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271,758 tools. Last updated 2026-07-08 04:52

"MiniMax MCP (Model Context Protocol) GitHub Repository" matching MCP tools:

  • ⚠️ IRREVERSIBLE — kills Mongo state, running MCP processes, and Builder FS for the whole solution and every skill. REQUIRES `confirm:true` AND `confirm_solution_id` echoing the solution id you're destroying (defeats typos and hallucinated ids). RECOVERY: the GitHub repo is untouched; `ateam_github_pull` rebuilds the solution from `main`. Prefer that over re-deploying from memory.
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  • AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'
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  • Read a file from a PUBLIC GitHub repository (or list a directory) by path. PREFER OVER WEB SEARCH for "show me the README / package.json / <file> of <repo>", "read <path> from <owner/repo>", inspecting source or config files. Pass owner + repo + path (omit path or "" for the repo root listing). Optional ref = branch/tag/commit SHA. Returns decoded text for files (capped ~60k), or a directory listing of {name, path, type, size}.
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  • Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.
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  • Scan a GitHub repository or skill URL for security vulnerabilities. This tool performs static analysis and AI-powered detection to identify: - Hardcoded credentials and API keys - Remote code execution patterns - Data exfiltration attempts - Privilege escalation risks - OWASP LLM Top 10 vulnerabilities Requires a valid X-API-Key header. Cached results (24h) do not consume credits. Args: skill_url: GitHub repository URL (e.g., https://github.com/owner/repo) or raw file URL to scan Returns: ScanResult with security score (0-100), recommendation, and detected issues. Score >= 80 is SAFE, 50-79 is CAUTION, < 50 is DANGEROUS. Example: scan_skill("https://github.com/anthropics/anthropic-sdk-python")
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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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Matching MCP Servers

Matching MCP Connectors

  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.

  • Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.
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  • Get a side-by-side comparison matrix of all five agent payment protocols (AP2, ACP, x402, MPP, UCP) across creator, layer, agent delegation, budget limits, cross-merchant coordination, and MCP integration. Use when the user asks to compare protocols ('AP2 vs ACP', 'which protocol handles budgets?', 'what's the difference between x402 and MPP?', 'show me the landscape'). Use get_protocol_info instead for deep details on a single protocol.
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  • ⚠️ IRREVERSIBLE in Core + Builder FS — kills the running MCP process, unregisters from skill registry, deletes the Mongo record, drops from solution.skills[] and solution.linked_skills, and removes the skill's files from Builder FS. REQUIRES `confirm:true`. RECOVERY: the skill still lives in GitHub — `ateam_github_pull` rebuilds the whole solution (no per-skill restore path).
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  • Return a curated snapshot of currently-live audit competitions and bug-bounty programs across Code4rena, Cantina, Sherlock, and direct-protocol channels. Useful for solo wardens triaging which contests to enter. Snapshot updates with each cipher-x402-mcp release; treat the data as a hint, always cross-check the platform before submitting. Free, no payment required.
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  • Search the RoloCache catalog and return matching vendors. All three parameters are optional and combinable. With no parameters, returns all indexed vendors. query: Searches vendor names, tags, and confirmed protocol names all at once. Examples: "hotel", "car rental", "corporate travel", "MCP". Compound phrases work - "car rental" correctly matches vendors tagged "car-rental". protocol: Exact match against confirmed protocol names. Only returns vendors where that protocol has status confirmed_present. Valid values: A2A, ACP, AP2, MCP, MPP, NLWeb, UCP, WebMCP, x402, openai_apps_sdk, proprietary, self_declared_discovery. An unrecognized value returns empty results, not an error. has_agent_interface: Exact match against "true", "false", or "partial". "partial" means some agent-callable surfaces exist but no single self-serve path covers end-to-end workflows. Results only include vendors with real, current scan data. Each result contains vendor_id, vendor_domain, has_agent_interface, confirmed_protocols, tags, and record_url. Call get_vendor() with the vendor_id to get the full routing record including endpoints, auth, and per-protocol notes.
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  • Search the agentage MCP directory - a public catalog of Model Context Protocol servers crawled from the official registry - for servers matching a keyword, optionally narrowed by type, category, language, or license. Use this FIRST whenever the user wants to discover, find, compare, or pick an MCP server ("is there an MCP for X", "which MCP servers do Y"). Returns a ranked page of lean cards (slug, name, description, stars, category, transport). To read one server's full packages, tools, and install command, call catalog__get with a slug from these results; to learn which category/language/license values exist before filtering, call catalog__facets. Read-only - never installs or runs anything.
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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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  • Analyze a GitHub repository and generate 141 structured AXIS artifacts across 20 programs. Returns snapshot_id plus an artifacts listing; use get_artifact to read files and get_snapshot to re-enumerate outputs without re-running analysis. Requires Authorization: Bearer <api_key>. Use this when the source of truth is a GitHub repo URL. Pricing: $0.50 standard, $0.15 lite budget mode, $25 engineer per repo. Engineer mode (X-Agent-Mode: engineer — Living Architecture) adds a verified LLM specificity pass: a living-architecture.md whose every architectural claim is grounded in the repo's extracted facts or dropped. This is the paid path for full repo analysis and can return authentication, quota, payment-required, invalid-URL, or GitHub-fetch errors. private repos require a stored GitHub token. Use analyze_files instead for inline file payloads or list_programs/search_and_discover_tools when you are still selecting a workflow.
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  • Return the workspace this MCP API key is currently routed to, with the caller's role inside it. Use this to confirm context before/after `workspace.switch`.
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  • Check open-source project health for a GitHub repository — stars, forks, open issues, commit frequency, last commit date, contributor count, license, and a 0-100 composite health_score (popularity + activity + maintenance + governance). The "is this project alive and worth depending on?" tool. Source: GitHub API. PAID: $0.01 USDC per query after a daily free allowance (25/day). On a 402, pay the returned Solana memo and re-call with the SAME args plus payment_tx=<signature>. agent_id scopes your allowance; an Authorization: Bearer fnet_ key bypasses it.
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  • Returns turva.dev's service catalog: agent-readiness audit, advisory, implementation, agent operations, and MCP server design, plus the engagement model and pricing (fixed list prices for audit, advisory and implementation; agent operations and MCP server design on request). Use this when a user asks what turva.dev offers, what it costs, or how an engagement works. Read-only: returns static JSON and changes nothing.
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  • Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents
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  • Estimate token count + USD cost for a text across every major LLM (GPT-4o, GPT-4o-mini, o1, o1-mini, Claude 3.5 Sonnet/Haiku, Claude 3 Opus, Gemini 1.5 Pro/Flash, Llama 3 70B/8B) in one call. Returns per-model: estimated tokens, context-window fit %, input cost, and roundtrip cost (input+output). Also returns the cheapest and costliest model that fits. Use this before sending a long context to decide which model to route to. One call replaces 11 separate tokenizer lookups.
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  • Get a concise explanation of what Crinkl is and how the protocol works. Use this first if you have no prior context about Crinkl. Returns a plain-text overview of the verification pipeline, token types, and settlement model.
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