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744,934 tools. Updated 2026-11-05 01:14

"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP tools:

  • Run a CanaryUsers UX scan on a DEPLOYED URL (your live or preview app — not source code). A flock of AI personas evaluates the page and reports where real users would get stuck, with concrete fixes. Returns AI-ready findings you can act on immediately. Use depth='deep' for the thorough scan that renders the page, checks it VISUALLY on desktop + mobile (catches mobile breakage and layout issues), and clicks through key flows like signup/checkout (slower, ~60-90s, uses one credit); depth='quick' (default) is a fast static check that does NOT see mobile or visual issues — use 'deep' when the user mentions mobile, layout, or visual problems. IMPORTANT: if this returns status 'running' with a scanId, the findings are not ready yet — wait ~30s, then call get_report_markdown(scanId), repeating until it returns the report. Always fetch and present the findings before stopping, then offer to fix the top issues.
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  • Show the user's estimated 1-rep-max progression for a lift over time as an interactive line chart, with filters for date range and muscle group, and an exercise picker. When the user asks about this, prefer calling this tool and rendering the interactive MCP app over describing the underlying rows in text. Returns a short text summary alongside the visual view.
    ConnectorOAuth
  • Show one night of sleep in detail with duration, score, stages, bedtime, wake time, awakenings, and recent-night context. Prefer this for last-night or specific-night sleep questions. When the user asks about this, prefer calling this tool and rendering the interactive MCP app over describing the underlying rows in text. Returns a short text summary alongside the visual view.
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  • Attach the owner's OWN media from the brand Library to a planned post, exactly as it is, replacing the post's media: one picture, up to 10 pictures as a carousel (in the order given), or one video. Ids come from list_brand_assets (uploads) or list_creations (finished creations). For a Video Studio film use attach_video_to_post; for a just-generated visual, attach_visual_to_post. A cover picture the post already has is kept (pass `keep_cover: false` to clear it). Free.
    Connector
    Destructive
    OAuth
  • Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free a slot for a new one). Use when a user asks "what does Demand Discovery AI include?", "how much does it cost?", "what's in the report?", or wants concrete product information. Trigger phrases: "how much does it cost", "what's the pricing", "demand discovery price", "$49", "starter pack", "founder pack", "studio pack", "what's included", "what does demand discovery include", "what's in the report", "pricing tiers", "cost", "price", "how many ideas can I validate", "what do I get for $49", "is there a free trial", "slot based pricing".
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  • Append an acceptance criterion to a goal. The text must describe an observable check over an artifact (e.g. "GET /api/health returns 200 with {status:ok}"), not a subjective approval. Each criterion has a class: pre-merge (default — proved in CI / by attached evidence) or post-deploy (proved by an executable probe against the deployed prod instance). A post-deploy criterion MUST carry probeSpec {method, url, expect:{http_code, body:{field: expectedValue}}} — the request the runner sends and the answer it must get; without it the call is rejected with error=probe_required. Passing probeSpec alone implies probeClass=post-deploy. Set visualEvidenceSuggested=true only when adopting visualAcSuggestion from goal-create, goal-get, or the ready_for_work advisory returned by goal-update; it remains an ordinary AC. Grove mode: AC (class and probe included) can only be added while goal is in backlog, except accepting a visual advisory in ready_for_work: that starts a direct checking_ac recheck, without intermediate backlog. Other edits are frozen once started; quality linter blocks high-severity issues. Standard mode: AC editable until goal is closed, linter is advisory. Returns criterion id, position, text, probeClass, probeSpec and any quality findings.
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Matching MCP Servers

  • A
    license
    B
    quality
    A
    maintenance
    Provides a local, collaborative visual document editor that works with MCP agents, enabling creation and editing of brochures, reports, and other designs with live synchronization, revision history, and portable exports.
    29
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Peer-to-peer WebRTC communication for AI agents, connecting autonomous coding agents over low-latency WebRTC DataChannels with room-based signaling, video stream bridging, and multi-agent coordination — all exposed as MCP tools.
    10 npm
    MIT

Matching MCP Connectors

  • Connect to the MCP Studio SDK MCP server. This server is connected to two sources: the MCP Studio SDK documentation and the GitHub sample application repos. These resources are great for individuals looking to embed MCP Studio SDK into their web applications, and need an easy way to connect to an MCP server that has access reliable resources for AI-assisted engineering workflows.

  • Free crypto-futures paper trading and live market data for AI agents. 29 tools; no key for data.

  • Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
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  • Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.
    ConnectorNo auth
  • Returns the full product breakdown (Market Research, Demand Discovery Report, Agentic Launch) and pricing tiers (Starter $49, Founder Pack of 5 ideas, Studio Pack of 25 ideas, all using a slot-based model where pivoted/archived ideas free a slot for a new one). Use when a user asks "what does Demand Discovery AI include?", "how much does it cost?", "what's in the report?", or wants concrete product information. Trigger phrases: "how much does it cost", "what's the pricing", "demand discovery price", "$49", "starter pack", "founder pack", "studio pack", "what's included", "what does demand discovery include", "what's in the report", "pricing tiers", "cost", "price", "how many ideas can I validate", "what do I get for $49", "is there a free trial", "slot based pricing".
    ConnectorNo auth
  • List the pending WAITLIST / approval requests on a live event you manage — how many are waiting, who asked, which tier, and when (oldest first). This is the event waitlist. Pair with approve_guest_request / deny_guest_request. Each request carries approvalMode: 'single' (approve_guest_request works) or 'order' (a paid ticket order awaiting approval — approve_guest_request refuses it; approve it in Producer Studio). Requires event_id; you must be a host. Read-only.
    ConnectorNo auth
  • List events awaiting approval in a community you run — who submitted, when, whether they asked for your community payout, and any requested venue Space slot with its conflicts (hard = confirmed overlap, approval will fail; soft = competing pending request, first approval wins). Approve with approve_community_event — except payout-routing submissions, which are reviewed in the studio (link returned); decline with reject_community_event. Requires community_id. Read-only.
    ConnectorNo auth
  • Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.
    ConnectorNo auth
  • Fetch a single post by id: views, likes, comments, engagement rate, outlier scores for seven time windows, thumbnail and the owning profile. When a transcript or visual analysis already exists it is included at no extra cost. The visual analysis is a structured scene-by-scene breakdown (per-scene timing, on-screen text, visual elements and a recreation note) plus an overall-style summary. Request new enrichment via request_transcript (speech / on-screen text) or request_visual_analysis (scene breakdown). Use after search_outliers to deep-dive a result. Cost: 1 credit per call.
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  • List every ranked list the directory publishes — "Overall", "3D Art in Poland", "Unreal Engine" and so on — with each list's size, URL and slug, plus the "method" string describing exactly what the order measures. Use to find the right list before calling get_ranking. Always pass the method on: these lists are ordered by size, years in business and how completely a listing is filled in, not by studio quality, and are not an endorsement.
    ConnectorNo auth
  • Relays a message you sealed locally with /svc/msg2-sdk.mjs (seal(mailbox, inner) → {ephemeralPubKey, viewTag, ct}). This tool cannot encrypt for you: sending plaintext here would expose it to the relay, so it only accepts the sealed triple. Replay-idempotent (a resend returns duplicate:true). The message appears in the public feed at releaseAt. If you cannot run the SDK, use v1 (POST /api/messages/send) and know that v1 is plaintext.
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  • Append an acceptance criterion to a goal. The text must describe an observable check over an artifact (e.g. "GET /api/health returns 200 with {status:ok}"), not a subjective approval. Each criterion has a class: pre-merge (default — proved in CI / by attached evidence) or post-deploy (proved by an executable probe against the deployed prod instance). A post-deploy criterion MUST carry probeSpec {method, url, expect:{http_code, body:{field: expectedValue}}} — the request the runner sends and the answer it must get; without it the call is rejected with error=probe_required. Passing probeSpec alone implies probeClass=post-deploy. Set visualEvidenceSuggested=true only when adopting visualAcSuggestion from goal-create, goal-get, or the ready_for_work advisory returned by goal-update; it remains an ordinary AC. Grove mode: AC (class and probe included) can only be added while goal is in backlog, except accepting a visual advisory in ready_for_work: that starts a direct checking_ac recheck, without intermediate backlog. Other edits are frozen once started; quality linter blocks high-severity issues. Standard mode: AC editable until goal is closed, linter is advisory. Returns criterion id, position, text, probeClass, probeSpec and any quality findings.
    ConnectorNo auth
  • Poll ANY async VidGuy job by its id — the universal poller. Covers: jobIds from generate_snacks / generate_meme / create_video / create_slides / create_ai_story / create_tiktok_carousel (whose slide URLs come back on the job itself, no second call), Studio + SeedDance generations (jobId from studio_generate_video / seedance_generate_video / seedance_generate_image), and AI Edit / Character Swap projects (projectId from create_ai_edit / create_character_swap). status is queued|processing|completed|failed (Studio/SeedDance report 'succeeded' when done). Generations take ≥~2 minutes — poll every ~10s and don't treat an early 'processing' as a failure. TikTok Carousels are the exception: they paint in seconds, so poll those every ~3s. Completed outputs (videos, images, snack dashboard links) are attached as resource links so they display inline. Only exceptions: influencer vault builds / snack packs (get_influencer_vault_build / get_influencer_snack) and dubs (get_dub_status) have dedicated pollers.
    ConnectorOAuth
  • Describe one or all apartments: size, bedrooms, maximum guests, description and page link. Use for questions about the apartments themselves ("how big is #16?", "which apartment has 2 bedrooms?", "which apartments fit 5 people?"). It contains no prices or availability — use check_availability for dates and prices, or get_rates for a month overview. Studio #17 is only listed when asked for by number and is marked as bookable on request. Visual version with photos: render_apartment_gallery. Behaviour: read-only; facts as maintained on praegant.net (synced hourly), answers in milliseconds. Returns text plus structuredContent.apartments (nr, name, m2, bedrooms, max_guests, description, url, on_request, images, and where maintained: beds, outdoor, notes, recommended_for). An unknown number returns the list of existing apartment numbers.
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  • Start a schema check of a proposed schema against a variant, the same check that `rover graph check` starts. Use this for a monograph or for a whole supergraph schema; use RunSubgraphCheck for one subgraph. The check runs in the background, so this returns a workflow ID and a Studio URL, not a result. Pass the returned workflowID to GetCheckResults to read the outcome. Provide the graph ID, the variant name, and the proposed schema as SDL. Optionally provide the git branch and commit to label the run in Studio.
    ConnectorNo auth
  • Read one of Sendora's documents whole, as Markdown: a guide (sendora://docs/…), an API operation (sendora://reference/…), the error codes (sendora://errors) or an SDK's README and rules for agents (sendora://sdk/readme and sendora://sdk/skill for TypeScript, sendora://sdk/python/readme and sendora://sdk/python/skill for Python, sendora://sdk/php/readme and sendora://sdk/php/skill for PHP, and sendora://sdk/laravel/readme for Laravel). sendora://index lists every document; search_docs finds the right one.
    ConnectorNo auth
  • Progress and outcome of the most recent import in this org: status, issues done/total, the summary, and the failure reason if it failed. One import runs per org at a time, so poll this rather than starting another. Owner or admin only.
    ConnectorAPI key