"How to reformat Claude code to match the original Anthropic version" matching MCP tools:

• wait_for_otp

  Palmyr

  Wait for an SMS verification code / OTP to arrive on a Palmyr phone number you own, and return the parsed code. Blocks up to timeout_s (default 60, max 90) checking every ~2s — one call replaces hand-rolled polling of phone_read_messages during account signups and 2FA flows. Messages that arrived up to lookback_s seconds (default 10) BEFORE the call also match, so a code that landed early is not missed — pass lookback_s=0 when reusing a number across signups so a stale code can't be re-served. Default extraction handles standalone 4-8 digit codes, 'code is/code:' tokens, and Google-style G-XXXXXX; pass pattern to override (max 256 chars; a pattern that blows its per-match budget is dropped mid-wait and pattern_timeout: true is reported). Returns { found: true, code, message_text } on a hit or { found: false, waited_s } on timeout (not an error — just call again). Costs 0.02 USDC, paid per-action via x402.

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• redact_text

  mcp

  Use this when scrubbing test/dev text: replaces each occurrence of the given terms with block characters (████). Provide `text` plus `terms` (a comma-separated string or an array of strings). By default it matches whole words only using Unicode boundaries (so "ann" will not match inside "annual") and is case-insensitive; set `caseSensitive` to match exactly, `wholeWords: false` to match substrings, or `fixedWidth: true` to hide each term's length behind a constant-width bar. Returns the redacted text and a replacement count, and never echoes the original terms. Deterministic: same input, same output. Truly sensitive text is better redacted client-side at clean.tools/text-redact/. Example: {text: "Contact Jane Doe", terms: "Jane Doe"} -> redacted "Contact ████████", redactedCount 1.

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• list_artifact_versions

  AIOProductOS MCP

  Version history of an artifact's AI reviews (F5): every review run is a version with its score, model, cost, who/what generated it, and whether it's the current one. Read-only; returns the version list, empty when the artifact has never been reviewed. Use it to see how a feature/experiment/page's review changed over time and to pick the version_id to pass to revert_to_version. Takes the same target_id/target_type you'd pass to review_artifact.

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• get_available_models

  Gonka Second Opinion (multi-model)

  List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.

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• createAudioTransform

  Ludo AI Game Assets

  Remix an existing audio sample (a sound effect, ambiance, or music clip) into a variation guided by a text prompt, for example turning a track into an 80s synthwave or metal version. Both the sample and the prompt are required; the sample is uploaded as a URL or base64 audio and must be at most 15MB or the call returns HTTP 400, and duration must be one of the allowed values (0 means match the source, otherwise multiples of 10 up to 180 seconds). Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. The optional modification_strength (0 to 1, default 0.5) controls how far the result departs from the original. Credits are charged on success. Use this to transform existing audio you already have; use createSoundEffect, createAmbiance, or createMusic to generate audio from scratch. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 3 credits per call.

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• adcritter_get_platform_overview

  AdCritter for Builders

  Start here. Returns the AdCritter platform overview - what AdCritter is, the entity hierarchy (organization > advertiser > campaign > ad), the happy path for getting ads running, and how to navigate the other MCP tools. Applications built from this guidance are REST API clients that call /v1/ endpoints, not MCP tool callers. Before writing code, call adcritter_get_api_reference(entity, action) for each entity and action you plan to use - tool descriptions and parameter names describe conceptual behavior only, and do not match actual API routes, field names, query parameters, or response shapes.

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• get_analyst_config

  TunnelMind Data API

  Returns the TunnelMind analyst config bundle. Configures any LLM (Claude, GPT, Gemini, local) to behave as a TunnelMind analyst that knows the data graph, follows the 5-call golden path, and surfaces attestation_tier on every claim. The bundle is signed inline (Ed25519, key_id from /.well-known/receipt-signing-key.json). Add `?receipt=true` to wrap the response in a Receipt v1.0 envelope for end-to-end audit. Use this tool when: - You want to configure a new LLM runtime to act as a TunnelMind analyst - You want to verify the system prompt you're running matches what TunnelMind serves - You're building a BYOM (bring-your-own-model) deployment and need the canonical config Do NOT use this tool when: - You want to call individual TunnelMind data tools — use the tools directly - You want to verify a specific receipt — use check_receipt_revoked or @tunnelmindai/receipt-verify Inputs (all optional): - `surface` (query): "data" (default, full surface), "scry", or "sigil" - `version` (query): pin a specific bundle version (e.g. "1.0.0" or "1" for latest 1.x.y) - `receipt` (query): "true" to wrap the response in a signed Receipt v1.0 envelope Content negotiation (via Accept header): - `application/json` (default) — full bundle JSON - `text/markdown` — system prompt only (Anthropic flavor) - `application/vnd.anthropic.config+json` — Anthropic-shaped subset - `application/vnd.openai.config+json` — OpenAI-shaped subset Returns: - `version`, `schema`, `issuer`, `surface`, `surface_label` - `system_prompts.{anthropic,openai,generic}` — three encodings of the same semantic prompt - `tools.surface_subset` — array of operationIds for this surface (null = all) - `response_format` — JSON Schema the analyst's verdicts must conform to - `attestation_tiers` — the 4-tier vocabulary (self_asserted → silicon_root) - `graph_state` — live corpus counts at serve time - `references` — URLs to the rest of the open-protocol layer - `bundle_signature` — inline Ed25519 signature for offline verification - `pin_recommended` — stable supply-chain identifier (survives hourly graph_state updates) Headers: `X-Bundle-Version`, `X-Pin-Recommended`, `ETag`, `X-RateLimit-*`. Cost: - Free, anonymous-accessible. Rate-limited on a SEPARATE counter from data-API calls (`cfg:ip:<ip>` identity) so a config refetch loop can't burn your data quota. Latency: - Typical <100ms (cached); cold fetch <500ms (live Supabase counts).

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• list_skills

  civilquants

  List the 10 senior-QS skill methodologies CivilQuants exposes (tender review, risk assessment, QS measurement/contract advice, geotechnical + geo-environmental interpretation, earthworks, preliminaries, pavement design, subcontract analysis). Universal discovery — both tiers see the full list. Returns each skill's slug, title, one-line summary and tier; then call get_skill(skill=<slug>) to fetch the methodology body. The skills are paid-tier; a free caller gets a sign-up prompt from get_skill. NOTE: the document-heavy skills (tender review, the interpretation skills) need a code-execution client (Claude Code / Codex / VS Code) plus the chunking pack from get_document_pipeline to run a real tender pack — on a chat connector you can read the methodology but cannot chunk/parse files.

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• glim_github_search

  glim.sh

  Search GitHub repositories, conversations (issues+PRs), or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos). Returns compact text by default; pass format='json' for full structured data.

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• resolve_product_code

  EU Trade Explorer

  Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-separated list) is validated and described directly. Tip: Comext/CN nomenclature is frequently coarser than a colloquial product name (e.g. there is no code for "glass jars" alone -- only heading 7010, which bundles jars with bottles, flasks and closures). Check `has_subcodes` and, if useful, set `include_children=true` to see whether a finer sub-code is actually a better match before committing to one code for a whole report.

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• ic_get_my_workshop_key

  Immersive Commons

  Retrieve the 5-hour Z.ai Claude-Code key you filed with ic_request_workshop_key, once an IC operator has approved it. Poll with the request_id that ic_request_workshop_key returned. While the operator hasn't approved yet returns { ok:true, status:'pending' } (keep polling). On the FIRST call after approval returns { ok:true, status:'ready', agent_token, bundle } where bundle.copy_paste is the paste-and-go Claude Code setup block. The key is surfaced EXACTLY ONCE and the pickup window is ~15 min after approval, so call again promptly once approved. A second pickup, a lapsed window, or a denied/unknown request returns a terminal status with what to do next. You can only retrieve your OWN request. Args: { request_id }. Required scope: keys:request.

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• find_properties_by_description

  PropertyList — Spanish Property MLS

  Match Spanish properties from a free-form description of what the user wants. Best for vague, conditional, or lifestyle-heavy briefs ("3-bed near a good international school, flexible on budget if there's a sea view"). Uses Gemini to translate the brief into one to three parallel structured searches across PropertyList's full MLS, then merges and ranks the results. Returns up to 9 listings with match scores and an explanation of how the brief was interpreted (and what couldn't be resolved).

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• server.describe

  Agent402.Tools — pay-per-call web tools

  [free] Describe this connector: flagship-first tools layer (search/answer as the front door), how to install (Claude Code / Cursor / npm), free vs paid tiers, and discovery URLs. Call this first.

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• preview_qr_encoding

  qart.uk QR studio

  Work out how a payload will encode as a QR code, without creating anything. Returns the exact string the pixels would carry, its byte length, the QR version and module count required, the capacity remaining at that version, and any warnings. Costs nothing and mints nothing. Use this to answer questions like "will this URL fit at error correction level H" or "how much does a long Wi-Fi password cost me in QR density". Higher ECC survives damage better but needs more modules for the same data; more modules print smaller and get harder to scan. payloadKind 'qart_code' sizes the RETARGETABLE variant instead: the pixels carry a 16-byte qart.uk/_ link rather than your data, which is usually several versions smaller. Compare the two before committing to a print. This returns metadata only, never the module grid. For the actual black/white matrix, call get_qr_matrix.

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• add_sync_point

  Clueso

  Insert one sync marker on a clip's transcript. Use this when: - The user is explicit about WHERE the camera should pause / cut (e.g. "sync the word 'submit' to 4.2s of the demo"). - `auto_sync` ran but missed a step you care about. How matching works: - `word`: case-insensitive, punctuation-stripped. The first match in the transcript is used unless `occurrence > 1`. - `occurrence`: 1-indexed — pass 2 to target the SECOND time that word appears, 3 for the third, etc. Required when the word repeats. - `timestamp_seconds`: clip-relative seconds. When the clip has run TTS already (`generated_timestamps` present), the server inverse-maps this to original-recording seconds automatically. Constraints: the clip MUST be a video clip with a source recording (otherwise the frame thumbnail can't be extracted). The transcript must already contain the word — if not, you'll get `word_not_found` with a 200-char excerpt of the transcript to help you retry.

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• price_guard_extension

  CurrencyGuard Guard Pricing

  Get an indicative price for extending a Guard to a later settlement date. Estimates the additional cost using: (1) the guard fee difference between extended and original expiry, (2) the guard spread cost from the roll, and (3) the CurrencyGuard extension margin. Returns a breakdown: extensionCost = feeDifference + guardSpreadCost + extensionMargin. Both the original and extended quotes are priced at the same guard rate (the original quote's strike), so the fee difference reflects purely the longer tenor, not market movement. Use this when a customer asks 'how much would it cost to extend my Guard by X months?' Parameters match price_guard plus the two dates.

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• search_legal_texts

  LibreJustice

  Find statutory articles from their subject or wording when the article number is unknown; returns a ranked shortlist with highlighted snippets and the exact `total`. Query in French, descriptive terms (« délai de recours contentieux refus implicite »); put the code in the `code` filter (slug or exact name), keep the query for the subject. The response carries a `facets` block (`code`, `jurisdiction`): per filter name, a map of filter value to article count — reuse those keys verbatim to refine. Chain a hit into get_legal_text with its `url`, plus `date` when the dispute is governed by an earlier version.

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• lookup_game

  Soren

  FREE — costs nothing, call it as often as you like. USE THIS FIRST when you know a game by NAME but not by identifier. Returns matching games with their slug, release date and type (main game, DLC, expansion, port, remaster) so you can pick the right one before paying. Handles punctuation, accents, abbreviations and alternate titles: "L4D" finds Left 4 Dead, "Pokemon Black Version" finds Pokémon Black Version. 12,388 titles in the catalogue are duplicated — Pac-Man appears 54 times — so the release date and type are how you tell a 1980 original from a 2008 remaster. Returns no prices. Take the slug and call get_game with it.

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• terminology_versions

  Medical Terminologies MCP

  List the current version, release date, publisher, source URL, and update cadence of every terminology this server queries against. Useful for pipeline maintainers who need to: - Confirm which release of ICD-11 / SNOMED / LOINC / RxNorm / MeSH / ATC the server is querying before a batch run. - Verify the bundled CID-10 (frozen at V2008) and ICD-10 → ICD-11 transition tables (currently 2025-01) match expectations. - Cite the data version in research artifacts. Pass `terminology` to filter to a single entry; otherwise the full set of 8 is returned. The ICD-10 → ICD-11 version reads live from the bundled dataset; everything else is metadata maintained alongside the project release.

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• get_knowledge_version

  Marmo UI MCP

  Returns the MCP knowledge version: gitSha, indexedAt, componentCount, patternCount, uptimeSeconds. Call this ONCE per session before generating UI code so you know how fresh the design-system data is. Cheap to call. If gitSha is "unknown" or indexedAt is far in the past, surface that to the user before relying on the data.

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