"Resources for Frontend Coding" matching MCP tools:

• explain_transactionA

  cleartraceA

  Classify a single transaction against the attribution engine: which frontend or router originated the trade and by which evidence, the pools it touched, any fee recipients, and whether it was sandwiched. Confidence is per-vector and is reported per result -- a calldata suffix is strong evidence a specific frontend tagged the swap, while a fee recipient is indirect evidence and is never rated high. Pass that qualification through instead of stating the frontend flatly. `estimated_volume_usd` (only with price=true) is a best-effort spot price on the dominant leg. It is an approximation for orientation and must never be quoted as a settlement figure. Fee amounts are exact raw token integers with no decimals or pricing applied. deep=true costs more upstream credits; leave it off unless a shallow classification came back unattributed.

  ConnectorNo auth

• migrate_to_propelauth_frontendA

  PropelAuth Integration MCP ServerA

  Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.

  ConnectorNo auth

• get_integration_guideA

  TestMyVibesA

  Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.

  ConnectorNo auth

• deploy_groupA

  DockholdA

  Deploy several connected services in one go (e.g. a frontend + an API). Call this when the user's project is split across multiple repos that must talk to each other; for a single repo use deploy_app. Each service is a public GitHub repo that gets its own URL. Wire them by setting an env var to the exact token ${services.<otherServiceName>.url} — Dockhold injects that service's live URL once it deploys. Give the backend its own database with "db":"enable" (DATABASE_URL is injected; a pure frontend doesn't need one). Builds run in parallel; poll get_app_status with each returned app_id.

  ConnectorNo auth

• list_loadoutsA

  MCPExplorerA

  List curated loadouts — deliberately-assembled kits of MCP servers + governance + plays for a specific job (GTM, coding, research, support, infra). The agent-facing version of the /loadouts product. Use get_loadout for the full kit with live trust.

  ConnectorNo auth

• create_webhook_subscriptionA

  Extend MCPA

  Subscribe an existing webhook endpoint to events from ONE specific extractor, classifier, splitter, or workflow (webhooks group) — deliveries for other resources are unaffected. Use this instead of global enabledEvents when only some resources matter. Configuration rules: call get_documentation with https://docs.extend.ai/webhooks/configuration.md first (event catalog: https://docs.extend.ai/webhooks/events.md).

  ConnectorOAuth

• frontend_security_detect_typosquattingA

  DataNexus MCPA

  Typosquatting detection optimised for the top 500 frontend packages (React, Vite, Axios, Lodash, etc.). Fewer false positives than a full npm scan. For backend packages, use security_detect_typosquatting instead. package_name: Package name to check. Required. ecosystem: npm or pypi — default npm. Uses Damerau-Levenshtein distance ≤ 2 against a curated frontend-package corpus. Returns is_likely_typosquat, closest_match, distance, and risk_level (LOW/MEDIUM/HIGH). Read-only. No side effects. Idempotent. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="frontend_security_detect_typosquatting", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

  ConnectorNo auth

• search_play_challengesA

  mcpA

  Return a list of hands-on SecDim Play secure coding challenges (labs) related to a detected or suspected vulnerability. SecDim Play challenges are scored, hands-on labs: find and fix a real vulnerability in running code to earn points and badges. Use this tool to: - Find hands-on SecDim Play labs for specific vulnerabilities like XSS, SQL Injection, etc. - Explore OWASP Top 10 vulnerabilities and related labs - Provide additional resources and guides to help developers improve their secure coding skills For structured tutorial content (text, video, and lab-based courses) on the same vulnerability, use search_learn_courses (SecDim Learn) instead or in addition. Args: search: Search term for the vulnerability (e.g., 'xss', 'sql-injection', 'injection') cwe: Common Weakness Enumeration (CWE) ID to filter by owasp: OWASP category to filter by (e.g., 'a03:2021') technology: Technology or framework to filter by (e.g., 'react', 'django') language: Programming language to filter by (e.g., 'javascript', 'python') difficulty: Difficulty level to filter by (e.g., 'trivial', 'easy', 'medium', 'hard') type: Challenge format to filter by (e.g., 'battle', 'exploitation', 'incident-response') mitre: MITRE ATT&CK ID to filter by (e.g., 'T1102.003') SecDim Play challenges (labs) each simulate a real vulnerability. They are scored according to the following difficulty levels: - Trivial: Easy to find and path vulnerabilities. It can be completed in 5-10 minutes. 1-15 points. - Easy: Known vulnerabilities. It can be completed in 10-30 minutes. 16-35 points. - Medium: Known vulnerabilities but require defence-in-depth patch. It can be completed in 20-30 minutes. 36-70 points. - Hard: Hard to find or patch vulnerabilities. It can be completed in 30-60 minutes. 71-100 points. - Battle: SecDim Flagship attack and defence challenge that require both vulnerability exploitation and mitigation skills. Points are accumulated. Returns: Dictionary containing SecDim Play labs results or error If there are no results, user can perform a manual search on the SecDim Play frontend (SECDIM_PLAY_FRONTEND_BASE_URL)

  ConnectorNo auth

• compras_listar_resourcesA

  MCP Compras.gov.brA

  Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }

  ConnectorNo auth

• contact_formA

  EnpitechA

  Opens Enpitech's contact form as a view in the conversation, where the user types their own name, email and message, plus an optional phone number and company, and submits it. Use it when the user wants to get in touch with Enpitech about frontend engineering work: frontend is the bottleneck their releases wait on; AI-generated frontend code their team cannot safely merge; senior React engineers embedded in a product team; AI features, an MCP app, or an agent-ready interface built into their product; private training for their team on AI-assisted frontend delivery or Claude Code; hosting, sponsoring or speaking at a frontend meetup. It opens a form and answers no questions. The tool itself sends nothing: it returns the contact surface the form opened on, and the enquiry is sent by submit_contact when the user submits.

  ConnectorNo auth

• newsletterA

  EnpitechA

  Opens a signup form for the Enpitech newsletter, about frontend, AI and how teams ship, as a view in the conversation. The user types their own email and subscribes there. Use it when the user asks to subscribe to, join or get the Enpitech newsletter. It opens a form and subscribes no one: the subscription happens only when the user submits the form.

  ConnectorNo auth

• ai_provider_statusA

  Can I Vibe? — AI coding provider statusA

  Get the live status of AI coding providers (Claude, OpenAI, Copilot, Cursor, OpenRouter and more). Returns status, how long each provider has been in its current state, and last check time. Pass service_id for one provider, omit it for all.

  ConnectorNo auth

• generate_promptA

  VynixA

  Render a ready-to-paste coding prompt for an annotation, formatted for a target assistant. A deterministic template (no AI spend); for a deeper analysis use diagnose_annotation.

  ConnectorNo auth

• list_topicsA

  Umesh Malik Blog & ProfileA

  List the curated topic hubs (Claude Code, MCP, AI Search, LLM Engineering, AI Coding Agents) with their URLs.

  ConnectorNo auth

• review_codeA

  Front-End ChecklistA

  Runs a non-exhaustive static heuristic review of pasted HTML, CSS, or JavaScript against multiple frontend best practices and returns prioritized issues, fix guidance, and suggestions for manual verification. Use it when the user requests a review, audit, or debugging of source code. An empty issue list means no provable static issue was found; it does not establish accessibility conformance or runtime correctness.

  ConnectorNo auth

• search_resourcesA

  nope-mcp — Open Educational Resources searchA

  Search for educational resources (learning materials, courses, videos, etc.) using full-text search and metadata filters. Returns resources matching the query from the AMB relay. Only openly licensed resources are returned (CC0, Public Domain, CC BY, CC BY-SA); NC/ND, all-rights-reserved and unlicensed resources are left out. NOTE: the metadata filters (publisherName, creatorName, subjectLabel, resourceTypeLabel, educationalLevelLabel) are EXACT full-string matches against the stored metadata (case-insensitive) — not fuzzy or substring searches. A guessed spelling silently returns 0 results; use resolve_publisher to find the canonical actor spelling first. On a zero-match actor filter the response includes actorCandidates with similar spellings to retry with.

  ConnectorNo auth

• scan_websiteA

  SimplyScanA

  Run a SimplyScan Security Engine security & speed scan (Pro with an entitled API key; otherwise free) of a deployed web app URL. Returns a 0-100 score and findings (exposed secrets, missing Supabase RLS, frontend leaks, speed issues). Best for apps built with Lovable, Bolt, v0, Cursor, Replit, etc.

  ConnectorNo auth

• get_implementation_promptA

  CatchUIA

  Returns CatchUI's ready-to-use implementation instructions for 1 to 6 UI patterns — what to build, where it sits, its states and the accessibility it needs — in English or Chinese, for pasting into an AI coding tool such as Claude Code or Cursor. Accepts ids, names or short descriptions.

  ConnectorNo auth

• apply_manifestA

  AnkraB

  Apply a Kubernetes manifest (YAML) to create or update resources. Supports any Kubernetes resource type. For resources managed by a stack, prefer add_manifest_to_draft + apply_stack_changes. Direct apply_manifest on ArgoCD-managed resources is rejected unless allow_bypass=true.

  Connector

  Destructive

  OAuth

• wakatime_get_all_time_since_todayA

  WakaTime MCP by usefulapiA

  Total coding time since the user's WakaTime account (or one project) was created, with daily average and the range covered. GET /users/current/all_time_since_today.

  ConnectorNo auth

• find_modelsA

  Model TestedA

  Use this whenever the user asks which local or open-weight LLM is best, overall or for coding, documents or decisions, or which model they can run on their graphics card (VRAM) or Mac. Returns tested models ranked by our own test scores, best first; with a GPU or Mac memory size it only returns models that fit, plus the quantization to download and the memory it needs. Examples: 'best model for a 16 GB GPU', 'best coding model on a 32 GB Mac', 'best small model under 10B'.

  ConnectorNo auth