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407,520 tools. Last updated 2026-08-07 05:11

"WeChat – Messaging and Social Media App" matching MCP tools:

  • Put one or more media files into your workspace media library (max 10, uploaded sequentially). This is step one of attaching media to a node - follow up with clipform_attach_node_media to place the returned media_asset_id on a node. When a public URL is provided, the media is fetched and stored automatically. For video: ingested via Mux. For image: stored in Supabase. Captions from clipform_generate_tts enable per-word highlighting in the viewer once attached.
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  • Deploys an app to a VM and exposes it at a public https://<name>-<id>.redu.cloud URL. The container is built ON the VM. PREREQS — run check_deploy_prerequisites first for network_id + keypair_name, then plan_deploy for cost approval. Source can be git repo or prepare_upload source_token. PORT must be the real app listen port. To wire a DB, pass database:'managed' (dedicated managed datastore VM on the same private network, reused on same-name redeploy) or database:'single_vm' for Postgres on the app VM. Choose db_engine ('postgres' default; 'mysql'/'mariadb' for WordPress/Matomo/LAMP, managed only). For WordPress/WooCommerce cluster intent, do not use generic stateless deploy: pass app_profile, cluster_target:true, database:'managed', db_engine:'mariadb' or 'mysql', cluster_media_mode:'media_space', and either media_space_id or create_media_space:true. Redu mounts the media space into wp-content/uploads and refuses unsafe local uploads. Build+provision takes minutes; poll list_deployments/get_deployment.
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  • Create an animated GIF from HTML content with CSS animations, a URL, or a template. The HTML must contain CSS @keyframes animations, transitions, or JavaScript animations to produce frames. Common use cases: animated banners, loading spinners, product demos, social media animations, animated logos, and eye-catching ad creatives. Provide ONE of: 'html' (custom animated HTML/CSS), 'url' (capture from webpage), or 'template' + 'variables' (render a saved template). For recording a GIF from a live website over a specified duration, use pictify_capture_gif instead. Returns the hosted GIF URL and animation duration. Maximum dimensions: 2000x2000 pixels.
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  • Aggregate social attention metrics across screens and time periods. Shows which venues and dayparts have the highest social amplification. Queries observation_stream for social attention data and aggregates by the requested dimension (venue, daypart, or screen), computing average SAF, average cascade depth, average viral attention score, and event count. WHEN TO USE: - Understanding which venues generate the most social amplification - Comparing daypart effectiveness for social contagion - Identifying top-performing screens for attention cascading - Planning campaigns that leverage social proof RETURNS: - data: Array of aggregated rows, sorted by avg SAF descending - group_key: the dimension value (venue type, daypart, or screen ID) - avg_saf: average social amplification factor - avg_cascade_depth: average attention cascade depth - avg_viral_attention_score: average viral attention score - event_count: number of social attention events in the group - metadata: { group_by, time_range, total_events } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Which venues have the highest social amplification this week?" get_social_contagion_summary({ group_by: "venue", time_range: { start: "2026-03-09", end: "2026-03-16" } }) User: "Show me social attention by daypart over the last 7 days" get_social_contagion_summary({ group_by: "daypart" })
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  • Update an existing QR code's properties. Use this when the user wants to change where a QR code points to, rename it, or enable/disable it. Destination URL changes only work for dynamic URL-based types (url, pdf, menu, app-store, social). Name and active status can be changed for any QR code type.
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  • Check whether a brand, business, product, or app name is available. Runs a real-time availability check across: the US trademark registry (USPTO — live registry data, not guesses), domain names (.com, .io, .co, .app, .dev, with registration prices), social handles (X/Twitter, Instagram, TikTok, LinkedIn), developer namespaces (npm, PyPI, crates.io, GitHub, Docker Hub), and the iOS App Store. Returns a structured verdict (clear / caution / conflict), an overall viability band, and a link to the full interactive result. Use this whenever a user is brainstorming, choosing, or validating a name for a startup, company, product, app, or project and wants to know if it is taken, trademarked, or safe to use. Call once per candidate name. Free, no API key (shared daily fair-use pool). Data by nombrio.com.
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    Social media analytics toolkit that analyzes profiles, scores engagement, detects trending topics, researches hashtags, generates content calendars, and benchmarks against competitors. 6 tools across all major platforms.
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    MIT

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  • Publish approved INTERNAL content to configured output. ROUTING: team_update sends to all team members via Freedom OS, report sends to specified team member emails, customer_newsletter requires user Email MCP connection (Mailchimp, Resend, etc.), changelog publishes to public changelog page. ⚠️ SOCIAL POSTS (x/linkedin/instagram/facebook/threads) never send from this tool: declare the pipeline destination via update_pipeline and submit via submit_content_to_pipeline — the post queues for operator approval and publishes through the single gated owner on approve (in FreedomOS app chat, send_to_user with intent "publish" queues the same approval). Use when an approved non-social item — changelog, team update, report, or newsletter — is ready to send. [outbound-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.]
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  • Return the Dutch social-domain profile for one municipality. Given a CBS GM-code, returns that municipality's four v1 social-domain indicators — social-assistance receipt, modelled homelessness, Wmo use and youth-care use — each with its raw value, source and whether it was measured or modelled. The composite score and rank are included for context, alongside the v0-equivalent score. Read-only, no personal data. wmo_pressure and youth_care_load are context only — never folded into the score. CBS aggregates describe an area, not its quality. Netherlands-only: the deeper municipal layer exists for Dutch municipalities.
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  • Compare the social-domain profile of several Dutch municipalities. Given two to six CBS GM-codes, returns a side-by-side comparison of their four v1 social-domain indicators plus composite score and rank. Useful for an agent answering "how does municipality A compare to B on the social domain". Read-only, no personal data. wmo_pressure and youth_care_load are context only — shown but never scored. CBS aggregates describe an area, not its quality. Netherlands-only.
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  • Returns a 0-100 crypto market sentiment score (alternative.me Fear & Greed composite of volatility, momentum/volume, social media, BTC dominance, and search trends) with classification label, 7-day change, 30-day average, and 30-day daily history. Call when the user asks about crypto market mood, fear vs. greed, sentiment extremes, or contrarian signals, or when timing crypto entries, exits, or rebalancing around emotional peaks and troughs. Updates: daily.
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  • List MockHero's pre-built schema templates for ecommerce, blog, SaaS, and social apps.
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  • Query social attention contagion metrics from the observation stream. Returns windows where attention propagated between viewers (social amplification factor > 1). Social attention data is produced by the AttentionGraphBuilder running on CTV edge devices, which models viewer attention as a directed graph and detects when one viewer looking at the screen triggers nearby viewers to also look (attention contagion / social amplification). WHEN TO USE: - Finding moments where social proof drove collective engagement - Identifying which venues or dayparts exhibit highest attention contagion - Understanding cascading attention patterns (cascade depth) - Correlating social amplification with ad effectiveness (VAS) RETURNS: - data: Array of observation_stream rows with socialAttention payload - payload.socialAttention.socialAmplificationFactor (SAF): ratio of actual-to-expected group attention (>1 = contagion detected) - payload.socialAttention.cascadeDepth: max depth of attention propagation chain - payload.socialAttention.viralAttentionScore: composite metric combining SAF and cascade depth - payload.socialAttention.contagionWindowMs: time window over which cascade occurred - payload.socialAttention.triggerViewerIndex: which viewer initiated the cascade - metadata: { result_count, time_range, min_saf_filter } - suggested_next_queries: Follow-up queries EXAMPLE: User: "Show me moments where attention went viral in bar venues" get_social_attention({ min_saf: 2.0, venue_type: "bar" }) User: "Find the strongest social amplification events this week" get_social_attention({ min_saf: 3.0, time_range: { start: "2026-03-09T00:00:00Z", end: "2026-03-16T00:00:00Z" } })
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  • [Read] Get the top 2-4 social discussion themes for one coin over the latest 4h, including direction, influence, sentiment, platforms, and representative evidence posts. For arbitrary social search use search_ugc; for X/Twitter-only narrative research use search_x.
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  • [Read] Aggregate per-coin social sentiment for a time range: overall sentiment, positive/negative split, mention count, and sample tweets. X/Twitter post search or tweet-level evidence -> search_x. Multi-platform social thread search -> search_ugc.
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  • Generate a hook sentence, three-sentence story, tweet, image prompt, and follow-up questions for any hex colour. Backed by the nearest archive colour's cultural provenance. Tunable by audience (general public, designers, historians, children) and tone (dinner party, academic, social media, brand copy). Use to make archive colours shareable, to generate content, or to power a public-facing colour chat experience.
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  • Fetch the full competitor analysis report as structured JSON. Reports contain: website snapshot, Wayback Machine history, SEO/traffic data (DataForSEO), social media presence, Product Hunt launches, GitHub stats, pricing, funding, AI-generated business insights, growth playbooks, and more. Args: job_id: ID from analyze_competitor(); status must be 'completed' Returns: The full report dict (nested structure), or {error} if not found / not ready.
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  • Fetch the full competitor analysis report as structured JSON. Reports contain: website snapshot, Wayback Machine history, SEO/traffic data (DataForSEO), social media presence, Product Hunt launches, GitHub stats, pricing, funding, AI-generated business insights, growth playbooks, and more. Args: job_id: ID from analyze_competitor(); status must be 'completed' Returns: The full report dict (nested structure), or {error} if not found / not ready.
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  • Comprehensive contact information and routing guide for Everstake inquiries, including social media, company resources, and purpose-specific contact channels. Use when users need to contact Everstake or find specific company resources.
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  • Get a Stay's contact/owner/manager details and social media links: owner name/email/mobile, manager (day-to-day contact person) name/email/mobile, booking email/phone/mobile, host display name, and website/Facebook/Twitter/YouTube/Instagram/TikTok/LinkedIn links. Call this before updateStayContacts so the agent knows current values. Requires NOMADSTAYS_MCP_AGENT_TOKEN.
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  • SOCIAL MEDIA VOLUME as a TIME SERIES: how many posts mention a topic, bucketed by day or hour, so you can see the POST VOLUME TREND and whether SOCIAL CHATTER ABOUT A TOPIC is rising or fading. Answers "how much is X being discussed", "BUZZ OVER TIME for X", "is attention on X growing this week". Returns a per-bucket count broken out by network, running totals, engagement sums where the source exposes them, and an explicit window_actually_covered block. A bucket is a number only where that network was truly measured; where reach ran out it is null, so a measured zero is always distinguishable from an unobserved gap. Coverage is Bluesky, Mastodon, Reddit and Hacker News; X/Twitter is excluded (paid API), so results are a directional proxy over a partial slice of social media rather than total social volume. Examples: topic "bitcoin", days 7, bucket "day" for a week-long attention curve; topic "openai", days 2, bucket "hour", networks ["bluesky","hackernews"] for an intraday spike check.
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