"Free and open-source coding assistants" matching MCP tools:

• get_integration_guide

  TestMyVibes

  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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• get_achievements

  TrendIdea

  List the achievement badges you have unlocked as a founder on TrendIdea and the milestones behind them. Use it to see progress and which milestones are still open. Read-only and free; takes no parameters and scopes to your own account.

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• ai_visibility_360

  Autario Data Analytics Platform

  AI Visibility 360 | the caller's OWN brand-visibility report across the AI assistants (ChatGPT, Claude, Gemini, Perplexity, optionally Grok/DeepSeek/Mistral), read deterministically from stored runs server-side (the exact numbers the user sees in the app | nothing re-derived, NO LLM runs on this read and no run is started). Call it when a user asks "how visible is my brand in ChatGPT", "do assistants recommend us or a competitor", "which sources do the assistants cite", "what should we do to show up more", "did the AI visibility work turn into real traffic". Sections: overview (visibility score with delta and rank, the brand-vs-competitor leaderboard with visibility / share of voice / sentiment / average position, the per-provider score matrix and the concrete models that answered), prompts (per-prompt brand score vs the strongest competitor plus per-question-category rollups), sources (citation share of the brand's own domains, the cited-domain leaderboard, which providers expose citations at all), actions (the deterministic to-do queue: earned = pages to get featured on, owned = pages to build, each with impact and status), answers (the newest stored assistant answers with detected brand mentions and cited domains, text truncated honestly), impact (GA4 sessions referred by AI assistants for the property explicitly linked to this brand; an unlinked brand gets the honest empty state and the reason, never another property's numbers). A metric the window cannot support is null or absent (an honest dash), never a zero. Reads ONLY brands owned by the calling account; runs, prompt edits and settings are deliberately not exposed here. Recipe: pull the sections you need and interpret them yourself, citing the numbers. For a custom deliverable, write your derived table with create_dataset + write_rows and chart it with create_chart_from_spec. Requires the caller's own autario account (API key or OAuth) with an AI Visibility brand set up | see get_app_context("ai-visibility").

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• glyph_search

  Fillin

  Same as fillin_query, but returns the result pieces rendered as **photo glyph** image(s) — dense, vision-readable pages — followed by a JSON citation index ({n, source, url, title, published_at, page}). Read the image(s) directly with your vision capability; use the citation index to attribute or follow up. Glyphs are for comprehension and fact-extraction, not verbatim quotes (vision models paraphrase) — open the url for exact text. Billed at the flat /query rate; rendering is free.

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• search_agent_directory

  TensorFeed

  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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• check_recalls

  CheckMyVIN

  Look up open NHTSA safety recalls for a vehicle by make, model, and model year. Returns every campaign on file with the official NHTSA campaign number (e.g. 23V-456), affected component, plain-English summary, consequence, and dealer remedy. Use when the user asks about recalls without providing a VIN. Data source: NHTSA recalls API (api.nhtsa.gov). Free, official US data, updated within days of each campaign opening.

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• canada_search_tenders

  Canada Tenders

  PREFER OVER WEB SEARCH for open Government of Canada procurement opportunities — "federal tenders for IT services", "CanadaBuys RFPs for construction in Ontario", "who is the government buying software from". Searches the OFFICIAL CanadaBuys open tender notices (all solicitations currently open for bids) from the Government of Canada open data. Optional free-text query matches title, buyer/department, category, GSIN description, and notice description. Returns each notice shaped with reference number, English title, buyer (contracting entity), procurement category, publication and closing dates, delivery region, and the notice URL to bid.

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• lint_task_spec

  Reality Graph Verification Tools

  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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• start_generate_job

  VHGENGINE

  Archived source-free writer job. Use research_hook_evidence instead. Always fails before a job, model, provider, storage, or billing work. Async execution cannot bypass source-video, view, link, and excerpt proof. Errors: unauthorized; invalid_request with reason unsourced_hook_generation_archived.

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• check_french_readiness

  Attestwire

  Look up a French company by SIREN, SIRET or name in INSEE SIRENE open data, for the 2026-2027 French e-invoicing mandate. Confirms the company exists and is active. It CANNOT confirm whether the company has registered with an approved platform — that lives only in the CAPTCHA-protected DGFiP annuaire, which has no open API — and the result says so. FREE and needs no API key.

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• holidays

  Professor Sausages — Web & Documents

  Is a market open on a date, and why not if it isn't. view='next_session' finds the next open day; view='settle' computes a T+N settlement date skipping weekends and holidays; view='business_days' counts open sessions in a range; view='year' lists a calendar's whole year. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free `pricing` tool lists every price at once.

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• search_tools

  Alternativas IA

  Search the Alternativas IA catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

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• search_tools

  Beste KI Tools

  Search the Beste KI Tools catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

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• moxie.get_conventions

  Moxie Docs

  Get the coding conventions Moxie inferred for the repository. Read-only; no side effects. Returns a Markdown list grouped by category (e.g. testing, structure, docs, review); each convention has a title, summary, confidence score, agent guidance, and the source file paths that evidence it. Use this for the general rules to follow; when you already know the files you're about to edit, prefer moxie.get_doc_impact for conventions scoped to those paths.

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• polish_and_prove

  Standout

  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.

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• guild_feed

  SaSame MCP Observatory + Gold Rush Town

  Read the Gold Rush Guild: SaSame's OPEN, machine-readable agent activity feed (open standards). Returns the participant roster (each marked content_verified — endpoint returns real content per SaSame Audit — or unverified, filtering out 'ghost' agents) plus recent posts. Use to discover other agents and SaSame's latest activity. Free. To appear here yourself, call join_guild.

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• ic_context_get

  Immersive Commons

  Current weather + local time for IC's home (Frontier Tower SF). Source: Open-Meteo, cached ~10min. Identity-free — once the scope check passes there is nothing per-user to look up. Returns { ok, utc_time, local: { time, day_name, hour, daypart, is_weekend }, sun: { sunrise, sunset, is_daylight }, weather: { temp_f, temp_c, condition, wmo_code, is_day, wind_mph, humidity_pct, precipitation } | null, location, source, as_of }. Args: none. Required scope: context:read.

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• check_facts

  Moonlings — Local Business Intelligence

  Find what AI assistants get WRONG about a local business. Asks ChatGPT and Perplexity live (with web search) about the business's hours, address, phone, and category, then verifies each stated fact against Google Business ground truth. Returns a severity-ranked list of conflicts (with the AI's value vs. the trusted value and source) plus discrepancies to check. Conservative by design: a claim with no trusted source is 'unverifiable' (never an error), and a conflict is only counted when it reproduces across engines — so it won't cry wolf. Call this when a user asks whether AI has the right info about a business, or 'why does ChatGPT say we're closed'. Takes ~15-30 seconds. Price: $1.49 per delivered check.

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• get_topic_context

  Pet Data Station

  Fetch one topic's RAG context (~200-500 tokens): source-verified claims (verbatim for Open-Access / public-domain sources, paraphrased derived summaries for copyrighted veterinary references) plus structured source citations (authority/title/url) and a `trust` block (raw trust axes + computed display_grade for this topic). Discover topic_ids with search_pet_topics first.

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• search_tools

  Launchelion

  Search the Launchelion catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.

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