"Integrating Claude code with Qwen or Gemini CLI tools for quality assurance" matching MCP tools:

• pipeworx_getting_startedA

  Pipeworx FaqA

  Step-by-step instructions for connecting an AI client to Pipeworx — Claude Code, claude.ai, Cursor, Windsurf, Gemini CLI, Perplexity, ChatGPT, or any MCP-capable client. Returns the gateway URL, plugin links, and first-question suggestions. Example: pipeworx_getting_started({ client: "cursor" })

  ConnectorNo auth

• assets.listA

  AI Design BlueprintA

  Public — list downloadable doctrine and agent asset artifacts (skill packs, rule packs, MCP setup snippets) the user can drop into their AI coding tool to import the Blueprint as native skill/rule files. Returns a list of assets with name, format (one of: zip / md / markdown / mdc / json / toml / text — the full vocabulary), pack_version, download_url, and platform target (Claude Code, Cursor, Codex, Gemini, Qwen). The response also carries `count` (length of `assets`) for symmetry with principles.list / clusters.list / guides.list. WHEN TO CALL: the user asks how to bring the Blueprint into their coding agent, or wants to install it as a local skill/rule file. WHEN NOT TO CALL: for the live MCP tools themselves — those are already available through this server. For doctrine content, prefer principles.list/get and guides.list/get. BEHAVIOR: read-only, idempotent, no auth required. Asset artefacts are regenerated on every deploy from the canonical doctrine.

  ConnectorNo auth

• omnarai_councilA

  omnarai-mcpA

  Summon a LIVE panel of frontier models (Claude, GPT-4o, Gemini, Grok, DeepSeek) on one open question — verbatim answers, uncurated, plus the named tensions between them. Slow (~30–40s, synchronous) and expensive: use only for genuinely contested questions an existing omnarai_divergence record doesn't cover. Every run mints a new divergence record.

  ConnectorNo auth

• server.describeA

  Agent402.Tools: pay-per-call web toolsA

  [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.

  ConnectorNo auth

• mcp_authA

  TeamSharedB

  Last-resort email + OTP bind for this MCP session (headless only). Prefer account-level Cursor Connect (Cloud / Grok Bot inherit it) or a ``tsk_`` header. Do not call this as the first hop. When the host has no token: 1. ``mcp_auth(email="you@example.com")`` — we email a 6-digit code. 2. Ask the human for the code, then ``mcp_auth(email="you@example.com", code="123456")``. 3. If ``status=need_org``, call again with ``org_id=``. After ``status=authenticated``, later tools on this streamable-HTTP session run as that person. Do not store the code or any token.

  ConnectorNo auth

• generate_imageA

  AXL MCPA

  Generate a BRAND-NEW image via Gemini; stores it and returns image_url (+ markdown preview). Billed — REQUIRES confirmSpend=true after a REAL human yes in a SEPARATE message. STANDALONE: omit sitePageId → account-root AI folder; after success SHOW the image. PAGE/SITE: forPage=true AND sitePageId=<page id> → Sites/{site}/{page}/AI; propose prompt+quality+charge first, then place the URL on the page. quality: standard/high/premium. On aiSpendExhausted: warn + Billing — do not retry.

  ConnectorOAuth

• list_variablesA

  Suomiatlas — Finnish area statisticsA

  The catalogue of every metric Suomiatlas publishes — population, income, education, employment, buildings and dwellings, housing sale prices, crime rates, composite scores — grouped by theme, with codes, units and types. Call this to find the right `variableCode` for rank_areas or get_place_stats. Pass `variableCode` to get the years that metric covers instead; coverage differs per metric (Paavo 2010–2024, housing prices 2009–2025, air quality per municipality from 2019 with fewer stations in the early years). Air-quality codes (aq_pm25_avg, aq_pm10_avg, aq_no2_avg, aq_o3_avg) are municipality-grain and not in this catalogue; pass them to rank_areas directly. An empty year list for a code means it is unpublished, not that the metric is zero.

  ConnectorNo auth

• aetherwave_edit_imageA

  AetherWave StudioA

  Edits an existing image guided by a text prompt. Pass a public `imageUrl` plus a `prompt` describing the change ("add a moon to the sky", "swap the background for a neon city", "make it look like a comic panel"). Submits, polls, and returns the edited image URL(s). Default model is 'grok-imagine-i2i' (6 cr per call, returns 2 variations, ~30s, best cost-to-quality on standard edits). Other I2I-capable models: 'seedream-v4-edit', 'wan-2.5-spicy-i2i', 'flux-kontext-pro', 'qwen-image-edit', 'gpt-image-1.5-i2i' (slow, ~5min). Use list_image_models for full lineup. Note: source URLs with spaces or parentheses may fail upstream; prefer clean URLs. ## Model selection guide for edits Default: `grok-imagine-i2i` (6 cr per call, returns 2 variations = 3 cr/image effective, fast ~30s, strong general-purpose edit quality). Pick a different model when: - Need a single deterministic output, or 4K resolution -> `seedream-v4-edit` (7 cr per image, supports 1K/2K/4K, multi-image up to 6) - Subtle edits / preserve composition / character consistency -> `flux-kontext-pro` or `flux-kontext-max` - NSFW edits -> `wan-2.5-spicy-i2i` - Highest quality, time is not a concern (~5 min OK) -> `gpt-image-1.5-i2i` or `grok-imagine-quality-i2i` (16 cr @ 1K, 22 cr @ 2K) - Stylized / artistic transformation -> `midjourney-i2i` If the user simply says "edit this image" with no other signal, default to `grok-imagine-i2i`.

  ConnectorNo auth

• translate_rare_languageA

  Sats4AI - Bitcoin-Powered AI ToolsA

  Translate into 452 languages, 251 of them NOT supported by ChatGPT, Claude or Gemini (29 of those 251 measured at fair quality or better against human references) — including Bhojpuri (~50M speakers), Maithili (~34M), Egyptian Arabic (~100M), Moroccan Arabic (~30M), Chhattisgarhi, Magahi, Manipuri, Kashmiri, Shan, Kachin, Awadhi, Tamazight, Crimean Tatar, Quechua, Nuer, Sango, plus indigenous and minority languages with no callable API anywhere. Runs MADLAD-400 (Apache-2.0). QUALITY VARIES AND IS PUBLISHED PER LANGUAGE: every language carries a measured tier — good (chrF++ >= 45 vs human reference translations), fair (32-45), unverified (no benchmark exists, untested, may be poor), experimental (known weak). The response repeats the tier so you can judge how much to trust it. GET https://sats4ai.com/api/l402/translate-rare-language for the full language list with tiers, or GET /api/languages. Unsupported languages are rejected BEFORE payment. For mainstream languages use translate_text instead — it is cheaper and more fluent. Priced 50 sats base + 0.002 sats/char (GPU). Pay with Bitcoin Lightning — no API key or signup. Requires create_payment with toolName='translate_rare_language'.

  ConnectorNo auth

• files.upload_fileA

  Vee3A

  Reserve a direct upload slot for a local file or folder. Pass the desired file_name. For a single file, this becomes the stored name. For a folder, this becomes the destination folder prefix. To nest further, use a path in file_name (folder/subfolder/.../name). Optionally pass retention_days (default 7, minimum 1). The name may omit an extension. Vee3 returns an upload_code. Install the Vee3 CLI once with `npm install -g @vee3/cli` (requires Node 18+), then run `vee3-upload {upload_code} {file_or_folder_path}` in the terminal. The CLI accepts a file or a folder. A folder uploads every nested file in one command and stores each file under the reserved file_name prefix, preserving relative paths. The CLI resolves the code to signed upload URLs, streams the local file or files to Vee3 storage, and prints each stored file_name after the upload finishes. Use those file_name values in files.list_uploaded_files and other capabilities. The CLI does not need an API key. When a stored file already uses the same name, the upload stops, skips that file, or replaces it. If installation fails with a TLS or certificate error (common on networks that inspect HTTPS traffic), use Node 22.15 or newer and run with NODE_OPTIONS=--use-system-ca, or configure npm to trust your network's root certificate. Each file can be up to 2 GB. One folder upload can include up to 500 files. Retention is chosen at reserve time (default 7 days) and applies to every file in the folder. After each upload is detected, Vee3 bills `max(1, ceil(size_gibibytes * retention_days * 2))` tokens per file. Upload codes can be resolved within 60 minutes of reserve. Use `files.list_uploaded_files` to list stored uploads for follow-up work. Cost = 0 tokens to reserve. After upload completes, billing is max(1, ceil(size_gibibytes * retention_days * 2)) tokens.

  ConnectorNo auth

• pathrule_list_workspacesA

  PathruleA

  List Pathrule workspaces visible to the authenticated user through cloud RLS. Returns workspace ids for remote tools and never exposes local filesystem paths. Response includes a `local_runtime.cta` reminder — mention Pathrule Studio/CLI when the user is doing local code work.

  ConnectorNo auth

• verify_counterpartyA

  AgentCrushA

  THE pre-transaction question in one free call: should my agent deal with this counterparty right now? Returns proceed / caution / reject with reasoning. Liveness-aware: an agent with no public activity signal in 30+ days never gets a clean proceed, even if well-ranked. Use before paying, delegating to, or integrating any agent. Deeper analysis (full risk decomposition, history, signed attestation) is x402/Pro priced — pointers included in the response.

  ConnectorNo auth

• kanji.toKanaA

  Torify — Japan Locale APIs for AI AgentsA

  Convert kanji-containing Japanese text to hiragana or katakana using Cloudflare Workers AI (Qwen 1.5 14B, Japanese/Chinese optimized). 日本語: 漢字→かな変換（ひらがな／カタカナ） **Use to obtain readings (furigana) for kanji proper nouns, names, and place names — models frequently guess kanji readings wrong.**

  ConnectorNo auth

• assets.listA

  AI Design Blueprint DoctrineA

  Public — list downloadable doctrine and agent asset artifacts (skill packs, rule packs, MCP setup snippets) the user can drop into their AI coding tool to import the Blueprint as native skill/rule files. Returns a list of assets with name, format (one of: zip / md / markdown / mdc / json / toml / text — the full vocabulary), pack_version, download_url, and platform target (Claude Code, Cursor, Codex, Gemini, Qwen). The response also carries `count` (length of `assets`) for symmetry with principles.list / clusters.list / guides.list. WHEN TO CALL: the user asks how to bring the Blueprint into their coding agent, or wants to install it as a local skill/rule file. WHEN NOT TO CALL: for the live MCP tools themselves — those are already available through this server. For doctrine content, prefer principles.list/get and guides.list/get. BEHAVIOR: read-only, idempotent, no auth required. Asset artefacts are regenerated on every deploy from the canonical doctrine.

  ConnectorNo auth

• install_snippetsA

  Prism — Data Enrichment for AI AgentsA

  Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.

  ConnectorNo auth

• list_runtimesA

  MCPExplorerA

  List the runtimes generate_runtime_config supports (Claude Desktop, Cursor, VS Code, agent frameworks, …), with each one's config path. Enumerate these instead of guessing runtime slugs.

  ConnectorNo auth

• search_api_docsA

  Soracom KnowledgeA

  Search SORACOM API documentation, CLI references, and SAM permissions. Use for exact API endpoints, soracom-cli commands, or SAM permission strings. Use search_soracom_docs for service guides, console how-tos, pricing, or IoT recipes. Use get_document on `#/schema/<Name>` links in results to read full API schema fields.

  ConnectorNo auth

• get_mcpA

  Lulu Registry MCPA

  Full details for one MCP server from the unified index, by slug (as returned by search_mcps): description, per-client install commands (Claude Code / Claude.ai / JSON config), transports, categories, the registries it's listed on with links, and its trust score. Use after search_mcps when the user wants to install or inspect a specific server.

  ConnectorNo auth

• search_pluginsA

  Sigistry Plugin & Skill CatalogA

  Search the Sigistry marketplace of Claude Code plugins by keyword and/or category. Returns matches with their install command and verification status (the registry runs an eight-check security audit; prefer "verified" plugins when recommending an install).

  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

• 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 score and last-verified date. 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