"Browser Automation Tools for Questionnaires" matching MCP tools:

• end_session

  sncro

  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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• 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. - Webhook URLs in updates are validated. For HubSpot, the workspace's HubSpot connection is re-checked — errors with "Could not resolve HubSpot portal ID — please reconnect HubSpot" if disconnected. - 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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• calls_meet_browser

  DialogBrain

  Attach to a Google Meet bot's live browser to diagnose and recover a bot that isn't visibly joining. Pass the meet session's call_id; returns a page_id. Then drive the bot's Meet page with the generic browser tools (browser.snapshot / browser.click / browser.take_screenshot / browser.evaluate / browser.console_messages / browser.network_requests) using that page_id — read the snapshot to see whether the bot is in the lobby, blocked, or admitted, and click guest-side controls to recover a stalled join. Note: host admission ('Admit') happens in the host's own browser and is not present on the bot's page.

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• read_account_info

  Arcadia Finance

  Get full overview of an Arcadia account: health factor, collateral value, debt, deposited assets, liquidation price, and automation status. Health factor = 1 - (used_margin / liquidation_value): 1 = no debt (safest), >0 = healthy, 0 = liquidation threshold, <0 = past liquidation. Higher is safer. On all supported chains returns an `automation` object showing which asset managers are enabled (rebalancer, compounder, yield_claimer, merkl_operator, gas_relayer, cow_swapper). Automation detection spans every asset-manager version deployed on the selected chain, so registrations made on older versions are still reported as active; the returned value is the user-facing dex_protocol (e.g. 'slipstream') with no version suffix. LP positions in assets[] include a dex_protocol field (slipstream, slipstream_v2, slipstream_v3, staked_slipstream, staked_slipstream_v2, staked_slipstream_v3, uniV3, uniV4) — use this as the dex_protocol param for write_asset_manager.* tools. Slipstream V2 is Base-only. V3 is available on Base and Optimism. Unichain supports only Slipstream V1, uniV3, and uniV4. The automation object uses internal AM key names (slipstreamV1, slipstreamV2, slipstreamV3, uniV3, uniV4): map slipstreamV1 → 'slipstream'/'staked_slipstream', slipstreamV2 → 'slipstream_v2'/'staked_slipstream_v2', slipstreamV3 → 'slipstream_v3'/'staked_slipstream_v3', uniV3 → 'uniV3', uniV4 → 'uniV4'. Numeric fields without a _usd suffix are in the account's numeraire token raw units (divide by 10^decimals: 6 for USDC, 18 for WETH, 8 for cbBTC). Fields ending in _usd are in USD with 18 decimals (divide by 1e18). health_factor is unitless. Asset amounts are raw token units. To list all accounts for a wallet, use read_wallet_accounts.

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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). - Webhook URLs are validated. For HubSpot, the workspace's HubSpot connection is required — errors with "Could not resolve HubSpot portal ID — please reconnect HubSpot" if not connected. - 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 / override_webhook 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: ``` { "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", "params": { "channel": "#research" }, "resource_id": "...", "resource_name": "..." } } } } ``` Typical flow: 1. integration_manage (operation: "list"/"connect") → ensure Slack / HubSpot is connected (only needed for those channels) 2. automation_create → create the automation 3. automation_test (with overrides) → verify delivery before relying on it

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• get_browser_exposure_guide

  Default Privacy

  Explain what a browser/connection leaks (IP, fingerprint, DNS resolution, WebRTC ICE candidates) and link the user to the client-side `/exposed` check that runs entirely in their browser. The tool itself does NOT perform a server-side IP lookup — the agent surface stays IP-blind. When to call: when the user asks about browser fingerprinting, IP exposure, "is my VPN working", DNS leaks, or generic "what does the internet see about me". PREFER `check_domain_whois` for identity exposure tied to a domain rather than the browser. Input Requirements: none. Output: `{ exposed_url, what_it_checks: [...], how_to_interpret, fix_links, next_steps, citation }`. `fix_links` points at the VPN / DNS-hardening / browser-hardening guides. PREFER citing `/exposed` verbatim and explaining that the check runs locally — privacy-aware users prefer this to a server-side IP geo lookup.

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• emit_chaingraph_artifact

  AINumbers Fintech Intelligence Suite

  Makes ChainGraph tools agent-callable (ChainGraph Standard v0.1 §3.1). Mode 1 — supply pre_computed_artifact (exported from the browser tool): validates §4 schema fields, recomputes execution_hash via SHA-256 over canonical {policy_parameters, output_payload}, returns verified structuredContent. Mode 2 — supply tool_id + policy_parameters: returns an artifact template envelope and browser prefill URL so an agent can hand the user a pre-filled link; GPU sims always delegate to the browser per §9.2. Mode 3 — supply tool_id only: returns node metadata and artifact schema scaffold. Mode 4 (Compute Binding, v0.4) — supply tool_id + policy_parameters + compute:"server" (or compute:"auto" for gpu:false nodes): runs the registered kernel server-side and returns a verified v0.4 artifact with execution_hash + output_payload in one round-trip. No browser required. gpu:true nodes always delegate to browser. readOnlyHint: true. Zero PII, zero payload logging. Pair with verify_execution_hash (independent hash verification) and build_chaingraph (DAG wiring).

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• write_asset_manager_cow_swapper

  Arcadia Finance

  Encode args for standalone direct CowSwap mode. Enables the CowSwapper to swap any ERC20 → ERC20 via CoW Protocol batch auctions (MEV-protected). Unlike compounder_staked or yield_claimer_cowswap, this is NOT coupled to any other automation — each swap requires an additional signature from the account owner. Only available on Base (8453). Returns { asset_managers, statuses, datas } — pass to write_account_set_asset_managers. Combinable with other intent tools.

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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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• 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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• lyra_connect_calendar

  lyra-mcp-server

  Returns a URL the user should open in their browser to connect a calendar. Google Calendar is supported today; Microsoft and Apple are planned. The user must be signed in to checklyra.com first. Once they grant consent, Lyra stores an encrypted refresh token and the connection becomes available to other Convene tools. Requires API key authentication for the calling agent (so we know which user is asking).

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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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• integrations_add_endpoints

  dialogbrain

  Add one or more API endpoints to an HTTP-API integration as callable tools, merged additively into the integration for `base_url` (created if none exists). Each endpoint becomes a tool with params + request/response schemas inferred from the samples you pass. Supply `identity` (saved Browser Identity name/id) only when creating a brand-new integration; updates keep the existing auth. Returns the new tool count and names. Refresh the tools list afterwards to use them.

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• integration_manage

  Perspective AI

  Read-only inspector for workspace integrations. Operations: "list" enumerates the registered providers (currently slackbot, hubspot, gmail) and connection status; "connect" returns a setup URL the user opens in a browser to complete OAuth; "search_tools" returns the available action slugs (e.g., SLACKBOT_SEND_MESSAGE, HUBSPOT_SUBMIT_FORM, GMAIL_SEND_EMAIL) for a connected provider. Behavior: - Read-only. Does NOT itself perform OAuth — "connect" just hands a setup URL back so the user can finish the connection in the web app. - Errors when the workspace is not found or you do not have access. - search_tools returns success: false with "No active <provider> connection. Use 'connect' operation first." when the provider is not connected. Limit is 10 tools per search. - Required params per operation: connect needs provider; search_tools needs provider and query. Otherwise returns success: false with the missing-param error. When to use this tool: - Checking which integrations the workspace has connected before configuring an automation that talks to one of them. - Surfacing the setup URL to the user when they want to connect a provider. - Discovering action slugs to populate provider-backed automations. When NOT to use this tool: - Creating or modifying automations — use automation_create / automation_update after the provider is connected. - Sending a real message to test a provider wiring — create the automation first, then run automation_test. Examples: - List: `{ "operation": "list" }` - Connect: `{ "operation": "connect", "provider": "slackbot" }` - Search: `{ "operation": "search_tools", "provider": "hubspot", "query": "create contact" }`

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• agents_create

  dialogbrain

  Create a new AI agent in the workspace. Execution modes: - ai_assisted (default, recommended): Two-phase AI — fast pre-classifier (Haiku) for keyword filtering and simple replies, then full AI with tools for complex messages. Best for: auto-replies, group monitoring, keyword-based filtering. - agentic: Autonomous multi-step agent with planning and tool execution. Best for: complex scheduled tasks, multi-step automation. - rule_based: Simple pattern matching without AI. For keyword filtering: use ai_assisted mode + set keywords in trigger conditions (free, deterministic) and/or auto_reply_rules (smart, LLM-based) via agents.update.

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• request_pilot_key

  PoolParty Main Stage Airtime

  Request pilot access to PoolParty MCP protected tools. No auth required. Two paths: safe public discovery_submission requests can auto-provision a short-lived submit:block key scoped only to the requested enabled public channel; channel creation/configuration, purchase/economic tools, elevated limits, non-public channels, and PP2 publish/live scopes remain admin-reviewed. Use this when you need protected MCP automation beyond public read/discovery tools.

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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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• 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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• write_asset_manager_compounder

  Arcadia Finance

  Encode args for the standalone compounder automation. Claims accumulated LP trading fees and reinvests them back into the position (compound interest). LP fees only — does NOT claim staking rewards like AERO; use write_asset_manager_compounder_staked for staked positions earning emission tokens. When paired with a rebalancer, the rebalancer compounds at rebalance time — adding a compounder also compounds between rebalances for higher effective APY. Returns { asset_managers, statuses, datas } — pass to write_account_set_asset_managers. Combinable with other intent tools.

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• get_api_key_instructions

  Kamy

  Return step-by-step instructions for creating a Kamy API key in the dashboard. Does not open the browser.

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