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

• shippingrates_lines

  FreightGate MCP Server

  List all shipping lines in the ShippingRates database with per-country record counts. Use this to discover which carriers and countries have data before querying specific tools. Returns each carrier's name, slug, SCAC code, and a breakdown of available D&D tariff and local charge records per country. FREE — no payment required. Returns: Array of { line, slug, scac, countries: [{ code, name, dd_records, lc_records }] } Related tools: Use shippingrates_stats for aggregate totals, shippingrates_search for keyword-based discovery.

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• load_fundamental_workflow

  Shibui Finance

  Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

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• list_tools

  tickerr

  List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.

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• ai_models

  dynamic-feed

  Current & trending AI MODELS from the open-model ecosystem (Hugging Face) — name, org, task, popularity (likes/downloads) and release date. Use for "what AI models are trending / newest / what's the latest <X> model". This is the OPEN side (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi…); for the closed flagships (GPT, Claude, Gemini, Grok) with pricing & versions use search_ai_models. Args: query: search a model name (e.g. llama, qwen, whisper). org: filter by org/author (e.g. meta-llama, deepseek-ai, Qwen, mistralai, google). task: text-generation (default), text-to-image, automatic-speech-recognition, … or 'any'. sort: trending (default) | newest | downloads. limit: max results. Every value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required.

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• aetherwave_edit_image

  AetherWave Studio

  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`.

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• assets.list

  AI Design Blueprint

  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.

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• edit_image

  Avocado AI

  Modify an existing image, standalone — the result is retrievable ONLY via check_job and is NOT placed anywhere automatically. If a flow_id is in play (the Flows Director / a storyboard), do NOT use this tool — use edit_image_to_flow instead, so the result actually lands in the user's Director Library. REQUIRED input: exactly one of file_id OR image_url. base64 is NOT accepted — do not try to pass image bytes as a tool argument, the call will be rejected. For chat-attached images you MUST first call prepare_image_upload to get a signed PUT URL, get the bytes uploaded (the user drops the image into the inline widget on Claude.ai; curl only in Claude Code / CLIs with a real shell — a Claude.ai code sandbox cannot reach the URL), then call this tool with the returned file_id. For URLs the user has pasted, use image_url directly. Returns a jobId immediately; call check_job with the jobId to retrieve the edited image inline. Models: 'nano-banana-2' (fast, default, 1 credit/image), 'nano-banana-2-lite' (fastest/cheapest, single-image touch-ups, 1 credit/image), and 'gpt-image-2' (higher quality, 1-4 credits/image by quality tier).

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• prepare_image_upload

  Avocado AI

  MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. How the bytes get uploaded depends on WHERE you run, and the discriminator is network access to the URL, not shell access: (a) Claude.ai (web, desktop, or mobile app): this tool renders an inline upload widget. The user drops the image into it; it uploads from their browser and pushes the file_id back automatically. Your code-execution sandbox has NO network route to the signed URL — a chat attachment sitting on the sandbox filesystem does NOT mean you can upload it. NEVER attempt curl/fetch/Python uploads from a sandbox and never investigate domain allowlists; just ask the user (one short sentence) to drop the image into the widget, then stop and wait. (b) Claude Code / a CLI with a real shell on the user's machine: run the ready-made curl PUT from the response text. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.

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• get_finnish_statute

  Velvoite — EU Financial Regulatory Compliance

  Return the canonical Finlex URL for a Finnish statute so Claude can fetch its text. Finlex (finlex.fi) is the official Finnish statute database — no public JSON API exists, but the URL can be fetched with WebFetch to retrieve the statute text. Accepts a short law code (e.g. 'TSL', 'OYL', 'SRL', 'LLL') OR a direct year/number reference (e.g. '2012/747', '2014/610') for statutes not in the known-code list. Use search_finnish_statutes to find the year/number for an unknown statute. Known codes include: TSL, OYL, TVL, SRL, AML, MLL, LLL, RPTRL, AIFML, SIJRL, VYL, FIVAL, VVTL, HETIL, LSL, KSL, YTL, VLL, TAL, KEKSINTOL, MRIL. Args: law_code: Short law code (e.g. 'TSL', 'SRL') or year/number (e.g. '2012/747'). Case-insensitive. section: Optional section in 'chapter:paragraph' format (e.g. '3:5', '6:3'). Omit for the full act.

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• create_account

  mcp

  Sign up for a brand-new sota.io account from inside Claude — no browser, no copy-paste. Two-step flow: STEP 1: Call with just `email`. We send a 6-digit confirmation code to that email. STEP 2: Call again with `email` + `code`. We verify, create the account on the Free tier (3 projects, EU-hosted, no credit card), generate a sota.io API key, and return it to you. After Step 2 you'll get back a key like `sota_…`. **Save it in a safe place** — you'll need it for any subsequent sota.io tool call in Claude (or you can use it with the sota CLI). It is shown ONCE and never recoverable. sota.io is an EU-native PaaS hosted in Germany — GDPR-compliant by default, no CLOUD Act exposure. Disposable / throwaway email addresses are not accepted; use a real address.

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• check_endpoint_health

  OnchainAI

  Premium x402 trust data: endpoint liveness, 30-day probe uptime, and last probe time for a listed x402 tool. Requires x402 micropayment per call (HTTP 402 + PAYMENT-REQUIRED header). Standard MCP clients (Claude Code, Cursor) cannot complete payment and may show a connection error — use free get_tool_detail for x402 verification flags, or GET /api/v2/premium/check-endpoint-health/{slug} with an x402-capable HTTP client.

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• shippingrates_lines

  freightgate-mcp-server

  List all shipping lines in the ShippingRates database with per-country record counts. Use this to discover which carriers and countries have data before querying specific tools. Returns each carrier's name, slug, SCAC code, and a breakdown of available D&D tariff and local charge records per country. FREE — no payment required. Returns: Array of { line, slug, scac, countries: [{ code, name, dd_records, lc_records }] } Related tools: Use shippingrates_stats for aggregate totals, shippingrates_search for keyword-based discovery.

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• shippingrates_lines

  ShippingRates MCP Server

  List all shipping lines in the ShippingRates database with per-country record counts. Use this to discover which carriers and countries have data before querying specific tools. Returns each carrier's name, slug, SCAC code, and a breakdown of available D&D tariff and local charge records per country. FREE — no payment required. Returns: Array of { line, slug, scac, countries: [{ code, name, dd_records, lc_records }] } Related tools: Use shippingrates_stats for aggregate totals, shippingrates_search for keyword-based discovery.

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• tascan_add_tasks

  TaScan

  Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.

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• discover_commerce_tools

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Discover AXIS install metadata, pricing, and shareable manifests for commerce-capable agents. Free, no auth, and no mutation beyond read access. Example: call before wiring AXIS into Claude Desktop, Cursor, or VS Code. Use this when you need onboarding and ecosystem setup details. Use search_and_discover_tools instead for keyword routing or discover_agentic_purchasing_needs for purchasing-task triage.

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• get_status_summary

  TensorFeed

  Get the live operational status of every major AI service tracked by TensorFeed (Claude, ChatGPT, Gemini, Perplexity, Cohere, Mistral, HuggingFace, Replicate, Midjourney, etc). Polled every 2 min. Returns operational | degraded | down per service plus the most recent incident.

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• get_ai_traffic

  RevenueScope: Japanese EC RPS Benchmarks

  Return AI-assistant (ChatGPT/Claude/Perplexity/Gemini/Copilot) traffic for the given period. mode='referred' (default) lists landing pages that received clicked AI traffic — per page × AI source: sessions, bounce rate (%, always computed; judge reliability via the sessions count), summed revenue, and last citation date (default limit 100); a view GA4/GSC cannot produce (GSC is Google-search only; GA4 lacks an AI-source breakdown). mode='gaps' returns where the site leaves AI value on the table as a ranked action list: (1) missed_citation_pages — content articles with real audience but ~0 AI traffic (push for AI citation / GEO), ranked by engagement-weighted reach; (2) under_monetized_ai_pages — pages WITH AI traffic engaging below the site's own AI norm (improve landing/CTA), ranked by AI arrivals lost below benchmark (default limit 10/list); methodology fixed in code. site_id is OPTIONAL when OAuth-authenticated. Default period is the last 30 days; pass period='today'/'7d'/'90d' or a raw day count (1-365). Scope is clicked citations only.

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• install_snippets

  Omnicall — Agent Tools Gateway

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

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• asvs_chapters

  Owasp

  Table of contents for the OWASP ASVS 5.0 (Application Security Verification Standard): the 17 chapters (V1–V17) with names and requirement counts per assurance level. Use to discover which chapter to pull with asvs_requirements.

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• switch_subproject

  deerdawn

  Set which subproject is active for this codebase, so start_session, update_context, and manage_todos target it by default. The choice is remembered per workspace until you switch again. Keyed to the codebase (workspace_key), which the Claude Code / Cursor MCP sends automatically.

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