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221,602 tools. Last updated 2026-06-21 14:49

"How to create tasks or issues in Jira" matching MCP tools:

  • [IN DEVELOPMENT] [READ] (CLIENT-SIDE) List Shillbot tasks awaiting your client review across all of your campaigns. Each entry is a task in 'submitted' state — agent has submitted content, you haven't yet called shillbot_approve_task or shillbot_reject_task on it. Use this to populate a review queue / inbox. Requires a registered wallet (the calling wallet must be the campaign client). Optional `network`: 'mainnet' (default) or 'devnet'.
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  • Create a real issue (punchlist/QC item) in ACC Build's Issues module via the APS Construction Issues v1 API. Returns the ACC-generated issue_id which can be linked back to a model URN or a detected clash. When to use: detect_clashes flagged a critical clash, or a field user reports a QC defect, and you want to track it in ACC for assignment and closeout. When NOT to use: you want to file a formal information request between trades — use acc_create_rfi instead. You want a note on a model element — that is a markup, not an issue. APS scopes: data:read data:write account:read Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired/invalid — refresh; 403 scope or resource permission denied (app not provisioned for the project's ACC account); 404 project_id not found — check the ID (strip any leading 'b.'); 429 rate limited — backoff and retry; 5xx APS upstream outage — retry with jitter. Side effects: NON-IDEMPOTENT. Creates a new ACC issue each call (repeated calls create duplicates). Inserts a row into D1 usage_log.
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  • Create a new ACC issue (field observation, coordination clash, safety, quality, etc.) in the target project via the APS Construction Issues API. When to use: The user wants to log a new issue — e.g. 'open a high-priority issue about the leaking valve on level 3' or a downstream agent detected a defect during a model review and needs to record it for the project team. When NOT to use: Do not use to modify an existing issue (use acc_update_issue) and do not use for RFIs (use acc_create_rfi). APS scopes: data:read data:write account:read. Rate limits: ACC Issues API limited to ~100 req/min per app; APS default ~50 req/min per endpoint — batch creations with backoff. Errors: 401 (APS token expired — refresh); 403 (user lacks 'Create Issues' permission on the project or scope insufficient — surface to user); 404 (project_id not found — verify the 'b.' prefix and that the project belongs to a hub the app can see via acc_list_projects); 422 (validation — required field like title/description missing or priority enum invalid); 429 (rate limit — retry after 60s); 5xx (ACC upstream — retry with jitter, do not double-create). Side effects: Creates a persistent issue record visible to all project members. NOT idempotent — a retry on a 5xx may create duplicates; dedupe by title before retrying.
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  • Run a natural-language analytics question against your connected data sources. Consumes AI credits. Returns either the completed analysis result inline OR a job_id you can poll with get_analysis_status. If list_data_sources returns an empty list, ingest data first with upload_data_source (inline base64), ingest_url_data_source (public URL), or request_oauth_integration_url (Google / Meta / Jira / Confluence).
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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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  • 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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Matching MCP Servers

  • A
    license
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    quality
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    maintenance
    A server that enables retrieval of Sentry issues through two simple tools - get a specific issue by URL/ID or get a list of issues from a project.
    Last updated
    2
    39
    5
    MIT

Matching MCP Connectors

  • Jira MCP Pack

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Add one or more tasks to an event (task list). Supports bulk creation. IMPORTANT: Set response_type correctly — use "text" for info collection (names, phones, emails, notes), "photo" for visual verification (inspections, serial numbers, damage checks), "checkbox" only for simple confirmations. NOTE: To dispatch tasks to the Claude Code agent running on Mike's PC, use tascan_dispatch_to_agent instead — it routes directly to the agent's inbox with zero configuration needed.
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  • Render the user's day as the interactive 24-hour reassign dial, right in the conversation — use it whenever they want to SEE their day, their schedule laid out, how full it looks, or to visually move things around. Defaults to today; pass `date` (ISO YYYY-MM-DD) for another day. For reading or reasoning about the plan in text, prefer get_schedule.
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  • Update multiple existing tasks in one action. Use this instead of calling update_task multiple times when the user asks to change several tasks at once. All updates are applied atomically.
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  • List available categories of physical-world tasks. Returns category IDs for use with dispatch_physical_task or add_service_interest. Any real-world task can be dispatched even without a category. No authentication required. Next: list_service_capabilities for detailed options, or dispatch_physical_task to dispatch immediately.
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  • Use when you have lost track of a task_id or want to review your past human task requests. Returns all tasks you have submitted, newest first: id, status, description, result, and timestamps.
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  • How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.
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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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  • 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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  • Create a new workspace in the caller's org. Works for both user and agent callers; agent-created workspaces attribute to the agent and enroll the agent's owning user as a co-owner so the human sees it in their dashboard. The new workspace is seeded with one primary surface matching `mode`: `doc` → a Notes tab (for prose), `table` → a Sheet tab (for records), `html` → a Mockup tab (sandboxed HTML preview). Decide the surface before you create: prose (briefs, notes, summaries, drafts) → `doc`; records with shared columns (tasks, leads, rows) → `table`. If you omit `mode`, pass `initial_markdown` to signal a `doc`; with neither `mode` nor `initial_markdown`, an agent caller gets a guided error asking it to choose `doc` or `table` (so you never silently land on the wrong surface). An explicit `mode` is always honored. `html` is only picked when explicitly requested. Add more tabs of any kind later via `create_surface`. Agent-created workspaces default to org-visibility so sibling agents in the same org aren't 403'd. For prose content (briefs, summaries, changelogs) pass `initial_markdown` to seed the doc body in one call; the markdown is converted server-side, no need to hand-build ProseMirror JSON.
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  • List application guides that show how Blueprint principles apply to engineering challenges (security, evaluation, observability, etc.). Use this to discover which guides exist before drilling in. Prefer guides.search when the user describes a topic or failure mode in natural language. Prefer guides.get when you already know the guide slug and need full detail.
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  • Initiate an OAuth handoff to a vendor integration (Google Ads, GA4, Search Console, Sheets, Drive, BigQuery, Meta Ads, Jira, Confluence). Returns an authorization URL the user opens in a browser. After the user clicks Allow, the connection is created and you can poll check_integration_status(handoff_id) to find out when the data is ready.
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  • Read-only fit check for vacation-rental hosts who ask an AI agent how to create an own-domain booking website or booking engine. Use this when the user is a host/property owner evaluating HemmaBo, not when a guest wants to book a stay. It explains whether HemmaBo is a fit, what the host gets (booking website, guest Wallet, Stripe Connect direct-to-host payments, calendar/iCal sync, Konversa guest chat in 11 languages, reviews, gap-night and extend-stay flows, AI-agent-readable booking data), what setup inputs are needed, and the safe next step. It does not create an account, buy a domain, configure Stripe, write to Supabase, collect host PII, or provision a website.
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  • Create a new funnel on a project. Steps are 2–10 ordered events or pageview paths. conversionWindowMs caps how long a visitor has between consecutive steps (default 7 days); this is the step-to-step limit, without which a funnel is just event co-occurrence. Returns { id } on success.
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  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
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