"Understanding Cline Rules Automation" matching MCP tools:

• validate_scene

  Web3d-mcp

  Validate scene_data before generating 3D code. Runs 12 structural checks across 4 categories: S — Structure (4 rules): scene_id, objects array, camera validity O — Objects (5 rules): ids, positions, frustum bounds, overlap, pending synthesis contracts L — Lighting (2 rules): non-ambient light presence, intensity range A — Animation(2 rules): target_id resolution, config fields Severity levels: error → blocks codegen. Must fix before generate_r3f_code. warn → does not block. Review before proceeding. Returns is_valid: true only when zero "error" rules fail. Returns next_step string with exact instruction for what to do next. Call this tool AFTER generate_scene and BEFORE synthesize_geometry. If is_valid is false, call edit_scene to fix errors, then re-run validate_scene before proceeding to codegen.

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• automation_test

  Perspective AI

  Runs a single end-to-end execution of an existing automation against a mock conversation, returning success/failure plus the channel target and duration. Mirrors a real production firing. Behavior: - Sends REAL messages: posts the configured webhook, sends the configured email, posts the Slack message, or writes the HubSpot record. Use override_email (email channels) to redirect delivery to a safe test target. - Each call fires another real delivery. - Errors when the perspective or automation is not found, or you do not have access. Webhook automations whose endpoint URL hasn't been set yet (at configure_url) error with a pointer to that page. - Mock conversation defaults: trust score 85, status complete, "Test Participant" / test@example.com. Override participant_name, summary, and tags via test_data. - Returns success: true also when the automation's condition skips delivery (e.g., tag/trust filter doesn't match the mock). The error field is populated only on real delivery failures. When to use this tool: - Verifying a freshly-created automation actually delivers before relying on it (override_email directs email tests to a safe target instead of real recipients). - Reproducing a delivery failure surfaced in automation_list (last_error). When NOT to use this tool: - Listing what's configured — use automation_list. - Changing config — use automation_update. - Removing the automation — use automation_delete.

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• get_agent_registry

  DC Hub — Data Center & Power Intelligence

  Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status).

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• get_agent_registry

  DC Hub — Data Center Intelligence MCP Server

  Curated roster of the AI platforms + agent frameworks in the DC Hub agent ecosystem — each with its recommended DC Hub tools and authentication tier. Recognized MCP clients include Claude and Cursor, with Cline, Continue and other agents surfaced as they are integrated. Use it to see which platforms DC Hub supports and how to connect them. Try: get_agent_registry. NOTE: this is a curated ecosystem/capability index, NOT live per-caller call/citation telemetry. Do NOT use for platform uptime / backup health (use get_backup_status).

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• remove_email_from_list

  mailopoly

  Remove an email from one of the user's email lists. Note: if the email matches the list's rules it may be re-added when the rules are re-evaluated — edit the list's rules in the app for a permanent exclusion.

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• search_rules

  OpenAccountants

  Query individual tax RULES/FACTS (rates, thresholds, rules, definitions, tables) ACROSS jurisdictions and metadata, and get back a bundled markdown rule set the user can save and run locally. Unlike get_skill (one whole skill), this assembles a cross-cutting SET — e.g. 'VAT rates in MT, IE and DE', 'all income-tax thresholds for 2025', or 'rules mentioning reverse charge'. By default returns ALL matching rules, each tagged with its verification status; pass status:'verified' for accountant-/research-verified only. Call `list_rule_facets` first to see the queryable values.

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• automation_update

  Perspective AI

  Updates fields on an existing automation. Pass a partial updates object with only the fields you want to change; omitted fields are preserved. Toggling enabled or changing schedule/channel/condition takes effect on the next scheduled run. Behavior: - Saves the change to the same automation record. Scheduled automations with an active workflow are restarted on update so the next run picks up the latest config. - Errors when the perspective or automation is not found, or you do not have access. - For HubSpot, the workspace's HubSpot connection is re-checked — errors with "Could not resolve HubSpot portal ID — please reconnect HubSpot" if disconnected. - Webhook channels: do NOT ask the user for the endpoint URL or credentials — neither is accepted through this tool. The stored URL/auth header are preserved when the channel is re-specified, switching to a webhook channel starts disabled, and enabling errors until the URL has been set at configure_url (returned in the response). - For scheduled automations: changes to channel, condition, execution mode, instruction, or message template apply starting from the next run, not the one currently in flight. When to use this tool: - Toggling enabled on or off (also pauses/resumes scheduled sends). - Changing schedule, channel, condition, instruction, or message_template on a live automation. When NOT to use this tool: - Removing the automation entirely — use automation_delete. - Verifying a config change actually delivers — follow up with automation_test. - Listing what's configured — use automation_list.

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• automation_create

  Perspective AI

  Creates an automation on a perspective. Triggers: per_interview (fires on every completed conversation) or scheduled (daily/weekly digest). Channels: webhook, email, slack, hubspot. Execution modes: direct (fast, deterministic) or agent (LLM-powered). Behavior: - Each call creates a new automation — even if name/config matches an existing one. - Once enabled, the automation starts firing on real events: per_interview sends on every completed conversation going forward; scheduled sends a real message on the configured cadence (daily/weekly). - For HubSpot, the workspace's HubSpot connection is required — errors with "Could not resolve HubSpot portal ID — please reconnect HubSpot" if not connected. - Webhook channels: do NOT ask the user for the endpoint URL or credentials — neither is accepted through this tool. The automation is created disabled and the response includes configure_url, a web app page where the user sets the URL (and an authentication header if needed). Share that link and ask the user to reply "Done" after saving, then enable the automation via automation_update. - Errors when the perspective is not found or you do not have access. When to use this tool: - The user wants ongoing notifications on every completed conversation (per_interview). - Building a daily/weekly digest delivered to Slack, email, HubSpot, or a webhook (scheduled). When NOT to use this tool: - Trying a one-off send before going live — create the automation, then use automation_test (use override_email on email channels to avoid hitting real recipients). - Editing or toggling an existing automation — use automation_update. - Connecting Slack or HubSpot — use integration_manage first; the provider must be connected before slack/hubspot channels work. Example — per-conversation Slack notify (resolve the channel with slack_channel_resolve first, then pass it as resource_id): ``` { "perspective_id": "...", "automation": { "name": "Notify Slack", "trigger": { "type": "per_interview" }, "execution_mode": "agent", "channel": { "type": "composio", "delivery_config": { "provider": "slackbot", "tool_slug": "SLACKBOT_SEND_MESSAGE", "resource_id": "C0123ABCD", "resource_name": "#research" } } } } ``` resource_id is the Slack channel ID or name. The channel is re-verified live on create; an unresolvable channel is rejected. Typical flow: 1. integration_manage (operation: "list"/"connect") → ensure Slack / HubSpot is connected (only needed for those channels) 2. For Slack: slack_channel_search / slack_channel_resolve → find/verify the channel to use as resource_id 3. automation_create → create the automation 4. automation_test (with overrides) → verify delivery before relying on it

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• automation_delete

  Perspective AI

  Permanently deletes an automation. Pauses any scheduled sends first, then removes the automation. Behavior: - DESTRUCTIVE and irreversible — the automation cannot be recovered. No undo. - Errors when the perspective or automation is not found, or you do not have access. Deleting an already-deleted automation errors as well. - If pausing the scheduled sender fails, the deletion is aborted and you'll get success: false with "Failed to stop running workflow. Please try again." — the automation stays intact in that case. When to use this tool: - The user explicitly asked to remove an automation and confirmed. - Cleaning up a misconfigured automation that automation_test repeatedly fails on. When NOT to use this tool: - The user just wants to pause it temporarily — use automation_update with { enabled: false } instead. - You're not sure which automation_id is correct — confirm via automation_list first.

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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

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• get_category_landscape

  StackSwap

  Full map of one GTM category — leaders, runner-ups, and skip/replace candidates. Returns every catalogued tool in the bucket with cost, AI-readiness, swap-registry status, and partner sign-up links. Use when the user wants to see the full landscape for a category (e.g. 'show me all CRMs', 'what outbound tools exist', 'map the analytics category') — strictly more comprehensive than `recommend_partner` (single best pick). Known buckets: crm, outbound, data, marketing-automation, analytics, meetings, support, scheduling, automation, seo, cdp, revenue-intelligence, chat, collaboration, phone, landing-pages, linkedin, ai-content, saas-mgmt, enablement, ai-tooling.

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• install_snippets

  Omnicall — Agent Tools Gateway

  Return ready-to-paste configuration snippets for installing this MCP server in Claude Code, Cursor, Cline, Continue.dev, Windsurf, and Zed. Free.

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• genflowai_list_topics

  GenflowAI

  List live marketplace topic tags that can be used to guide template discovery in English, Chinese, Japanese, ecommerce, creator, product photography, video ads, and workflow automation use cases.

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• create_rule

  Sweeppea MCP

  Create a new official rules document for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. SECONDARY RULES WARNING: Before creating rules, call fetch_rules to check if the sweepstakes already has primary rules. If primary rules already exist, WARN the user that the new rules will be created as SECONDARY and will NOT be the ones published on the Entry Page or assigned to the short URL (swpp.me/r/[handler]). The short URL always points to the primary rules. The user can change which rules are primary in the Official Rules section of the app. Only proceed after the user acknowledges this. # create_rule ## When to use Create a new official rules document for a sweepstakes. Use fetch_sweepstakes first to get the sweepstakes_token. SECONDARY RULES WARNING: Before creating rules, call fetch_rules to check if the sweepstakes already has primary rules. If primary rules already exist, WARN the user that the new rules will be created as SECONDARY and will NOT be the ones published on the Entry Page or assigned to the short URL (swpp.me/r/[handler]). The short URL always points to the primary rules. The user can change which rules are primary in the Official Rules section of the app. Only proceed after the user acknowledges this. ## Pre-calls required 1. fetch_sweepstakes if the user gave you a sweepstakes name instead of a token 2. fetch_rules(sweepstakes_token) — if primary rules exist, WARN that the new one will be SECONDARY ## Parameters to validate before calling - sweepstakes_token (string, required) — The sweepstakes token (UUID format) - title (string, required) — Title of the official rules document (max 100 characters) - document_content (string, required) — Full HTML content of the official rules (max 1,000,000 characters) ## Notes - Prefer create_rules_wizard for legal-grade Official Rules - Use this only when you have a fully prepared HTML document and the wizard does not apply

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• read_guides

  Arcadia Finance

  Get Arcadia workflow guides and reference documentation. Call this before multi-step workflows (opening LP positions, enabling automation, closing positions) or when you need contract addresses, asset manager addresses, or strategy parameters. Topics: overview (addresses + tool catalog), automation (rebalancer/compounder setup), strategies (step-by-step templates), selection (how to evaluate and parameterize strategies).

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• automation_list

  Perspective AI

  Lists every automation configured on a perspective with its trigger, channel (sensitive details redacted), execution mode, enabled state, schedule description, and recent error/success metadata. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Sensitive parts of channel delivery (e.g., webhook auth headers, full URLs) are redacted before being returned. - has_error / last_error / last_error_at / failure_count appear only when there have been recent failures. When to use this tool: - Auditing what's wired up on a perspective before adding more automations. - Finding an automation_id to feed into automation_update, automation_delete, or automation_test. - Diagnosing a failing automation via last_error / failure_count. When NOT to use this tool: - Creating a new automation — use automation_create. - Toggling enabled or changing config — use automation_update. - Verifying delivery actually works — use automation_test.

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• policy_register

  agentguard

  View the central policy registry. Query tiers (T1-T4), tool classifications, escalation rules. Actions: summary (default), lookup (by tool_name), tiers, rules, tools (by tier_id).

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• discover

  XFMS — Model Source

  Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.

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• ftg_business_ideas

  mcp-knowledge

  Return vetted, automation-scored business ideas from the FTG idea bank — each with an autonomy score, monetization model and conservative/median/optimistic MRR projections. When to use this tool: an agent or founder wants ranked, buildable business ideas. Input: optional category and limit.

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