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510,057 tools. Updated 2026-09-03 19:32

"A server for generating tweets on X (formerly Twitter)" matching MCP tools:

  • Searches Twitter/X and returns matching tweets with engagement (likes, retweets, replies, views) and author reach (followers, verified). Raw crowd voice for judging social sentiment on a coin or topic. Sorted by relevance; set latest=true for the newest tweets instead.
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  • Fetch tweets that mention a specific Twitter/X user (i.e. tweets containing @userName). Useful for brand monitoring, sentiment tracking on a public figure, or finding conversations involving an account. Supports time-bound queries via sinceTime/untilTime (Unix seconds). Paginates via cursor.
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  • Fetch recent tweets from an X/Twitter user (up to 30 tweets with text, engagement, timestamps). Use for sentiment monitoring, content scraping, or thread analysis. Example call: {"username": "paulg"} Cost: $0.005–$0.05 USDC on Base per call.
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  • X (Twitter) profiles, tweets and single-tweet lookup by handle or URL. No login. Pay per result.

  • X (twitter): x, xapi, Twitter, twitter api, twitters ,tweets, tw, twttr, FollowerIds, friendsIds.

  • [twitter · risk:low] Search for recent tweets matching a keyword, hashtag, or phrase using the Twitter v2 API. Pass your Twitter Bearer Token via X-Duvera-Service-Token header — Duvera never stores it. Get a free Bearer Token at developer.twitter.com.
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  • Read live X/Twitter data: look up a single tweet or user profile, batch-read up to 100 tweets or users at once, check whether one account follows another, fetch trending topics by region, extract a long-form article, or download tweet media. Pay per call in USDC — no API key, no signup; failed calls are never charged. Guidance: resource=get-tweet|get-user (id), batch-tweets|batch-users (ids array, ≤100), check-follower (source+target usernames), trends (optional woeid/count), article (tweet id), followers-you-know (id + mandatory resultsLimit), download-media (id or ids ≤50 — returns media file URLs on THIS origin; links live 7 days). Fixed-price per call/id except followers-you-know which is per-result.
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  • Search a single network for posts matching a query, returned as the unified Post[] schema and tagged with its platform. Keyless on TikTok, YouTube, and Pinterest. Instagram, Twitter/X, Reddit, and Facebook need operator-side credentials (returns credentials_required until set). Snapchat and Threads do not support keyless search (returns not_supported); LinkedIn is quarantined. To fan one query across every network at once, use search_all.
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  • 🎯 PRIMARY CHOICE for date-range / historical / keyword-based tweet queries. Use this (NOT get_user_last_tweets) whenever user asks about a SPECIFIC TIME RANGE or historical tweets: • 'tweets from January 2026' → query='from:elonmusk since:2026-01-01 until:2026-02-01' • 'tweets between X and Y' → 'from:USER since:X until:Y' • 'tweets last week / last month' → translate to since:/until: dates • 'tweets containing keyword X by user Y' → 'from:Y X' • 'older tweets' / 'archive' / 'in 2025' → use date range, not pagination Date format: YYYY-MM-DD (UTC midnight). 'until:' is exclusive (until:2026-02-01 = up to Jan 31). General: Search Twitter/X for tweets matching a query. Supports the full Twitter advanced search syntax (from:, to:, since:, until:, lang:, filter:, has:, -, OR, etc). Returns ~20 tweets per page in reverse chronological order ('Latest') or by engagement ('Top'). Use this for keyword research, monitoring mentions of a brand/topic, finding tweets in a date range, or any open-ended tweet discovery.
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  • List X (Twitter) accounts connected to the authenticated Vee3 account for write capabilities. Returns user_id, user_name, display name, avatar URL, and whether each account is the default. Use user_id or user_name on future write calls, or omit both to use the default account. If accounts is empty, the user must connect an X account at https://vee3.io/dashboard/connections before write capabilities work. Agents cannot complete OAuth; ask the user to connect, then call this tool again. Cost = 0 tokens.
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  • [Read] Search and analyze X/Twitter discussions for a topic, with tweet-level evidence and cited posts. Aggregate social mood, sentiment score, or positive/negative split -> get_social_sentiment. Open-web pages -> web_search. Multi-platform social search -> search_ugc. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.
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  • Read an X/Twitter Community: profile info, member and moderator rosters, the community's tweets, or keyword search inside the community. Fixed price for info; billed per item for rosters, tweets, and search. Guidance: kind=info (fixed price) or members|moderators|tweets|search (per-item — resultsLimit MANDATORY). id = community ID. search additionally requires q.
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  • Real-time X/Twitter sentiment narrative. Pass ticker=NVDA for a focused fintwit read on a name, or query=... for a free-form social-media question. Returns the narrative answer with quantified bullish/bearish ratio and any source URLs social-search grounded against. Use when you want the *vibe* on a name right now (retail sentiment, breaking rumours, unusual social activity), not the news article list.
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  • Rally the ProductClank community to engage with a specific social post. Creates a boost campaign and spends the user's credits: 'replies' generates 10 AI reply drafts (200 credits); 'likes' (30 likes) and 'repost' (10 reposts) cost 300. Supports Twitter/X, Instagram, TikTok, LinkedIn, Reddit, Farcaster, and YouTube (replies + likes on YouTube; reposts only on X and Farcaster) — the platform is auto-detected from the URL. product_id is OPTIONAL: link a product (from search_products or create_product) to tailor replies with the product name, or omit it for a tweet-first boost that uses generic amplification language. Confirm the action and its credit cost with the user before calling.
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  • Start generating an AI video on the authenticated account. Returns a job id immediately — poll get_generation until status is 'completed'. Charges credits only on success. Call estimate_credit_cost first if the cost matters. REQUIRES AN API KEY: add "Authorization: Bearer acd_live_…" to this MCP server; a key is created by a signed-in human at https://aicontentdrop.com/settings/integrations.
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  • Verifies **Firebase** ID token, creates a session for **`workspaceName`**, stores serialized **`payload`** (defaults to `{}` when omitted), and returns **`sessionToken`** (JWT; subject = internal session id). Default server-side TTL is **1 hour** (implementation detail). If the Firebase token includes **`email`**, the server best-effort persists it on the workspace end-user row (for audit display). Prefer **`POST /sessions/get-or-create`** for hosted-login-style flows that should reuse an active session. Source: POST /api/v1/sessions Requires `auth.firebaseToken` and forwards it as a Bearer token. Prefer connection.workspaceName and connection.appId as stable config instead of generating identity fields dynamically.
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  • Search Twitter/X. Returns a compact human-readable list by default; pass format='json' for full structured data. Use glim_twitter_get(ref) for full thread context. Use docs://search-operators for reference.
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