"Confluence" matching MCP tools:

• integration_manageA

  Perspective AIA

  Read-only inspector for workspace integrations. Operations: "list" enumerates the registered providers (currently slackbot, hubspot, gmail, googledocs, notion, confluence, salesforce, prodege) and connection status; "connect" returns a setup URL the user opens in a browser to complete OAuth, or, for providers connected with customer-issued keys (prodege), a page where the user pastes those keys; "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. - Never ask the user for API keys or secrets in chat — they are only ever entered on the setup_url page. Share the link and ask the user to reply "Done" once saved. - 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. MCP schema validation rejects missing or unrelated operation arguments before execution; the handler retains equivalent errors for non-MCP callers. 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" }`

  ConnectorOAuth

• automation_createA

  Perspective AIA

  Creates an automation on a perspective. Triggers: per_interview (fires on every completed conversation) or scheduled (daily/weekly, with digest, invite, or insights purpose). Actions: internal insight discovery, webhook, email, or connected provider-backed integrations such as Slack, HubSpot, Gmail, Google Docs, Notion, and Confluence. Execution modes: direct (fast, deterministic, webhook-only) or agent (LLM-powered, required for insights and delivery channels). 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. - Insight automations use kind "insights", execution_mode "agent", omit channel, and use scheduled purpose "insights" when scheduled. - 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). - Running scheduled insight automation which creates insights without external delivery. 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

  ConnectorOAuth

• openmeteo_get_floodA

  open-meteo-mcp-serverA

  GloFAS (Global Flood Awareness System) river discharge forecast and historical reanalysis. Returns daily ensemble river discharge (m³/s) for the largest modeled river within 5 km of the given coordinates — no river ID needed. That river is not always the closest one: at 5 km resolution a point near a confluence or a pair of parallel channels can resolve to an unintended reach. When the returned discharge looks unrepresentative for the intended river, Open-Meteo suggests varying the coordinate by about 0.1° and comparing the values. Forecast horizon up to 210 days ahead; reanalysis history back to 1984-01-01. One mode per call: forecast_days for the future outlook, or start_date and end_date together for reanalysis history. The two modes are mutually exclusive, and a date range needs both ends — a lone start_date or end_date is rejected. Available daily variables: "river_discharge" (ensemble mean), "river_discharge_mean", "river_discharge_min", "river_discharge_max", "river_discharge_median", "river_discharge_p25" (25th percentile), "river_discharge_p75" (75th percentile). Returns null for coordinates far from any river or in areas without GloFAS coverage. A wide reanalysis range produces thousands of daily records and spills to a DataCanvas when canvas is enabled, returning canvas_id and table_name with truncated: true — inspect the staged columns with openmeteo_dataframe_describe, then query the full set with openmeteo_dataframe_query. With canvas disabled it returns a bounded preview instead.

  ConnectorNo auth

• query_knowledgeA

  mcp-serverA

  Search the company's connected knowledge across every source — Drive, SharePoint, Confluence, Slack, Notion — with cited synthesized answers, lifecycle awareness, and refusal-on-weak-context. Returns a written answer with [n] citations plus the ranked source chunks. Modes: `fast` (1,500 kT — retrieval-only, no synthesis), `standard` (12,500 kT — default; synthesized answer over the top retrieval set), `deep` (25,000 kT — wider retrieval + premium synthesis for complex questions). Pick the cheapest tier that answers the question. Responses are capped at 25,000 output tokens per Claude Connectors policy; if truncated, structured metadata carries `truncated: true` and `query_id` so the agent can call `get_source_detail` for full provenance.

  ConnectorNo auth

• get_cycle_model_readingA

  SatoshiMacro Market DataA

  Current SatoshiMacro Model (SMM) score for Bitcoin or Ethereum: a 0-100 market-cycle confluence score built from weighted percentile-ranked signals in six tiers (cycle timing, valuation, sentiment, rotation, miner, macro; Bitcoin uses 48 signals, Ethereum fewer). Returns the zone (Deep Value, Accumulation, Neutral, Caution, Distribution, Cycle Top), 7- and 30-day change, the six tier scores and 30 days of daily history. Use this when the user asks where Bitcoin or Ethereum sits in its market cycle, how the cycle score has moved recently, or which tier is driving it; use get_market_snapshot instead for a one-line overview of everything. Daily reading, refreshed twice a day (about 07:30 and 13:30 Sydney time); the date field is the last completed day. Descriptive data, not a price forecast or trading signal.

  ConnectorNo auth

• hyperliquid_smart_moneyA

  solenrichB

  Where Hyperliquid smart money is positioned. Filters the HL leaderboard to consistent directional traders (excludes market-makers + dust), then aggregates their live positions into a per-coin consensus (long/short counts, net notional, bias, conviction) plus a top-trader drill-down. Optionally focus one coin via `market`. A positioning signal, not a trade — use as confluence/risk context, not a standalone entry.

  ConnectorNo auth

• golden_alerts_snapshotA

  whale-insightsA

  Golden Alerts snapshot — latest market intelligence alerts (public, MCP-compatible) — Returns the latest snapshot of CryptoWhaleInsights Golden Alerts — up to 27 high-signal market alerts refreshed every 5 minutes by the platform's cron job. Each alert represents a confluence of whale on-chain activity, volume momentum, and Fear & Greed context. This endpoint reads directly from the in-process cache (no new AI query triggered per request). Pro-only fields (raw confidence score, internal factors, price targets, exit signals) are intentionally omitted; severity is mapped to low/medium/high for public consumption. Alert types: accumulation | fear_buy | smart_money_loading | volume_breakout | whale_convergence. Severity mapping: high (confidence ≥70%), medium (45–69%), low (<45%). Response: { alerts[], total, refreshedAt (ISO-8601 or null if cache empty), updatedAt }. Each alert: id, title, type, severity, tokens (string[]), chains (string[]), summary, aiInsight, analystId (string | null), createdAt. No authentic

  ConnectorNo auth

• analyst_daily_summaryA

  whale-insightsA

  Get today's AI-generated commentary for all 10 analysts — 2-sentence summaries with signal count, confluence score, BTC trend (generated 9:00 UTC) — Returns today's AI-generated daily commentary for all 10 analyst personas. Summaries are generated each morning at 9:00 UTC using gpt-4o-mini based on the previous 24h of signals, Fear & Greed score, BTC trend, and cross-analyst confluence. Public endpoint — no authentication required. Only shortSummary is returned (2 sentences). Full commentary is available via the authenticated Pro endpoint /api/analysts/:id/daily-summary. Fields per analyst: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, signalCount (signals in the past 24h), confluenceScore (0-100: % of other analysts with overlapping tokens in last 2h), fearGreedScore (0-100), btcTrend ('up'|'down'|'sideways'|null). Cached 30 minutes. Returns empty summaries array before 9:00 UTC on any given day. 60 req/min rate limit.

  ConnectorNo auth

• get_launch_ta_confluenceA

  newsgurus-intelB

  [$0.05 per call] News Gurus Intel API — VWAP/Bollinger/RSI/MACD confluence read on a fresh memecoin launch computed over GeckoTerminal OHLCV (public/keyless). Token = mint address or symbol. Optional ?chain= (default solana; solana/base/bsc/ethereum). Returns NG-derived bias/score/factors verdict only — raw candles are not redistributed. Educational data, not financial advice. HOW TO PAY: an x402-capable client settles the payment challenge automatically (USDC on Base, no account needed); wallet-less clients pass a subscriber API key instead (Authorization: Bearer <key>, X-API-Key header, or ?api_key= query) for calls within their plan. Browse every tool + price first with the FREE get_catalog tool.

  ConnectorNo auth

• sr_detect_levelsA

  Crank ProtocolB

  Multi-timeframe support/resistance zones + liquidity bands (read-only). Detects S/R zones per timeframe from recent OHLCV (swing highs/lows, floor pivots, Fibonacci retracement, volume-profile clusters, optional manual levels), merges them across timeframes with a confluence multiplier, and weights zone strength by overlapping candle-volume liquidity-band depth. asset is a token mint; timeframes default ["1h","4h","1d"]; lookback candles per timeframe (capped at 500); sources subset of swing / pivot / fibonacci / volume_profile / price_impact / manual; sensitivity 0-1 (higher = more zones); zone_width_bps sets the band half-width; manual_levels adds caller-supplied override prices. Returns zones (supports / resistances / pivots with price, band, strength, touches, sources, timeframes) plus liquidity_bands. Computed reference levels only -- not financial advice, not a trade instruction (DYOR). No wallet, no fee, no on-chain action. Workflow: INTELLIGENCE step -- the level picture behind sr_backtest + sr_configure_strategy; pair with get_indicators + detect_regime. See get_trading_workflow.

  ConnectorNo auth

• run_analysisA

  clariBI.comA

  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).

  ConnectorNo auth

• get_indicatorsA

  mcpA

  [DRILL-DOWN] Technical indicators for a coin (e.g. 'BTC', 'ETH', 'SOL', 'XRP'): RSI(14), MACD, SMA/EMA (20/50/200 + 200-week), Stochastic, and FIBONACCI retracement levels (90-day swing). Returns daily + weekly timeframes plus a plain-language read. Same data as REST /indicators/{coin}. Use for momentum + Fib confluence with get_levels.

  ConnectorNo auth

• request_oauth_integration_urlA

  clariBI.comA

  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.

  ConnectorNo auth

• create_confluence_pageA

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

  Create a new Confluence page from the output of jira_to_test_suite. Formats Gherkin, E2E steps, API tests, and test data as a properly structured Confluence page with code blocks and tables. STATEFUL — creates a new page in the specified space.

  ConnectorNo auth

• fetch_confluence_pageA

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

  Fetch a Confluence page and return its content as clean Markdown. Accepts a numeric page_id or a full page URL. Optionally lists direct child pages. BYOK — credentials transit in-memory only, never stored.

  ConnectorNo auth

• get_indicatorsA

  n0brainsA

  [DRILL-DOWN] Technical indicators for a coin (e.g. 'BTC', 'ETH', 'SOL', 'XRP'): RSI(14), MACD, SMA/EMA (20/50/200 + 200-week), Stochastic, and FIBONACCI retracement levels (90-day swing). Returns daily + weekly timeframes plus a plain-language read. Same data as REST /indicators/{coin}. Use for momentum + Fib confluence with get_levels.

  ConnectorNo auth

• get_market_structureA

  RiskState — Crypto Risk EngineA

  Market Structure Engine view for BTC or ETH: validated structural events firing now (breakouts, breakdowns, cycle bottom/top, funding resets), expected asymmetry, distance to the next bullish/bearish triggers, key structural levels (ATH, 200W MA, 180d range) and a friction map of confluence-scored support/resistance walls between spot and the triggers. Use for questions about levels, support/resistance, breakouts or what would change the picture.

  ConnectorNo auth

• get_confluence_methodologyA

  13FLOWA

  Return the frozen Confluence v1 methodology contract, including proof boundary and validation requirements.

  ConnectorNo auth

• maatsii_get_conceptA

  MaatsiiA

  Explain a Maatsii concept in a few sentences: rail parity, fan confluence, EQ centerline, strength tiers, catalog direction, playbook fields, setup hint only, vision features, VRVP not VWAP, MTF alignment, invalidation logic, tick structure, chart freshness, fetch gate. Unknown concepts return the list of known ones.

  ConnectorNo auth

• get_apex_signalsA

  newsgurus-intelB

  [$0.05 per call] News Gurus Intel API — APEX v10.2 confluence signals: symbol, long/short, score 0-5, entry, timeframe, momentum_surge. Example: BTC-USD long, score 4.0, entry 118250, 1H, momentum_surge 1. Five-source confluence (CLV, VSA, flow, CVDD, pivots) computed by the bot's live engine on crypto and equities; ?symbol= filter, ?limit= up to 50, newest first. Proprietary computation, no vendor passthrough. Educational data, not financial advice. HOW TO PAY: an x402-capable client settles the payment challenge automatically (USDC on Base, no account needed); wallet-less clients pass a subscriber API key instead (Authorization: Bearer <key>, X-API-Key header, or ?api_key= query) for calls within their plan. Browse every tool + price first with the FREE get_catalog tool.

  ConnectorNo auth

• get_signal_historyA

  13FLOWA

  Read append-only Confluence signal revisions for audit and replay.

  ConnectorNo auth