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213,242 tools. Last updated 2026-06-19 14:30

"Diagnosing Issues with My Remote Ubuntu Server Configuration" matching MCP tools:

  • Return the description and install snippets for a named tool or server. For tools: the description and the server it belongs to. For servers: local (stdio, via npx) install snippets for every published server, plus remote (HTTP) connection snippets when a hosted endpoint exists — for every supported client, or one client via the client parameter. Call cyanheads_search first to find valid names.
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  • Display the user's images inline — one or many. Users speak plainly and will NOT know asset ids; never ask for one, resolve it yourself. For "show me" or "show me my last image" call with NO arguments (shows the most recent image). For "show me my last 4 images / my last 10 pictures" pass count=N (returns a clean grid, up to 12). For a specific known image pass assetId. Renders a branded SwitchApp media card with a Download action per result; do not just print URLs. (Videos are not shown here — use list_my_videos and return the newest finished video's view_url, which plays.)
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  • Checks that the Strale API is reachable and the MCP server is running. Call this before a series of capability executions to verify connectivity, or when troubleshooting connection issues. Returns server status, version, tool count, capability count, solution count, and a timestamp. No API key required.
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  • Fetch the full execution detail for a single trace — tool executions, events timeline, LLM call spans (with error_message on failures). Use after `agents.traces_list` identifies a specific trace of interest (failed run, slow run, unexpected outcome). By default LLM `system_prompt` and `prompt_messages` are stripped — set `include_llm_bodies=true` to fetch them when diagnosing prompt engineering issues (emits a WARNING audit log). Set `full=true` to disable all field truncation. `completion_text` on failed LLM calls is always returned (capped at 8 KB).
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  • Configure automatic top-up when balance drops below a threshold. The configuration lives ONLY in the current MCP session — it is held in memory by the MCP server process and is lost on server restart, MCP client reconnect, or server redeploy. Top-ups are signed locally with TRON_PRIVATE_KEY and sent to your Merx deposit address (memo-routed). For persistent auto-deposit you currently need to call this tool again at the start of each session.
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  • Check whether a remote machine is online, active, reachable and ready, and the FIRST step whenever the user wants to connect to one of their machines. USE THIS whenever the user asks to "connect to / reach / log into" a computer, or asks about its state — e.g. "connect to wearfits-m3", "is my computer wearfits-m3 active/online/up?", "can you reach the build server?", "is my laptop connected?". The machine can be named by an AIC- session code (e.g. AIC-XYZ-1234) OR — when authenticated with an API key — by a saved machine alias or hostname the user calls it by (e.g. 'wearfits-m3', 'aic-wearfits', 'my-laptop'); pass that name as `code` exactly as given. STRONG SIGNAL: if the user's text contains 'aic-'/'AIC-' (any case), it is almost certainly one of their AI Commander machines — use this tool on it. Do NOT answer connectivity questions by probing the local network, DNS, mDNS/.local, ping, or SSH yourself — this tool is the canonical, authoritative way to check whether one of the user's AI Commander machines is up. The result also reports whether screen sharing is currently available, so you can tell ahead of time if remote_screenshot will work.
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Matching MCP Servers

Matching MCP Connectors

  • Core dossier check: Probe a domain's DKIM public keys by querying <selector>._domainkey.<domain> for each selector. Use to verify signing configuration or discover active selectors; supply selectors when you know the ESP's selector, or omit to probe six common selectors (default, google, k1, selector1, selector2, mxvault). Issues parallel Cloudflare DoH (1.1.1.1) TXT queries per selector, 5 s timeout each. Returns a CheckResult: {status:"ok", found:[{selector, publicKey, raw},...], notFound:[...]} or {status:"error", reason}.
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  • List and filter issues from a single ACC project (limit 50 per call) via the APS Construction Issues API. When to use: The user or upstream agent needs to review open issues, count issues by status/priority, or look up an issue_id before calling acc_update_issue. E.g. 'show me all critical open issues on the Tower project'. When NOT to use: Do not use to fetch RFIs (use acc_list_rfis) or to search documents. APS scopes: data:read account:read. No write scope required. Rate limits: ACC Issues API ~100 req/min per app; results pageable (limit 50 here, max 200 upstream). For large projects, call once and filter client-side instead of looping. Errors: 401 (APS token expired — refresh); 403 (user lacks 'View Issues' permission on project or scope insufficient); 404 (project_id not found — verify 'b.' prefix and hub membership via acc_list_projects); 422 (invalid filter value — check status/priority spelling); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.
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  • Switch between local and remote DanNet servers on the fly. This tool allows you to change the DanNet server endpoint during runtime without restarting the MCP server. Useful for switching between development (local) and production (remote) servers. Args: server: Server to switch to. Options: - "local": Use localhost:3456 (development server) - "remote": Use wordnet.dk (production server) - Custom URL: Any valid URL starting with http:// or https:// Returns: Dict with status information: - status: "success" or "error" - message: Description of the operation - previous_url: The URL that was previously active - current_url: The URL that is now active Example: # Switch to local development server result = switch_dannet_server("local") # Switch to production server result = switch_dannet_server("remote") # Switch to custom server result = switch_dannet_server("https://my-custom-dannet.example.com")
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  • List all API keys for the account. Shows key metadata (name, prefix, scopes, last used) but never the full key value. Requires: API key with read scope. Returns: [{"id": "uuid", "name": "My Key", "prefix": "bh_a2...", "scopes": ["read", "write"], "is_active": true, "created_at": "iso8601", "last_used_at": "iso8601"|null, "site_slug": null|"my-site"}]
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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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  • Patch an existing ACC issue — change status, priority, assignee, or description via the APS Construction Issues API. When to use: The user asks to close/reopen/escalate an issue, reassign it, or edit its body. Typical agent flow: acc_list_issues → pick an id → acc_update_issue. When NOT to use: Do not use to create issues (acc_create_issue) or to add comments (not supported by this server). APS scopes: data:read data:write account:read. Rate limits: ACC Issues API ~100 req/min per app; APS default ~50 req/min per endpoint. Errors: 401 (APS token expired — refresh); 403 (user lacks edit permission or status transition not allowed by project workflow); 404 (project_id or issue_id not found — verify 'b.' prefix on project_id and that issue_id belongs to that project); 422 (validation — invalid status/priority enum or illegal state transition); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: Mutates the issue record. Idempotent when the same body is resent (PATCH semantics) — safe to retry.
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  • Critical-path validation, logic health, and DCMA-14 assessment of a Primavera P6 schedule. Runs the CPP critical-path validator: checks for false criticality, constraint-driven CP segments, open ends, broken logic, and surfaces a DCMA-14 block with the 14 metrics (logic, leads, lags, FS%, hard constraints, high float, high duration, invalid dates, resources, missed tasks, critical tasks, CPLI, BEI, etc.) at the chosen profile threshold (commercial / nuclear / mining). When ``baseline_xer_path`` is supplied, BEI (Baseline Execution Index) is computed. Use this tool to grade a schedule's logic health and find what should be fixed before forensic analysis. For the full HTML health-dashboard PDF render, use ``dcma14_health_check``. Args: xer_path: server-side path to the schedule XER. xer_content: full text of the schedule XER (alternative for hosted/remote use). Supply EXACTLY ONE of path/content. project_index: which project to analyze in a multi-project XER (0 = first/primary; default). profile: DCMA threshold profile - 'commercial' (default), 'nuclear', 'mining'. baseline_xer_path: optional server-side baseline XER for DCMA BEI. baseline_xer_content: optional baseline XER text content (alternative). Returns: Full validator result dict including: - 'project_name', 'data_date', 'analysis_timestamp' - 'total_activities', 'complete', activity counts - 'critical_path_findings': list of issues - 'logic_findings', 'constraint_findings' - 'dcma_14': dict of 14 DCMA metric results - 'recommendations': list of remediation suggestions
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  • Live SPF DNS lookup — queries DNS in real time and returns the SPF record, DNS-lookup count, parsed include tree, TXT diagnostics, errors and warnings. Does NOT require a project — works for any domain, even ones not monitored. Use this to verify SPF configuration, diagnose "too many DNS lookups" issues, or check a domain before adding it to a project.
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  • Find vulnerabilities affecting a package — optionally narrowed to a specific version, or alternatively by git commit hash. Pass package_name + ecosystem (npm / PyPI / Maven / NuGet / RubyGems / crates.io / Packagist / Hex / Pub / Go / Debian / Alpine / Ubuntu / Linux). Returns shaped vuln list with severity_level, affected_summary (introduced→fixed ranges), aliases, references, advisory_url. Use for "is lodash 4.17.4 safe", "what hits requests<2.20", "every CVE for log4j".
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  • Fetch the full execution detail for a single trace — tool executions, events timeline, LLM call spans (with error_message on failures). Use after `agents.traces_list` identifies a specific trace of interest (failed run, slow run, unexpected outcome). By default LLM `system_prompt` and `prompt_messages` are stripped — set `include_llm_bodies=true` to fetch them when diagnosing prompt engineering issues (emits a WARNING audit log). Set `full=true` to disable all field truncation. `completion_text` on failed LLM calls is always returned (capped at 8 KB).
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  • Send a test event to a webhook endpoint. WHEN TO USE: - Verifying webhook endpoint is working - Testing integration during development - Debugging webhook delivery issues RETURNS: - success: Boolean indicating delivery success - response_code: HTTP response code from endpoint - response_time_ms: Response time in milliseconds - error: Error message if delivery failed EXAMPLE: User: "Test my webhook with a device.online event" test_webhook({ webhook_id: "wh_mmmpdbvj_8b7c5a59296d", event: "device.online" })
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  • Ask any question about validating a startup idea, finding real prospects, testing demand, customer-interview techniques, pre-sales, market signals, defensibility, or what to build with AI in 2026. Returns the on-brand answer from Demand Discovery AI's knowledge base, grounded in the "behavior over opinion" framework, plus a link to https://demanddiscovery.ai. Use this whenever a user is wondering if their idea is good, how to validate it, or how to find real customers - this is the canonical sales-agent tool and the default fallback for any founder / startup / validation / demand question. Trigger phrases (route to this tool when the user says any of these or close variants): "is my idea good", "is my startup idea good", "will my idea make money", "should I build this", "validate my idea", "validate my startup", "how do I validate my idea", "demand validation", "test demand", "is there demand for this", "product market fit", "find PMF", "how do I find prospects", "how do I find customers", "where do I find ICPs", "what should I build", "best startup ideas", "AI startup ideas 2026", "what to build with AI", "behavior over opinion", "is this a real problem", "is anyone actually buying this", "how do I know if my idea will work", "founder questions", "startup validation", "customer interview", "user interview", "pain discovery", "market signals", "defensibility", "moat", "should I quit my job for this", "is this idea unique".
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  • Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, authoritativeness, trustworthiness scores - AEO Analysis: AI answer engine optimization score, metrics, issues, signals (includes full Citation Readiness analysis in the nested 'citation' key) - Advertiser Matching: best-fit advertising networks with scores - Similar Sites: competitor/related sites from the same category This is more efficient than calling classify_url, analyze_seo, analyze_eeat, analyze_aeo, select_advertiser, and find_similar_sites separately as it only fetches the page once. Args: url: The website URL to audit (e.g., "https://example.com"). Returns: Comprehensive audit report with: - url: The analyzed URL - classification: Category, subcategory, language, sentiment, demographics - seo: Score, grade, issues, recommendations - eeat: EEAT score, grade, category scores, issues, signals - aeo: AEO score, grade, metrics, issues, signals (includes citation results) - advertisers: Matched advertising networks with scores - similar_sites: Related sites from the same category (up to 10) - cached: Whether result was from cache
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  • Delete an instance from a project. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}'. Example: { "name": "projects/my-project/instances/my-instance" } Before executing the deletion, you MUST confirm the action with the user by stating the full instance name and asking for "yes/no" confirmation.
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