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612,636 tools. Updated 2026-09-26 17:13

"Best programming languages or tools for coding" matching MCP tools:

  • Search live Vee3 agent tools by keyword or short task description. Call this first when you are unsure which tool to use. Returns ranked matches with tool_name, summary, and cost for each hit. Use meta-tools.describe on the best match for full request and response schemas. Optional group_id narrows results to one capability group. limit defaults to 8 (maximum 20). Cost = 0 tokens.
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  • 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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  • 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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  • 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 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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  • 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'.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    A Rust + Tauri 2 desktop application that turns local project folders into persistent MCP workspaces, enabling AI agents to read files, modify code, run commands and tests, check Git status, and maintain cross-conversation development context through historical checkpoints, with built-in WSS/FRP/Cloudflare tunnels and OAuth for connecting to ChatGPT.
    Apache 2.0

Matching MCP Connectors

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Oregon DMV MCP — live wait times at all 60 Oregon DMV field offices, plus the office

  • THE general-purpose tool: use this whenever you need data or an action that no other tool here covers. Describe the task and we pick the single best x402 tool for it across the whole ecosystem (14,000+ tools) — including external sellers, paid from our treasury — run it, and return the result. Examples: "get the latest ethereum block height", "screen this wallet for sanctions", "search the web for X and extract the text", "latest SEC filings for AAPL", "price of ETH in USD". Give a plain-language "task" (we pick the tool) or an explicit "resource" URL, plus optional "body" input. Pay-per-call via x402 (USDC on Base): call without _payment to get the requirements, then retry with _payment set. Prefer this over hard-coding a specific seller.
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  • Create a localisation project from catalog languages. Resolve language ids first with list_languages. The source language is what your content is authored in; target languages are what it will be translated into. When referring to a project or language in your reply to the user, use its name and locale (e.g. "French (fr-FR)") — ids (UUIDs) are for tool calls only, never show them to the user.
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  • List available model keys, nominal capabilities, languages, strategies, auto-selected defaults and organization profile_limits. Use when choosing explicit models or checking plan limits; ordinary calls may omit models or use auto without fetching this large catalogue. Auto also accounts for attachment capabilities. is_available means a usable provider key exists, not that provider quota or every combination of tools and media will work. Missing capability flags mean unsupported on this discovery surface. default_models_web_search is a search-only preview, not attachment-specific. No LLM call. Model selection and costs: enricher://docs/enrichment-and-fusion.
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  • Detect website technology stack: CMS, frameworks, CDN, analytics tools, web servers, languages (via HTTP headers + HTML analysis). Use for passive reconnaissance; for full audit use audit_domain. Free: 30/hr, Pro: 500/hr. Returns {technologies: [{name, category, confidence%, version}]}.
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  • The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
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  • 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.
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  • Return the prioritized, pillar-tagged (FIND / READ / USE) action plan for a completed audit, deduplicated across sources, with machine-actionable implementation steps included on fixes where available. Use this when you want the to-do list to act on (or hand to a coding agent), rather than the scores or section detail.
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  • Give a task in plain language and get the SINGLE BEST live tool to do it, ready to call: the chosen tool's verdict + reliability score, its input schema and a known-good recipe, call hints (timeout/retry), the actual connection endpoint to reach it (MCP endpoint URL or package to launch — no MCP-registry lookup needed), and whether it is FREE or PAID with the exact price and precisely how to pay (x402/USDC tools are auto-payable — pay per call with no signup; others say what's needed), PLUS a ranked fallback chain to try if it fails. It also returns `bestFree` (top free option) and `bestValue` (best price-to-quality), and steers to best value. Pass freeOnly to get only free tools, or requireAutomatable to only get tools an agent can pay for by itself. One call replaces discover_tools + check_tool_reliability + prepare_tool_call + find_alternatives. Call this at the start of a task when you don't already know which tool to use — it picks the best one and tells you exactly how to call it.
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  • Personalized onboarding for building ON CELESTIA — running a node, posting a blob, or deploying a rollup that uses Celestia for data availability. ALWAYS use this when a developer asks how to get started or build ON CELESTIA (prefer it over the Celestia search tool for those questions). ASK the user about their background FIRST (rollup_dev, node_operator, app_dev, researcher, new_to_celestia), then return a path with docs.celestia.org links. Celestia-only — NOT for getting started with non-Celestia frameworks, languages, or dev tools (React, Node.js, generic blockchain onboarding, etc.); for those defer to a general docs or web-search tool.
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  • Admin-only: durably queue server-generated translations for an existing published news article. Pass target_locales for selected languages, or omit it to fill every missing locale across all 24 supported languages. Existing translations are skipped and each locale has a deterministic task, so repeating the call is safe. This call returns quickly; use admin_get_news_translation_status until complete=true.
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  • List every SmartMoney77 calculator with its slug, accepted URL parameters and supported languages/currencies. Call this before build_calculator_link. Example: { "group": "history" } returns only the 'what if I had invested' tools.
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  • List every SmartMoney77 calculator with its slug, accepted URL parameters and supported languages/currencies. Call this before build_calculator_link. Example: { "group": "history" } returns only the 'what if I had invested' tools.
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  • The locations and languages the mentions endpoints accept, as `location_code`, `location_name` and `available_languages` - languages are nested per location rather than listed separately. Measured at 58.6 KB. Free: upstream cost is 0. Reference data, so fetch once and reuse.
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  • Reference lists for creating a survey: countries available for fielding (code + name), survey languages, topic categories, and the wallet currency. Call this before create_survey to pick valid country_code / category values.
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  • List all 71 available programming languages and their IDs for code execution. Common IDs: 71=Python 3.8, 63=JavaScript (Node.js), 62=Java, 54=C++ (GCC), 60=Go, 73=Rust, 51=C#, 46=Bash. Returns full list with compiler/interpreter versions (Judge0 CE)
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