aggregatorA

  ChainRayB

  Cross-chain DeFi yield ranking: scans Aave V3 across all supported chains to find the best supply APY and cheapest borrow rates. Use for a cross-chain ranking of configured DeFi lending opportunities. For a chain-specific protocol comparison, use defi.compare; for one protocol's rates, use defi.yields.

  ConnectorNo auth

• library_recsA

  imho.run game recommendationsA

  Steam games for a player, ranked against their own public Steam library (what they play most), the way imho.run's library mode does it; owned games are left out. Use it when the user gives their Steam profile and wants picks for their taste in general; for 'games like X' use games_like or recommend. Takes a SteamID64 or a steamcommunity.com/profiles/<SteamID64> link (not a custom /id/ name) and works only for public profiles imho.run already has; otherwise it returns one 'unavailable' error with a link the user can open to paste their profile. Each pick names the most-played game it is closest to (`similar_to`). Games rated for adults only (explicit sexual content) are not covered; filtering is best effort.

  ConnectorNo auth

• load_skillA

  Formstep

  Load a domain-knowledge skill — themes, settings, analytics, logic-rules, editing-flows, question-types, etc. Returns markdown reference content. Use when the task touches a domain whose conventions or constraints are not obvious from the surrounding tools. For loading additional MCP tool catalogs (deferred tools by bundle name) use `load_tools` instead. Available skills: - toon-format: TOON format reference for reading and parsing form document structure - question-types: All question types with parameters, validation, and when to use each - logic-rules: Conditional logic conditions, actions, patterns, and examples - editing-flows: Editing workflows, node chaining, batch operations, and best practices - form-best-practices: Form design best practices for question design, ordering, and type selection. - analytics: Form analytics interpretation, metrics, and actionable insights - form-settings: Form configuration options, security, notifications, email customization, and data retention - form-themes: Form visual theming system — schema, constraints, design guidelines, and examples - requests: Requests: asking named people to fill a form — field keys, prefill shapes, delivery, callbacks, polling

  ConnectorOAuth

• resolve-library-idA

  xpay✦ DevTools CollectionC

  Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.

  ConnectorNo auth

• resolve-library-idA

  Context7A

  Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'Query Documentation' tool to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Each result includes: - Library ID: Context7-compatible identifier (format: /org/project) - Name: Library or package name - Description: Short summary - Code Snippets: Number of available code examples - Source Reputation: Authority indicator (High, Medium, Low, or Unknown) - Benchmark Score: Quality indicator (100 is the highest score) - Versions: List of versions if available. Use one of those versions if the user provides a version in their query. The format of the version is /org/project/version. For best results, select libraries based on name match, source reputation, snippet coverage, benchmark score, and relevance to your use case. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.

  ConnectorNo auth

• list_security_guidanceA

  RoutebaseA

  List the static security guidance library — one entry per OWASP API-security issue with its remediation text, code examples and references. Pass guidanceId (the guidanceId of a finding) for a single entry. The library is global, not project-specific. Use this for the general library; for advice on one finding use get_finding_remediation.

  ConnectorAPI key

• seedance_generate_videoA

  VidGuyA

  Generate a video with Seedance 2.0 / 2.5. ASYNC — returns a jobId; poll get_job. SPENDS CREDITS. Tip: call optimize_seedance_prompt first for best results. Supports multimodal references (≤9 images, ≤3 videos, ≤3 audio clips) — pass library rows from list_seedance_library / list_seedance_actors as {source, id}, or a public URL as {url, mediaType}. Each reference is appended to the prompt as `@Image N` / `@Video N` / `@Audio N`; you can also cite those tokens yourself in the prompt text. Audio references must be ≤15 seconds and drive dialogue/lipsync — keep generateAudio=true when using them.

  Connector

  Destructive

  OAuth

• docs-answerA

  Aayat AIA

  An answer written only from a library's current docs, with a code example and sources. ★ One of our best tools. Reads the project's current docs (llms.txt, docs pages or latest README) for any npm, PyPI, crates or Go library and answers from them alone, with a code example, the version it applies to and cited sources; says so when the docs don't cover it. library is the package name, question your question; ecosystem defaults to npm. Use for a direct answer to one how-to question about a library, from its current docs. Instead, use `docs-lib` ($0.005) for the docs to read yourself. Answers may be cached for up to 6 hours. Price: $0.02 USDC per call (x402 or prepaid credits); failed calls are free. Paid only (not in the free trial). Try docs-lib free first.

  ConnectorNo auth