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306,474 tools. Last updated 2026-07-25 10:38

"GitHub integration for cloning code repositories for analysis" matching MCP tools:

  • Convert text to speech by cloning the voice from an audio sample you provide (voice-cloning text-to-speech). Both text and sample are required; the text is limited to 1000 characters and the sample is supplied as a URL or base64 audio that must be at most 15MB, with violations returning HTTP 400. Synchronous: the call blocks until generation finishes and returns a single audio result containing a URL; there is no separate polling step. Credits are charged on success. Use this when you have a reference voice sample to clone; use createSpeechPreset to speak with a built-in named preset voice instead, and createVoice to design a brand-new voice from a text description rather than cloning one. Pass an optional request_id to tag the result so you can locate it later via getAudioResults. Requires an API key (user scope). Credits: This endpoint consumes 1 credits per call.
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  • Browse and filter exploits using STRUCTURED FILTERS ONLY (no free-text query). Use this to filter by source (github, metasploit, exploitdb, nomisec, gitlab, inthewild, vulncheck_xdb, patchapalooza, oscs, poc_monitor), language (python, ruby, etc.), LLM classification (working_poc, trojan, suspicious, scanner, stub, writeup, tool, no_code), author, min stars, code availability, CVE ID, vendor, or product. Also filter by AI analysis: attack_type (RCE, SQLi, XSS, DoS, LPE, auth_bypass, info_leak), complexity (trivial/simple/moderate/complex), reliability (reliable/unreliable/untested/theoretical), requires_auth. NOTE: To search by product name (e.g. 'OpenSSH', 'Apache'), use search_vulnerabilities instead — it has free-text query and get_vulnerability already includes exploits in the response. Examples: source='metasploit' for all Metasploit modules; attack_type='RCE' with reliability='reliable' for weaponizable RCE exploits; cve='CVE-2024-3400' for all exploits targeting a specific CVE; vendor='mitel' for all Mitel exploits.
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  • Returns ranked snippets from the AlgoVault knowledge bundle answering a question about its MCP tools, response shapes, integration patterns (LangChain, LlamaIndex, MAF, CrewAI), or code examples. Call this BEFORE other tool calls to confirm parameter usage and avoid hallucinating tool shapes. Fast: BM25 lexical search, no LLM call, no quota cost. For a synthesized natural-language answer use chat_knowledge. Read-only, no side effects.
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  • Search GitHub repositories, conversations (issues+PRs), or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos). Returns compact text by default; pass format='json' for full structured data.
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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 the Canton Network GitHub repositories that CCPEDIA has indexed (Canton org repos — e.g. canton-foundation, 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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  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Backtest how cloning an institutional filer's reported 13F portfolio would have performed against a market benchmark, either over a trailing window (windowYears) or an explicit fromDate/toDate range. Reconstructs the filer's portfolio at each quarterly 13F snapshot, rebalances on the SEC filing lag (so the simulation uses only information available at the time), and values it forward against the benchmark. Returns total return, annualized return (CAGR), and max drawdown for both the cloned portfolio and the benchmark, plus the alpha between them. Use this to answer 'how would cloning fund X have performed against the market'.
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  • Find working SOURCE CODE examples from 37 indexed Senzing GitHub repositories. REQUIRED: either `query` (string, for search) or `repo` with `file_path` or `list_files=true` — the call WILL FAIL without one. Three modes: (1) Search: pass `query` to find examples across all repos, (2) File listing: pass `repo` + `list_files=true`, (3) File retrieval: pass `repo` + `file_path`. Indexes source code (.py, .java, .cs, .rs) and READMEs — NOT build/data files. For sample data, use get_sample_data. Covers Python, Java, C#, Rust SDK patterns: initialization, ingestion, search, redo, configuration, message queues, REST APIs. Use max_lines to limit large files. Returns GitHub raw URLs for file retrieval.
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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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  • Text-to-speech with 3 tiers: OmniVoice Global (602+ languages including Yoruba, Bengali, Cebuano, Twi, zero-shot voice cloning, 100 chars/sat — use 'language' parameter with ISO code), Inworld Premium (#1 ranked TTS ELO 1217, emotion control, 40+ languages, 50 chars/sat), Minimax Studio (voice cloning from reference clip, 40+ languages, 10 chars/sat). Adjustable speed (0.5-2.0x). Returns audio URL. Pay with Bitcoin Lightning — no API key or signup needed. When NOT to use: not for phone calls (use place_call for one-shot broadcasts, ai_call for AI voice agents, or open_voice_bridge to drive the call with your own LLM). For rare/underserved languages (Yoruba, Twi, Marathi, Cebuano, etc.), pick OmniVoice Global via language= — Inworld/Minimax don't cover these. Requires create_payment with toolName='text_to_speech'.
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  • The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.
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  • Generate SDK scaffold code for common workflows. Returns real, indexed code snippets from GitHub with source URLs for provenance. Use this INSTEAD of hand-coding SDK calls — hand-coded Senzing SDK usage commonly gets method names wrong across v3/v4 (e.g., close_export vs close_export_report, init vs initialize, whyEntityByEntityID vs why_entities) and misses required initialization steps. Languages: python, java, csharp, rust. Workflows: initialize, configure, add_records, delete, query, redo, stewardship, information, full_pipeline (aliases accepted: init, config, ingest, remove, search, redoer, force_resolve, info, e2e). V3 supports Python and Java only. Returns GitHub raw URLs — fetch each snippet to read the source code.
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  • Renew a certificate by cloning a recent order (requires the original order_id; Beacon purges orders after ~24h). Returns a new order_id and fresh DNS TXT records - then poll check_certificate_propagation and call finalize_certificate. If you don't have an order_id (the usual case at 90-day renewal time), call create_certificate for the domain instead; that IS the renewal.
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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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  • Returns analysis results for a vault. Free-tier teams receive summary-only results; paid teams receive full facet data and AI insights. Analysis is async; if status is 'processing', poll with exponential backoff (5s, 10s, 20s, 40s, max 60s). Analysis can be as quick as 20-30 minutes for under 500,000 lines of code. Larger codebases can take much longer, especially with the security scan. Facet meanings are documented in resources://docs/facets; AI Quotient is a code-quality metric (not AI-generated code). AI insights can take a few minutes after analysis completes; if ai_insights is empty, poll again and check ai_insights_status per facet (ready/processing/not_available). This endpoint always returns the latest version only; once reanalysis starts, prior versions are no longer accessible here. Requires X-API-Key (existing users can generate an API key in the web app). If headers aren't supported, pass api_key in arguments.
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  • Analyze deposit market share and concentration for an MSA or city market using FDIC Summary of Deposits (SOD) data. Computes market share for all institutions in a geographic market, ranks them by deposits, and calculates the Herfindahl-Hirschman Index (HHI) for market concentration analysis per DOJ/FTC merger guidelines. Two entry modes: - MSA market: provide msa as the numeric MSABR code (e.g., msa: 19100 for Dallas-Fort Worth-Arlington, msa: 42660 for Seattle-Tacoma-Bellevue). Use fdic_search_sod to look up MSABR codes. - City market: provide city (branch city name, e.g., "Austin") and state (two-letter code, e.g., "TX"). Output includes: - Market overview with total deposits, institution count, and HHI classification - Optional highlighted institution showing rank and share (provide cert) - Top institutions ranked by deposit market share - Structured JSON for programmatic consumption Requires at least one of: msa (numeric MSABR code), or city + state.
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  • Search across all Koalr entities: developers (by name or GitHub login), repositories (by name), pull requests (by title or branch), and teams (by name). Use this when you need to find an entity before using a more specific tool. Read-only.
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  • Start a temporary, email-free Pulse trial. Returns a short-lived private API key with enough banked tokens for one short URL-based v1 analysis. No Stripe Checkout session is created. Store the key in the client or a trusted local environment; do not repost it in public logs, screenshots, GitHub issues, shared chats, or directory examples.
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  • Compound quality gate for pull requests. Runs three sequential checks: (1) secret detection — scans diff for API keys, tokens, passwords matching 16 regex patterns; (2) bug analysis — heuristic scan for eval(), innerHTML, empty catch, console.log, TODO/FIXME; (3) commit message linting against Conventional Commits spec. Returns gate verdict (PASS/WARN/BLOCK), blockers, and actionable warnings. Use before merging any code change.
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