"Enhancing AI for Coding" matching MCP tools:

• 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.

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• 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.

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• 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.

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• 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.

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• search_agent_directoryA

  TensorFeedA

  Search the TensorFeed Agent Self-Directory for hireable AI agents. Filter by skill (from a controlled vocab including research, data-analysis, coding, content-writing, voice-acting, image-generation, etc), service_area (research/data/coding/writing/voice/image/video/other), language (BCP 47), availability, hourly rate cap, minimum years of experience, or verified-hireable status. Verified-hireable members (operators paying $5 USDC/30 days for top-tier visibility) sort first. Free tier capped at 25 results. Returns wallet, display_name, operator_url, skills, rates, languages, years_experience, composite reputation rank, trust grade. TF publishes self-descriptions; TF takes no fee from off-platform transactions between operators and the agents who contact them.

  ConnectorNo auth

• lint_task_specA

  Reality Graph Verification ToolsA

  Check whether a free-text work order for an AI coding agent is verifiable BEFORE handing it over. Heuristic, deterministic lint of the task's form against the four building blocks of a checkable task (goal, boundaries, acceptance criteria, validation plan) plus rule checks (vague adjectives without numbers, unnamed unhappy paths, missing file anchors). Returns a status table with evidence, the concrete questions that close each gap, and a fill-in skeleton. It checks form, not content — no LLM, nothing stored. Set lang='de' for a German report.

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• 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

• request_attention_focusA

  freedom-mcpA

  Raise an EXISTING coding tab on the operator machine (OS focus) for THIS operator's desk. Use when they say "show me that Grok", "bring up Claude", or "focus the freedom-ai session". Queues ATTENTION_FOCUS_V1 sticky for desk launcher (same bus as spawn). Does not inject work — pair with create_attention_directive to push. Prefer after list_attention_sessions matched a live session_id. [write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time. Call it on the first clear ask; the card is the yes — do not re-ask in chat.]

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  Destructive

  No auth

• polish_and_proveA

  StandoutA

  THE PRIMARY STANDOUT WORKFLOW. Use this when a user wants an AI-built website made client-ready without choosing individual design tools. First call: pass url (best), source, or business. Standout captures the baseline, scores the real phone and desktop render, chooses a coherent direction, and returns the exact implementation contract for the coding agent. The agent MUST apply the fixes in the repository. Final call: pass the original url/source plus after_url/after_source. Standout compares both versions and produces a client-safe before-and-after report and share link. Do not stop after returning advice; the completed outcome is fix, rerender, prove.

  ConnectorNo auth

• vibekit_chatA

  VibeKitA

  Send a message to an app's built-in AI coding agent, which reads, writes, and modifies the app's code and redeploys it. Use for 'build/make a change to my app' requests. If the agent finishes quickly you get its reply directly. Otherwise you get status:'working' — do NOT resend; instead give the user LIVE progress: poll vibekit_agent_status every few seconds and relay the current step from activity.status ('editing the homepage…', 'deploying…') until activity.done, then read vibekit_agent_history for the final reply.

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• designesy_skill_mdA

  DesignesyA

  Get the Designesy SKILL.md: the agent-skill-format export of the design-system contract, written as behavioral rules an AI coding agent can drop into .agents/skills/ or a system prompt. Use this when you want the contract in a form that steers how an agent *builds* UI (tokens, anti-patterns, behavioral rules, verification). When NOT to use: for the raw contract JSON, use designesy_contract; for scoring, use designesy_score. Read-only: no side effects. Returns markdown text (SKILL.md format) to drop into .agents/skills/ or paste into a system prompt. No parameters.

  ConnectorNo auth

• designesy_guardrailsA

  DesignesyA

  Generate a frozen build-contract bundle for AI coding agents from any design system URL (the product layer). Ingests a site, extracts its :root tokens, and emits 6 outputs: (1) DTCG-format token file, (2) Stylelint config generated from token values, (3) AGENTS.md-format rules with token allowlist, (4) component contract with allowed prop patterns, (5) anti-pattern documentation, (6) DESIGN.md file (Google open spec, google-labs-code/design.md), the de-facto AI-readable design-context standard: YAML front matter plus a markdown body. Use this when you need to turn a design system into the file AI agents read and the lint that enforces it. When NOT to use: for design-contract scoring, use designesy_score; for token-file validation, use designesy_tokens_score; for drift detection, use designesy_drift_score. Executable: fetches the URL, extracts CSS + :root custom properties, generates the bundle. No browser needed. Returns JSON: { ok, url, score (0-100, emission completeness), grade, pass, warn, fail, total, tokensExtracted, bundle: { tokens, lintConfig, agentRules, componentContract, antiPatterns, designMd }, checks[{id, item, category, status, detail}] }. Results cached ~24h per URL.

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• vest_search_toolsA

  vest-mcpA

  Search and browse AI tools available in Vest's cashback catalog. Returns names, slugs, categories, and live cashback rates. Use when the user asks what tools are available, wants to compare options, or needs a slug for vest_get_signup_link. Real triggers: 'what AI writing tools does Vest have?', 'show me coding tools with high cashback', 'find tools under $50/mo'. Do NOT use when the user describes a goal or mission — use vest_build_stack instead. Do NOT use to get a signup link — use vest_get_signup_link.

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• 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.

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• 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.

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• list_topicsA

  Umesh Malik Blog & ProfileA

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

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• check_siteA

  BotFriendlyA

  Score how bot-friendly a website is (0-100). Fetches the site the way an agent would — no JavaScript, no cookies — and checks access (reachability, HTTPS, robots.txt, AI crawlers allowed, real 404s), content without JavaScript (H1, 500+ chars of raw text, metadata, JSON-LD), and machine discovery (llms.txt, sitemap, OpenAPI spec or ai-plugin.json), with evidence and fix advice per check. Set format to 'prompt' to instead get a ready-to-paste coding-agent prompt that fixes every failed finding. Rate limited to 6 checks per minute per caller; each check takes a few seconds.

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• report-ai-usage-toolA

  CoderbudsA

  Report that you — the coding agent — wrote or helped write this change, and how much of it. Coderbuds otherwise has to infer AI authorship from the shape of the diff, and a heuristic that decides who counts as an AI adopter is a heuristic that decides where a CTO spends budget. You already know the answer. Say it, and the team's AI numbers stop being a guess. Call this once per change, after the work is done — ideally with `pull_request_number` once the PR exists, or `branch` before it does. Re-reporting the same change refreshes the record rather than double-counting it, so it is safe to call again as the work evolves. Set `authorship` honestly: `agent_authored` (you wrote essentially all of it), `agent_assisted` (you wrote a meaningful part, a person wrote the rest), or `human_authored` (a person wrote it and you only looked things up or reviewed). Set `human_reviewed` to whether a person actually read the diff before it went up — that is the governance number a board asks for, and guessing it helps nobody. Reports are team-visible and attributed to you. The response tells you whether Coderbuds' own detector agreed with your report; where it did not, yours is the one that counts.

  ConnectorOAuth

• leadersA

  WakatimeC

  Fetch WakaTime's public coding leaderboard; optionally filter by language or country_code and paginate; returns ranked users with display names and weekly coding totals.

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• get_topic_briefA

  New Runtime public recordsA

  Use when you need the background on one AI-engineering topic in one call: its summary, what was published on it in the last fortnight, and the top related patterns, shifts, field notes and news signals with URLs. Free, no auth. Example: {"topic": "coding-agents"}. Topic list: https://newruntime.com/topics.json.

  ConnectorNo auth

• recommend_toolsA

  Agentic.ai DirectoryA

  Get AI-powered tool recommendations for a specific need. This is the recommended starting point — describe what you're looking for in natural language and get curated, ranked results with explanations. Handles search, filtering, scoring, and ranking in one call. Use this instead of chaining search_listings + get_listing + compare_listings. Examples: - "best coding agent for a small startup on a budget" - "open source alternative to Cursor for VS Code" - "autonomous customer support agent with MCP support" - "self-hosted data analysis tool for enterprise"

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