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650,578 tools. Updated 2026-10-14 14:56

"A service for discovering trending repositories on GitHub" matching MCP tools:

  • Returns the repositories on GitHub's trending page (market discovery). Use github_trending_developers to list trending GitHub developers.
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  • Returns the repositories on GitHub's trending page (market discovery). Use github_trending_developers to list trending GitHub developers.
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  • Fetch current trending crypto stories with sentiment analysis ## When to use vs `combined_trends_tool` Prefer this tool when only stories are needed: it is the cheap, fast path and has no per-tool rate-limit sub-cap. `combined_trends_tool` is a superset — same stories plus trending words, their context and AI-generated bull/bear summaries — but it calls an LLM, so it is slower and capped much lower per plan. Use it only when trending *words* or those summaries are actually needed, and never call both for the same question. ## Parameters - `time_period` - Time period for trending stories (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of trending stories to return (max 10). Defaults to 10. ## Response - `trending_stories` - List of trending stories. - `time_period` - Time period for trending stories. - `size` - Number of trending stories to return. - `period_start` - Start time of the time period. - `period_end` - End time of the time period. - `total_time_periods` - Total number of time periods. ## Trending stories - `title` - Title of the story. - `summary` - Summary of the story. - `bearish_sentiment_ratio` - Bearish sentiment ratio. - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `score` - Score of the story. - `query` - Query used to find the story. - `related_tokens` - List of related tokens. They have the format `BTC_bitcoin` - first part is the ticker, second part is the slug in Sanbase.
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  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Manage repositories, users, releases, and automate GitHub workflows

  • Trigger a production deploy for one of your team's connected repositories. The repository must have a deploy trigger configured — either a deploy hook URL or a GitHub Actions workflow — in its Coderbuds settings. Identify the repository by name (e.g. "saas") or by full name (e.g. "patchstack/saas"). This ships whatever is currently merged; it is not a dry run. Use GetUndeployedPullRequestsTool first if you want to see what will go out.
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  • Combined trends tool that fetches trending words, stories, and documents in parallel. This tool provides a unified view of all trending data - words with their documents and stories - in a single response across all crypto projects. ## When to use vs `trending_stories_tool` This is a superset of `trending_stories_tool`: same stories, plus trending words, their context and AI-generated bull/bear summaries. It calls an LLM, so it is slower and has a tighter per-tool rate-limit sub-cap than every other tool. If only trending stories are needed, call `trending_stories_tool` instead; set `include_words: false` / `include_stories: false` to drop a half that is not needed. Do not call both tools for the same question. ## Parameters - `time_period` - Time period for trending data (e.g., '1h', '6h', '1d', '7d'). Defaults to '1h' (last hour). - `size` - Number of items per category to return (max 10). Defaults to 10. Only the 2 most recent trend periods are returned, whatever `time_period` is. A period is 1 hour for time_period up to 1d, 6 hours up to 7d, and 1 day beyond that, so e.g. '2d' returns only the last 12 hours. When older periods are dropped, `metadata.notice` says so and `metadata.returned_since` gives the start of the oldest period returned. - `include_stories` - Include trending stories in response. Defaults to true. - `include_words` - Include trending words in response. Defaults to true. ## Response - `trends` - Combined trending data containing stories and words. - `metadata` - Request metadata including time period, size, and included data types. - `errors` - Any non-fatal errors encountered during data fetching. ## Trending Data Structure ### Stories - `title` - Title of the trending story. - `summary` - Summary of the story. - `score` - Trending score. - `query` - Search query used to find the story. - `related_tokens` - List of related crypto tokens (format: "BTC_bitcoin"). - `bullish_sentiment_ratio` - Bullish sentiment ratio. - `bearish_sentiment_ratio` - Bearish sentiment ratio. ### Words - `word` - The trending word. - `score` - Trending score. - `slug` - Associated project slug (if word is project-related). - `summary` - AI-generated summary of discussions. - `bullish_summary` - Summary of bullish sentiment. - `bearish_summary` - Summary of bearish sentiment. - `positive_sentiment_ratio` - Positive sentiment ratio. - `negative_sentiment_ratio` - Negative sentiment ratio. - `neutral_sentiment_ratio` - Neutral sentiment ratio. - `positive_bb_sentiment_ratio` - Positive bull/bear sentiment ratio. - `negative_bb_sentiment_ratio` - Negative bull/bear sentiment ratio. - `neutral_bb_sentiment_ratio` - Neutral bull/bear sentiment ratio. - `context` - Related words that appear with this trending word. - `documents_summary` - AI-generated summary of related social media discussions.
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  • Find the best open-source library for a need before adding a dependency. Give the need in plain words and get up to `limit` GitHub repositories ranked by fit = score x relevance to the need. Each result has a 0-100 score (momentum 40% (stars gained per week; without history, lifetime stars per week scaled by the npm/PyPI download trend), maintenance 25%, adoption incl. npm/PyPI weekly downloads 25%, license 10%), a tier (Strong >=75, Solid >=50, Watch >=25, Avoid <25; New for repos under 30 days old, too new to judge), a one-line verdict and the full breakdown. Use this when you do not yet have candidates; use compare_repos when you already have names. Makes 3 GitHub searches plus npm/PyPI lookups for the shortlist. Hosted: 50 free tool calls per day per user; send header X-GitHub-Token with your own GitHub token for unlimited use, or run the npm package locally (npx -y whichlib).
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  • Discover projects: the most-starred GitHub repositories created in the last day, week or month, or with period "rising" repositories of any age that gained the most stars this week (like GitHub Trending; risingRank keeps that order). Optionally one language; each scored and returned sorted by score (starsRank keeps the stars order). Each result has a 0-100 score (momentum 40% (stars gained per week; without history, lifetime stars per week scaled by the npm/PyPI download trend), maintenance 25%, adoption incl. npm/PyPI weekly downloads 25%, license 10%), a tier (Strong >=75, Solid >=50, Watch >=25, Avoid <25; New for repos under 30 days old, too new to judge), a one-line verdict and the full breakdown. Not the right tool for picking a dependency, since new repositories have little maintenance history; use recommend_repos for that. One GitHub search (rising: one download of the daily list from raw.githubusercontent.com instead), plus one npm/PyPI lookup per repository when withDownloads is true. Hosted: 50 free tool calls per day per user; send header X-GitHub-Token with your own GitHub token for unlimited use, or run the npm package locally (npx -y whichlib).
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  • List the GitHub repositories you have connected to Dockhold, across every installation. Call this before deploy_app when the target repo is private, or when the user asks which repos they can deploy. Each repo comes with its installation_id: pass that (with the repo's clone URL) to deploy_app to deploy a PRIVATE repository. Public repos don't need it.
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  • List GitHub Discussions from Canton Network and Digital Asset repositories cached by CCPEDIA, sorted by recency (newest first). Filter by repo or category, or call with no filter to see which repos are present. CANTON-ONLY and read from CCPEDIA's cache, NOT the live GitHub API or the user's own repos (use a GitHub MCP for those). This is GitHub Discussions: distinct from the Canton web forum (get_discussion) and the sync.global mailing lists (list_mailing_threads). Use get_github_discussion for full body + comments.
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  • CALL when the user is choosing between exactly two dependencies or repositories. Returns the preferred candidate for each use case, material trade-offs, confidence, and evidence gaps. Each target is owner/repo, a GitHub URL, an npm package name, or npm:@scope/pkg. Cached full analyses are preferred; a miss uses bounded live GitHub/OpenSSF evidence with limited confidence and explicit unknowns rather than guessing.
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  • Is anything I depend on broken right now? Checks every supported provider in parallel and returns a one-sentence summary plus per-service detail. Use this first: it answers the whole question in one call. Optionally narrow with ?services=github,npm. A provider whose status page cannot be read is reported as "unknown", never as healthy.
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  • Get TensorFeed's daily scan of new repositories across the AI agent ecosystem (Anthropic, OpenAI, Microsoft, ModelContextProtocol, HuggingFace, LangChain, frontier labs) plus recent MCP/x402/skills keyword sweeps. Each opportunity includes the GitHub repo path, description, stars, last update, the source signal, and a composite score (signal weight × log10(stars+1) × recency decay). Refreshed daily at 13:30 UTC. Useful for surfacing distribution targets, integration ideas, or just a daily digest of what's launching across the agent space. License: GitHub data via the public Search API; output is TensorFeed's curated ranking.
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  • List the Canton Network GitHub repositories that CCPEDIA has indexed (Canton org repos such as canton-foundation and Daml/Splice, excluding the dev-fund proposals repo), with the count of issues+PRs indexed per repo. CANTON-ONLY and read from CCPEDIA's cache. This is NOT a live GitHub API and does NOT list the user's own repos (use a GitHub MCP for that).
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  • Show which CELESTIA content is trending on blobpedia this week (most-viewed CIPs, forum threads, docs, etc.). This is a Celestia content-engagement signal only. It is NOT token price or market trends (for trending coins, gainers, or TIA price movement defer to the price/market MCP such as CoinGecko) and NOT general web or crypto-wide trends (defer to a web-search MCP). Only fire when the user is asking what is popular within Celestia content. Zero arguments.
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  • List the GitHub repositories that blobpedia has INDEXED for Celestia, with item counts. Read-only view of the Celestia index on this server — does NOT browse your GitHub account or arbitrary repos (use a dedicated GitHub tool for that). Zero arguments.
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  • List GitHub Discussions from Celestia repos (e.g. celestiaorg/docs) cached on this server, ranked by upvotes then recency. Celestia repos only, from the local cache — not arbitrary GitHub Discussions (use a dedicated GitHub tool for those). Use get_github_discussion for the full body plus comments of one thread; this is GitHub Discussions, not the community forum (use get_discussion).
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  • Discover trending Solana tokens or tokenized stocks. category='tokens': memecoins, DeFi tokens, SPL tokens (trending, popular, top traded, organic, new). category='stocks': tokenized equities on Solana (PreStocks, xStocks, rStocks) with real stock prices. Use for: 'trending tokens', 'find gems', 'top traded memecoins', 'show stocks on solana', 'TSLA stock token'. NOT for: specific token lookup (use findSolanaSwapToken), PumpFun queries (use getPumpFunTokens).
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  • List all available service directories in the LocalPro network. This is the starting point for discovering what categories of verified local service providers are available. Categories include water damage restoration, foundation repair, crawl space repair, basement waterproofing, mold/asbestos/lead remediation, radon mitigation, septic services, commercial electrical, floor coating, and laundry pickup & delivery. Returns niche IDs needed for all other tools.
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