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150,752 tools. Last updated 2026-05-28 06:19

"Debugging in Cursor for Vibe Coders" matching MCP tools:

  • MONITORING: Fetch Terraform deployment logs with pagination Fetches logs from a running or completed Terraform deployment job. For **completed jobs**: uses REST endpoint for instant retrieval (supports `tail` for server-side filtering). For **running jobs**: streams via SSE with timeout-based pagination. **PAGINATION** (running jobs only): Use `last_event_id` from the response to fetch more: 1. First call: `tflogs(session_id='...')` → get logs + `last_event_id` 2. Next call: `tflogs(session_id='...', last_event_id='...')` → get NEW logs only 3. Repeat until `complete: true` in response **RESPONSE FIELDS**: - `logs`: Array of log messages collected - `last_event_id`: Pass this back to get more logs (pagination cursor, SSE only) - `complete`: true if job finished, false if more logs may be available - `total_logs`: total log entries before tail truncation REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs), timeout (default 50s, max 55s), last_event_id (for pagination), tail (return only last N entries) ⚠️ CONTEXT WARNING: Deploy logs can be hundreds of lines. Use tail: 50 for completed jobs to avoid blowing up the context window.
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  • Returns a paginated list of domains from the tracker database. Results are ordered alphabetically by domain name and support cursor-based pagination for full traversal. Filtering by category and minimum score allows targeted data extraction. Use this tool when: - You want to enumerate all known ad-tech or analytics domains above a risk threshold. - You need a dataset of tracker domains for offline analysis. - You are paginating through a category to build a block list. Do NOT use this tool when: - You need data for a specific domain — use `get_domain` instead. - You are searching by keyword — use `search` instead. - You want domains belonging to a specific company — use `get_entity` instead. Inputs: - `category` (query, optional): Filter by surveillance category. One of: `ad_tech`, `analytics`, `social`, `fingerprinting`, `content`, `cdn`, `other`. - `min_score` (query, optional): Integer 0-100. Exclude domains scoring below this value. - `limit` (query, optional): Number of results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from the previous response's `next_cursor` field. Returns: - Array of domain list items (domain, category, score, prevalence, entity summary). - `meta.has_more`: true if more pages exist. - `meta.next_cursor`: pass as `cursor` to get the next page. - `meta.count`: number of results in this page. Cost: - Free tier: up to 20 results/page, 50 req/day. Pro/enterprise: up to 100 results/page. Latency: - Typical: <200ms, p99: <500ms.
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  • List products from the connected store, paginated. Use this tool when an agent needs to DISCOVER products by browsing the catalog rather than VERIFYING a known SKU. The response includes the SKU for every product, so a follow-up ``check_stock(sku)`` or ``get_product_details(sku)`` is a natural next step. Args: limit: Number of products to return (1-50, default 10). cursor: Opaque cursor from a previous response's ``next_cursor``. Omit for the first page. Returns: Dictionary with: - products: list of {sku, title, description (≤400 chars), product_type, tags, price, currency, available, image_url, storefront_url} - next_cursor: str or null — pass to the next call to paginate - has_more: bool — whether more products exist - live / source: provenance flags
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  • Returns a paginated list of corporate entities in the TunnelMind surveillance database. Includes data categories, estimated data value, and industry classification. Useful for enumerating the surveillance ecosystem by sector. Use this tool when: - You want to enumerate all entities in a specific industry (e.g., all ad-tech companies). - You need a dataset of surveillance entities for analysis or reporting. - You are building a comprehensive surveillance landscape map. Do NOT use this tool when: - You need the full profile of a specific entity — use `get_entity` instead. - You are searching by entity name — use `search` instead. - You need domain-level data — use `list_domains` instead. Inputs: - `industry` (query, optional): Filter by industry classification. Examples: `ad_tech`, `analytics`, `data_broker`, `social`, `crm`. - `limit` (query, optional): Results per page. Max 100 (paid), 20 (free). Default 50. - `cursor` (query, optional): Pagination cursor from previous response's `next_cursor`. Returns: - Array of entity list items (slug, name, parent_company, industry, data_categories, data_cost_usd). - `meta.has_more` and `meta.next_cursor` for pagination. Cost: - Free tier: up to 20 results/page, 50 req/day. Pro/enterprise: up to 100 results/page. Latency: - Typical: <150ms, p99: <400ms.
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  • WHEN: generating a visual diagram of D365 table relationships or security chains. Triggers: 'generate diagram', 'diagramme', 'visualize', 'schéma', 'ER diagram', 'entity-relationship', 'relation diagram', 'security diagram', 'show connections'. Generate visual Mermaid diagrams from D365 F&O knowledge base data. Diagrams render directly in Copilot Chat, Cursor, Claude, and markdown viewers. Types: 'er' (entity-relationship diagram for a table and its relations), 'security' (security chain: Role->Duty->Privilege->EntryPoints -- use when you need a VISUAL Mermaid diagram; for the structured text chain with tables of duties/privileges/entry-points use `trace_security_chain` instead). Note: 'flow' (execution flowchart) is disabled -- static call trees are misleading in D365 due to CoC and event handlers.
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Matching MCP Servers

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Matching MCP Connectors

  • Ask business questions in plain English. Get instant answers from your database, no SQL needed.

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

  • Get the SCEvent stream for a session — all observed transitions reconstructed from status_history. Returns events[] with discriminated union by event_type (sc.scheduled, sc.confirmed, sc.completed, sc.delivered, sc.verified, sc.cancelled, etc.), plus stream_completeness ("complete" | "partial_pre_trigger") and pagination cursor. Events carry origin="reprojected_from_status_history" and canonical SCEvent shape per docs/protocol/sc-event-canonical-schema-2026-04-18.md §7.2. Filters: event_types (e.g. ["sc.delivered"]), from_sequence (cursor), limit (default 50, max 500). PII note: delivery_proof clinical fields (summary, outcome, next_steps) are returned only for admin-scoped keys. IMPORTANT: backfilled sc_resolved timestamps do NOT emit sc.resolved events in this stream (Forma B, see decisions log 2026-04-18-lifecycle-history-backfill-policy). For current resolution status, use lifecycle_get_state.sc_resolution. Requires X-Org-Api-Key.
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  • Explicitly close a sncro session — "Finished With Engines". Call this when you are done debugging and will not need the sncro tools again in this conversation. After this returns, all sncro tool calls on this key will refuse with a SESSION_CLOSED message — that is your signal to stop trying to use them and not apologise about it. Use it when: - The original problem is solved and the conversation has moved on - The user explicitly says "we're done with sncro for now" - You're entering a long stretch of work that won't need browser visibility The session can't be reopened. If you need browser visibility later, ask the user whether to start a new one with create_session.
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  • Returns a token-efficient batch of conversations for bulk analysis. Default output is summaries only (id, summary, trust_score, status, created_at) plus the perspective outline; opt in to full XML transcripts via include_transcripts=true. Default format is TOON (compact); JSON available. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Filters: period (7d/30d/90d/all, default 30d), status, trust_score range. Page size up to 50, default 10. Pass nextCursor back as cursor for the next batch. - Response includes total_matching, returned_count, has_more, nextCursor for sizing. - Citation format when transcripts are included: "conversation_id:message_index". When to use this tool: - Thematic analysis, sentiment distribution, or pattern detection across many conversations. - Building a research summary from many summaries cheaply, then drilling into specific transcripts. - Bulk export with filters. When NOT to use this tool: - Need one conversation in full detail (voice snippets, trust dimensions) — use perspective_get_conversation. - Just need a browsable list with metadata — use perspective_list_conversations. - Aggregate counts only — use perspective_get_stats (call first to size the dataset before batching).
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  • Semantic search across the user's entire library by meaning, theme, or vibe. Searches every book/movie/album/show/anime as one corpus. Use for cross-media or thematic questions like "things about grief" or "noir mood". For specific title/creator lookups, use the keyword `search` tool instead.
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  • List products from the connected store, paginated. Use this tool when an agent needs to DISCOVER products by browsing the catalog rather than VERIFYING a known SKU. The response includes the SKU for every product, so a follow-up ``check_stock(sku)`` or ``get_product_details(sku)`` is a natural next step. Args: limit: Number of products to return (1-50, default 10). cursor: Opaque cursor from a previous response's ``next_cursor``. Omit for the first page. Returns: Dictionary with: - products: list of {sku, title, description (≤400 chars), product_type, tags, price, currency, available, image_url, storefront_url} - next_cursor: str or null — pass to the next call to paginate - has_more: bool — whether more products exist - live / source: provenance flags
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  • Interleaved cross-org release feed for a collection — same shape as `get_latest_releases` but scoped to the collection's member orgs. Cursor-paginated: pass `limit` for slice size (default 20), `cursor` to continue from a prior call. The result's `_meta.pagination` carries `kind: 'cursor'`, `hasMore`, and `nextCursor` when more rows exist; the response text echoes `nextCursor` so an LLM caller can chain without parsing `_meta`. Cursors are stable under inserts.
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  • Share a solution. Call after the user confirms they want to contribute. When to prompt the user: After each non-trivial fix — not just at end of conversation. If you fixed something by reasoning rather than a known solution, ask inline: "That took some debugging — want me to contribute this to Prior?" Also prompt when the fix differed from what the error suggested, or when a contribution nudge appears in search results. Before submitting, read prior://docs/contributing for field guidance. Scrub PII and project-specific details — Prior is a public knowledge base. Write for developers on unrelated projects, not your team. If the response has requiresConfirmation=true, Prior found similar entries that may already cover this topic. Review them — if they solve the problem, don't re-contribute. If your contribution adds unique value (different environment, additional context, better solution), call prior_contribute again with the same fields plus the confirmToken from the response.
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  • List vibes available to the authenticated user. Returns vibe IDs, names, and sources (system or custom) that can be passed as vibe_id to generate_presentation.
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  • Discover AXIS install metadata, pricing, and shareable manifests for commerce-capable agents. Free, no auth, and no mutation beyond read access. Example: call before wiring AXIS into Claude Desktop, Cursor, or VS Code. Use this when you need onboarding and ecosystem setup details. Use search_and_discover_tools instead for keyword routing or discover_agentic_purchasing_needs for purchasing-task triage.
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  • [cost: free (pure CPU, no network) | read-only] Diff a SIP/SDP offer and answer and surface the issues that actually break calls in practice: codec intersection per m-line, direction compatibility (sendrecv ↔ recvonly), DTLS setup-role conflicts (active+active / passive+passive), rtcp-mux / BUNDLE asymmetry, missing DTLS fingerprints when DTLS-SRTP is negotiated, ICE asymmetry, and fax reinvite mismatches (e.g. offer `m=image udptl t38` answered with audio-only, or `T38FaxVersion` / `T38FaxMaxBuffer` / `T38FaxRateManagement` drift). Use when the user has both halves of a negotiation and is debugging 488 Not Acceptable Here, no-audio, one-way-audio, or a failed T.38 reinvite (488 / 415 / 606 on a `m=image` offer). Pair with: `parse_sdp` to inspect either side in isolation; `search_sip_docs(vendor=...)` to ground vendor-specific fixes (FreeSWITCH `mod_spandsp`, Cisco CUBE `fax protocol t38`); `lookup_response_code(488)` for the static SIP-side context.
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  • Consult prior incidents from other AI coding sessions for a transferable pattern relevant to your situation. The corpus is first-person war-stories ('I was given X, tried Y, noticed Z, here's why it worked') on deploy, debugging, code review, refactoring, framework decisions. Reach for this BEFORE falling back on training — real incidents catch gotchas parametric knowledge misses. Returns ranked matches with 'why_relevant' snippets; follow up with fetch_story.
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  • Newest-first listing of the caller's in-app alert inbox. Each item is a single fire of an alert with a `dashboard` channel — written by the cron evaluator (or `test_alert`). By default dismissed items are hidden and read items are included. Cursor-paginated by `fired_at`. Sample tier rejected — alerts are a paid-tier feature.
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  • Wait for a pending response from Riley after a convoreply timeout. 🎯 USE THIS TOOL WHEN: convoreply returned a timeout error. This allows you to continue waiting for the response without resending the message. REQUIRES: - session_id: from convoopen response OPTIONAL: - message_id: if known (from convoreply timeout error) - timeout (integer): seconds to wait. For Cursor, use 50 (default). Max 55. Returns the same format as convoreply when successful.
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  • Replay ordered tower events for a single (firm, game) pair. WHAT IT DOES: GETs /v1/replay/firm/:firm/game/:game. Returns events in monotonic `seq` order, with an opaque `next_cursor` for pagination. Read only, no auth required. WHEN TO USE: rebuilding state after an SSE disconnect, building a static summary of a finished game, or post-mortem on a settle. Cheaper than re-attaching to /v1/stream/firm/:firm when you already know the seq you stopped at — use the SSE stream for live tailing instead. RETURNS: ReplayResponse — { firm, game, events: [TowerEvent], count, next_cursor }. Each TowerEvent has { seq, ts (unix ms), type, firm, game, agent_wallet, data }. PAGINATION: pass the previous response's `next_cursor` as `cursor`. When `next_cursor` is null you've reached head of stream. RELATED: tower_floors (current snapshot), firm_ingest (publish events).
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