"AI-assisted Code Refactoring Tools and Techniques" matching MCP tools:

• atlas_technique_searchA

  ContrastAPIA

  Search the MITRE ATLAS catalog of AI/ML attack techniques by keyword, tactic, or maturity. Default response is SLIM (description truncated to 240 chars per row); pass include='full' for the verbose record. Pass exclude_id when chaining from atlas_technique_lookup to skip self in sibling-tactic searches. Use this to discover techniques matching a threat-model question, e.g. 'what techniques target LLM serving infrastructure?'. Drill into atlas_technique_lookup with any returned technique_id for the full description, ATT&CK bridge, and pivot hints. For broader cross-referencing: when a result has attack_reference_id, that bridges to D3FEND mitigations via d3fend_defense_for_attack. Free: 30/hr, Pro: 500/hr. Returns {query (echoed filters), total, results [{technique_id, name, description (truncated by default), tactics, inherited_tactics, maturity, attack_reference_id, subtechnique_of}], next_calls}.

  ConnectorNo auth

• get_toolA

  The AI Tools IndexA

  Fetch the full public detail for one AI tool by its listing slug (as returned by search_tools' toolUrl, e.g. '/tools/acme-writer' -> slug 'acme-writer'). Call this after search_tools to get a tool's full description, launch date, revenue signals (verified or self-reported), and for-sale status. Returns null if the slug doesn't resolve to a live The AI Tools Index listing.

  ConnectorNo auth

• map_agent_oversightA

  7IT SolutionsA

  Use this when someone asks which actions their AI agent or its connected tools may take on their own, which need a person's approval, and which a person must do; or how to set up human oversight, permissions or AI governance for an agent (for example under the EU AI Act). Give either the address of a public MCP server, or the list of tools the agent has (name, description and annotations). Sorts every tool into green (runs alone: reads and prepares), yellow (a person approves: sending, updating, scheduling) or red (a person does it: money, permissions, deletion, code execution, commitments), flags tools with no risk annotations, and returns a ready policy, Claude Code permission rules (allow, ask, deny) and an oversight checklist. Reads tool lists only and never calls a tool. A working checklist, not legal advice.

  ConnectorNo auth

• search-music-docsA

  Music StudioA

  Search detailed documentation for Strudel live coding or ABC/ABCJS notation. Returns relevant code examples and explanations from the official docs. Use this when the curated guides (get-strudel-guide, get-music-guide) don't cover what you need — for specific functions, advanced techniques, or when you're unsure about syntax. Powered by semantic search over strudel.cc and ABCJS docs.

  ConnectorNo auth

• category_landscapeA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• category_landscapeA

  RightAIChoiceA

  Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own survival score and the date our record of it was last rebuilt. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).

  ConnectorNo auth

• bulk_atlas_technique_lookupA

  ContrastAPIA

  Bulk ATLAS technique lookup — retrieve full records for up to 50 techniques in a single request instead of N separate atlas_technique_lookup calls. Designed as the natural follow-up to atlas_case_study_lookup, whose techniques_used array can be passed directly. Each item is the same shape as atlas_technique_lookup, including parent-tactics inheritance for sub-techniques (inherited_tactics=true flag) and per-item next_calls (D3FEND bridge when attack_reference_id present, sibling-technique search by tactic, parent lookup for sub-techniques). Free: 30/hr (1 per item), Pro: 500/hr. Returns {results [{technique_id, status (ok|not_found|invalid_format), technique, error}], total, successful, failed, partial, summary}.

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• quick_inventory_diagnosisA

  synplex-mcpA

  Low-friction inventory health estimate for Shopify merchants. Use this when the merchant doesn't have precise inventory figures — requires only monthly revenue, SKU count, and industry segment. Inventory value and dead stock are estimated from industry benchmarks; all assumptions are returned transparently. Returns a 0–100 health score, risk flags, plain-language diagnosis, and prioritised recommended actions. Ideal for AI-assisted lead qualification and first-contact diagnostics. For a precise score using actual inventory figures, use inventory_health_score instead.

  ConnectorNo auth

• lookup_wordA

  Word Orb — English vocabulary for reader glossariesA

  Look up one English headword. May generate and cache a missing record using AI. Definitions and optional IPA, etymology and translations are AI-assisted and may be incomplete or incorrect. Use lookup_words when you require stored records only. Requires a Word Orb key; counts toward account quota.

  ConnectorNo auth

• consent_listA

  Chia Health MCPA

  Get the list of all consent documents a patient must accept before ordering medication. Returns consent IDs, titles, summaries, and order of presentation. Required consents include: telehealth informed consent, compounded medication treatment consent, pharmacy authorization, HIPAA notice of privacy practices, and AI-assisted intake disclosure. Each consent must be fetched individually via consent_text and confirmed by the patient before proceeding. Requires authentication.

  ConnectorNo auth

• consent_listA

  Chia Health MCP ServerA

  Get the list of all consent documents a patient must accept before ordering medication. Returns consent IDs, titles, summaries, and order of presentation. Required consents include: telehealth informed consent, compounded medication treatment consent, pharmacy authorization, HIPAA notice of privacy practices, and AI-assisted intake disclosure. Each consent must be fetched individually via consent_text and confirmed by the patient before proceeding. Requires authentication.

  ConnectorNo auth

• classify_intentA

  ContextOverflowA

  Describe what's going wrong — your human's complaint, or a failure you notice in your own behavior — and get the matching techniques. Deterministic matching; if the description fits two problems it returns one clarifying question instead of guessing.

  ConnectorNo auth

• glim_detect_aiA

  glim.shA

  Detect AI-generated text. Scores any text for AI-authorship likelihood and returns an overall verdict (AI / human / mixed) with confidence, the AI/human/AI-assisted fractions, and a segment-by-segment breakdown showing exactly which parts read as AI-written - including per-segment humanizer flags (AI output run through paraphrasing/'humanizer' tools). Use it to verify whether content (comments, articles, profiles) is AI-generated, or to check text before publishing to see which segments would trip AI detectors - revise the flagged segments and re-check. Cost scales with text length: $0.06 per 100 words, rounded up, minimum $0.06. Max input 20,000 characters.

  ConnectorNo auth

• deadpool_digestA

  RightAIChoice — verified AI tool dataA

  Use this when the user asks how many AI tools die, AI startup failure or shutdown rates, which AI categories decay fastest, how risky the AI tool market is, or for data behind "most AI tools fail" claims. Returns two clearly separated datasets: (1) LIVE catalog decay — 8,000+ verified AI tools with broken vendor-link rates, dead-homepage counts, pricing opacity, and the fastest/slowest-decaying categories, updated daily; (2) a FROZEN dated survival study of 2,291 top Product Hunt launches (of the 2,066 with a determinable outcome, 24.4% are dead within ~2 years). Every figure carries its as-of date. Data comes from the RightAIChoice verification engine; link-decay figures count only VENDOR-published links (site/docs/changelog/repo), never our own derived URLs. Not for: checking one specific tool (use check_tool_status) or predicting a specific tool's future (use viability_score). Decay rates describe categories and cohorts, not individual products.

  ConnectorNo auth

• deadpool_digestA

  RightAIChoiceA

  Use this when the user asks how many AI tools die, AI startup failure or shutdown rates, which AI categories decay fastest, how risky the AI tool market is, or for data behind "most AI tools fail" claims. Returns two clearly separated datasets: (1) LIVE catalog decay — 8,000+ verified AI tools with broken vendor-link rates, dead-homepage counts, pricing opacity, and the fastest/slowest-decaying categories, updated daily; (2) a FROZEN dated survival study of 2,291 top Product Hunt launches (of the 2,066 with a determinable outcome, 24.4% are dead within ~2 years). Every figure carries its as-of date. Data comes from the RightAIChoice verification engine; link-decay figures count only VENDOR-published links (site/docs/changelog/repo), never our own derived URLs. Not for: checking one specific tool (use check_tool_status) or predicting a specific tool's future (use viability_score). Decay rates describe categories and cohorts, not individual products.

  ConnectorNo auth

• fetchA

  developer-toolkit-mcpA

  Retrieve the complete markdown of one documentation article by the id returned from `search` (for example `en/claude-code/advanced-techniques/hooks-automation`). The text is returned in full; `metadata.gated` only reports whether the article sits behind the paywall on the web. An unknown id is an error — call `search` first.

  ConnectorNo auth

• analyze_raw_emailA

  IntoDNS.ai DNS & Email Security ScannerA

  Read-only analysis of a pasted raw RFC-5322 MIME email source. Parses Authentication-Results, Received chain, SPF/DKIM/DMARC/ARC verdicts, sender IP reputation/blacklist status, content-side spam triggers (suspicious URLs, misleading From, content/HTML imbalance), and produces a 0-100 spam score plus AI-assisted fix suggestions. `rawEmail` is full headers+body, max 500KB. Use to debug a specific failing email when the user can paste the raw source from their MUA; use create_email_test instead when the user can resend it. POST body is processed in-memory and not stored. No auth.

  ConnectorNo auth

• suggest_refactoringA

  ALM X++ MCP ServerA

  WHEN: developer wants to improve code quality before a PR merge or code review. Triggers: 'refactor', 'clean up', 'simplify', 'too long method', 'nested ifs', 'code smells', 'améliorer le code'. Suggest concrete refactoring actions for YOUR custom D365 F&O X++ code. [!] Only runs on custom/extension code (D365_CUSTOM_MODEL_PATH). Refactoring standard Microsoft code is not actionable. Analyzes: long methods (extract method), deep nesting (guard clauses), row-by-row operations (set-based), large switch statements (strategy pattern), hardcoded strings (constants), unprotected CLR calls (error handling), wide transactions (narrow scope). Returns before/after code examples.

  ConnectorNo auth

• list_examplesA

  EpsilonA

  List runnable Epsilon integration examples (Python cron DCA, LangChain tools, Vercel AI SDK tools, Telegram bot). Fetch full source with get_example. No API key required.

  ConnectorAPI key

• get_countriesA

  GotCashback MCPA

  Returns the countries GotCashback covers, each with the lowercase ISO 3166-1 alpha-2 'code' to pass as country_code to the other tools (the United Kingdom is 'gb'). Use it only to confirm whether a country is supported or which code to use; it is not needed before store, cashback or gift card lookups — those tools accept country_code directly and search all countries when it is omitted.

  ConnectorNo auth

• get_countriesA

  GotCashbackA

  Returns the countries GotCashback covers, each with the lowercase ISO 3166-1 alpha-2 'code' to pass as country_code to the other tools (the United Kingdom is 'gb'). Use it only to confirm whether a country is supported or which code to use; it is not needed before store, cashback or gift card lookups — those tools accept country_code directly and search all countries when it is omitted.

  ConnectorNo auth