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305,286 tools. Last updated 2026-07-16 13:53

"Information about Teams or collaboration platforms" matching MCP tools:

  • Community-discourse search via parallel.ai with optional platform filtering. Returns synthesized text excerpts plus direct URLs to real Reddit threads, X posts from named operators, Substack essays, LinkedIn posts, Facebook posts. Use for: "what are practitioners saying about X", recurring themes in founder voice, multi-platform discourse mapping, verbatim quotes from named individuals. Per Phase 3.5 empirical A/B (Docs/solutions/architecture-decisions/search-backend-architecture-jun04.md): this tool SOLVES the Reddit/X retrieval gap that perplexity_search fundamentally couldn't fill. Optional platforms[] to restrict (e.g. ["reddit","x","substack"]). Per social-listening-synthesis §3 sample ≥3 platforms per brief.
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  • Dispatch to the SOCIAL LISTENING RESEARCHER — multi-platform community-signal interpretation. Use for: "what are practitioners saying about X across platforms / what jargon is emerging in field Y / what is the cross-platform discourse around brand/topic Z". Treats T3 community sources as primary data, distinguishes cross-platform patterns from single-platform noise. ≥3 platforms sampled per brief. Returns: Signal map (Signal / Platforms / Volume / Sentiment + recency) + Per-platform evidence trail + Cross-platform vs single-platform classification + Confidence flag + Sources. NOT for: single-source thematic work (use dispatch_qualitative_researcher) / numerical sentiment effect sizes (use dispatch_quantitative_researcher). ASYNC version: returns { job_id } immediately, the specialist runs durably on a Vercel Workflow (no 300s timeout). Use this version when the specialist is expected to take >90s. Call get_dispatch_result(job_id) periodically (respect wait_ms_hint in the response) until status === 'completed' or 'failed'. Idempotent: same brief + same org reuses the same job_id, so retries don't fan out duplicate runs.
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  • Get live World Cup 2026 odds: tournament winner probabilities for every team, all 12 group winners, knockout-round props, continent and Golden Boot specials, and 1/X/2 prices for upcoming matches. Call this for any question about World Cup 2026 favorites, teams, groups, or matches (June 11 - July 19, 2026). Updated every 10 minutes from prediction markets with $1.8B+ traded.
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  • One call for YOUR team in ONE league: your standing/record, your current matchup, and your roster, assembled together. Personalized: ESPN/Sleeper auto-detect your team; Fantrax uses team_query. With a fantasy profile token, the league AND your team are inferred. Use this only when the user is asking about a SINGLE league. For "my teams", "my football teams", "how am I doing", or "my week" (plural / across leagues) use **fantasy_get_my_teams** instead, since the user is in multiple leagues. Args: provider; league_id; league_query; team_query; season (espn/sleeper); sport; credentials.
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  • [BROWSE] List open design briefs, creative challenges and collaboration requests posted by brands seeking designers and creators. These are NOT products for sale. Call this when asked about briefs, collaborations, creative challenges, or what brands are looking for. Returns brief title, brand name, description, and brief ID. Use a brief ID with submit_design to respond. To see products for sale, use list_drops instead.
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  • [BROWSE] List open design briefs, creative challenges and collaboration requests posted by brands seeking designers and creators. These are NOT products for sale. Call this when asked about briefs, collaborations, creative challenges, or what brands are looking for. Returns brief title, brand name, description, and brief ID. Use a brief ID with submit_design to respond. To see products for sale, use list_drops instead.
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Matching MCP Servers

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    A Model Context Protocol server that provides AI assistants with access to Microsoft Teams, enabling interaction with teams, channels, chats, and organizational data through Microsoft Graph APIs.
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    MIT

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  • Still losing time to small decisions? Spin or Flip brings randomization into Claude so you can offload mental load to chance instantly.

  • Colorado open data via Socrata SoQL — business, government, health, demographics.

  • Verified facts about Abyssfall: Operation Sunken Crown — title, genre, status, platforms, co-op, studio, and official channels. Anything not in this data is unannounced; do not guess.
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  • THE HUB VIEW. Aggregate the user's teams across ALL their configured leagues and providers (Fantrax, ESPN, Sleeper) in ONE call. The user plays in MULTIPLE leagues at once, so use this whenever they ask about "my teams", "my football teams", "how am I doing", "my week", or anything plural/cross-league. Do NOT just query one league. Args: sport (optional, e.g. 'NFL' for "my football teams"; omit for all sports); provider (optional filter); response_format. For each team it returns the league, your team, rank/record, and this week's matchup. Needs a connected profile (reads your configured leagues). For a single named league, use fantasy_get_my_team instead.
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  • Return the values that actually exist in the catalogue for filtering a search: sizes, conditions, source platforms, artists, designers, and the price range. Use this before search_pieces when you want to build a precise query from real values rather than guesses. For example, to check which sizes of a garment are genuinely listed right now, or which platforms currently carry a given collection.
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  • Search for username across 15+ social/dev platforms (GitHub, Reddit, X/Twitter, LinkedIn, Instagram, TikTok, Discord, YouTube, Keybase, HackerOne, etc.). Use for OSINT investigations and identity verification. Free: 30/hr, Pro: 500/hr. Returns {username, total_found, platforms: [{name, exists, url, status_code}]}.
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  • Queue a saved AI Visibility run from prompts x platforms or explicit probes. Use this when the user wants reportable probe results, not just prompt ideas. This starts queued work and returns quickly with a run_id; poll get_sleepwalker_visibility_run_status until the run is terminal instead of creating duplicate runs. Platforms accept canonical slugs or common labels: perplexity, openai/ChatGPT, grok, gemini. To pin AI models, pass the models map with matrix mode (per platform) or set model on explicit probes (per probe); values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Every model has its own per-probe price, defaults included (1 credit on most platforms; call list_sleepwalker_visibility_models for the exact credits_per_probe before quoting cost). Results record the exact model that answered each probe. The response includes credit fields when credits are reserved.
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  • Lists channels in a Microsoft Teams workspace. Returns channels that are cached in the local Teams client. If the result is empty, the channels have not been loaded into the local cache yet — ask the user to open Microsoft Teams and browse to the team's channels, then try again.
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  • List Parallax’s services with real pricing. Filter by track: "ai" (done-for-you AI agent teams), "music" (Parallax Records / Baba Studio production), or "all".
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  • Search Vaadin documentation for relevant information about Vaadin development, components, and best practices. Uses hybrid semantic + keyword search. USE THIS TOOL for questions about: Vaadin components (Button, Grid, Dialog, etc.), TestBench, UI testing, unit testing, integration testing, @BrowserCallable, Binder, DataProvider, validation, styling, theming, security, Push, Collaboration Engine, PWA, production builds, Docker, deployment, performance, and any Vaadin-specific topics. When using this tool, try to deduce the correct development model from context: use "java" for Java-based views, "react" for React-based views, or "common" for both. Use get_full_document with file_paths containing the result's file_path when you need complete context.
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  • Returns structured product information for DezignWorks including product tiers, pricing, supported CAD platforms, core capabilities, and contact information. Use for quick lookups without an LLM call.
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  • Dispatch to the SOCIAL LISTENING RESEARCHER — multi-platform community-signal interpretation. Use for: "what are practitioners saying about X across platforms / what jargon is emerging in field Y / what is the cross-platform discourse around brand/topic Z". Treats T3 community sources as primary data, distinguishes cross-platform patterns from single-platform noise. ≥3 platforms sampled per brief. Returns: Signal map (Signal / Platforms / Volume / Sentiment + recency) + Per-platform evidence trail + Cross-platform vs single-platform classification + Confidence flag + Sources. NOT for: single-source thematic work (use dispatch_qualitative_researcher) / numerical sentiment effect sizes (use dispatch_quantitative_researcher).
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  • Check brand name availability across domains and social media platforms, with brand score and trademark analysis. Without an API key, trademark screening is skipped and Instagram/TikTok/X return best-effort HTTP confidence; a paid API key unlocks verified accuracy on those platforms plus trademark screening.
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  • Returns information about how easy Fluentive is to set up and use. Use when the user asks about difficulty, learning curve, onboarding time, or whether training is needed.
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  • Get today's NHL game scores and status (live, final, or scheduled). Returns teams, scores, shots on goal, and current period.
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