Clearcue Platform Help
Step 1 — Gather context
If references/learnings.md exists, read it first for accumulated platform knowledge.
Ask the user:
-
What do you need help with?
- A) Setting up signals (keyword + behavior monitoring)
- B) Signal stacking (combining multiple signals for intent scoring)
- C) Audiences (ICP definition and dynamic lists)
- D) Researcher (AI profile analysis and talking points)
- E) MCP integration with Claude or other AI assistants
- F) Webhooks / CRM integration / data export
- G) Comparing Clearcue vs alternatives
- H) Something else — describe it -
Which plan are you on?
- A) Starter (€79/mo annual / €99 monthly, 7 signals — webhooks + MCP included)
- B) Pro (€199/mo annual / €249 monthly, 25 signals — adds Company AI qualification)
- C) Scale (€439/mo annual / €549 monthly, 75 signals — adds native CRM integrations)
- D) Enterprise
- E) Free trial / evaluating
Skip-ahead rule: if the user's prompt already contains enough context, skip to Step 2.
Step 2 — Route or answer directly
If the request maps to a strategy skill, route:
- Social listening strategy or tool comparison → /sales-social-listening [question]
- Buyer intent strategy or signal prioritization → /sales-intent [question]
- Contact enrichment beyond Clearcue → /sales-enrich [question]
- CRM integration strategy → /sales-integration [question]
- Outbound cadence or sequences → /sales-cadence [question]
When routing, provide the exact command: "This is a {problem domain} question — run: /sales-{skill} {user's original question}"
Otherwise, answer directly using the platform reference.
Step 3 — Clearcue platform reference
Read references/platform-guide.md for the full platform reference — capabilities, pricing, data model, MCP setup, integration recipes, code examples.
Answer the user's question using only the relevant section. Don't dump the full reference.
Step 4 — Actionable guidance
Focus on the user's specific situation:
- Signal setup — design signal queries, configure AI qualification sensitivity, build signal stacks
- MCP workflows — connect to Claude Code, query signals, automate lead workflows
- Audience building — write natural language ICP descriptions, tune precision filters
- Integration — webhook setup, CRM sync patterns, HeyReach/Lemlist/Instantly pipelines
- Optimization — reduce false positives, maximize signal-to-noise ratio
If you discover a gotcha, workaround, or tip not covered in references/learnings.md, append it there.
Gotchas
Best-effort from research — review these, especially items about plan-gated features and integration gotchas that may be outdated.
- CRM integrations are Scale-only (€439/mo). HubSpot, Salesforce, and Pipedrive native connectors require the Scale plan. On Starter/Pro, use webhooks (any plan) or CSV export as workarounds.
- MCP is self-serve on all plans. Publicly available since Feb 12, 2026 — no support request needed. Get your MCP URL from Settings > Integrations > Clearcue MCP and paste it into Custom Connectors (OAuth), or use personal access token auth (added Apr 30, 2026 as an OAuth alternative).
- Webhooks are available on every plan, including Starter. Push-based programmatic data flow does not require an upgrade.
- Company AI qualification is Pro+ only. This is the main Starter→Pro upgrade trigger — Starter plan signals do keyword matching only without company-level AI filtering, which means more noise.
- Signal limits are per active signal, not per mention. 7 signals on Starter means 7 monitoring queries, not 7 results. Each signal can return unlimited leads.
- First signals take 24-48 hours. Don't expect instant results after setup — Clearcue needs time to scan and index.
- No public REST API. MCP is the only programmatic query interface. For push-based workflows, use webhooks (available on every plan).
- No Zapier/Make support. All automation runs through webhooks, MCP, or native integrations.
Related skills
/sales-social-listening— Social listening strategy — tool comparison, monitoring setup, sentiment, competitive intel, crisis detection/sales-intent— Buying intent signals and account prioritization/sales-octolens— Octolens — developer-first social listening, MCP server, REST API/sales-buska— Buska — AI social listening for lead gen, intent scoring, MCP server, REST API/sales-catchintent— CatchIntent — AI intent detection, MCP server, webhooks, CRM integrations/sales-communitytracker— CommunityTracker — community intelligence for GTM teams, intent scoring, REST API/sales-do— Not sure which skill to use? The router matches any sales objective to the right skill. Install:npx skills add sales-skills/sales --skill sales-do
Examples
Example 1: Set up signal stacking for competitor interest
User says: "I want to track prospects who engage with competitor content on LinkedIn AND are hiring for roles my product supports"
Skill does:
1. Reads platform guide for signal stacking setup
2. Explains AND/OR logic and Person vs Company mode
3. Walks through creating two signals (competitor engagement + hiring) and combining them
4. Recommends AI qualification sensitivity tuning to reduce noise
Result: Signal stack configured to surface high-intent prospects showing multiple buying indicators
Example 2: Connect Clearcue to Claude Code via MCP
User says: "How do I set up the MCP integration so I can query Clearcue signals from Claude?"
Skill does:
1. Reads platform guide for MCP setup steps
2. Explains personal access token authentication
3. Shows example queries: lead retrieval, cross-analysis, ICP matching
4. Suggests workflow: Clearcue signals → Claude Code analysis → outreach draft
Result: MCP connected and user can query intent signals from Claude
Example 3: Webhook pipeline to outreach tool
User says: "I want Clearcue signals to automatically feed into my Lemlist campaigns"
Skill does:
1. Notes webhooks are available on every plan (including Starter) — no upgrade needed
2. Reads platform guide for webhook setup
3. Designs pipeline: Clearcue webhook → middleware (Clay/n8n) → Lemlist
4. Notes that direct Lemlist integration may exist via native connectors
Result: Automated pipeline from intent signals to outreach sequences
Troubleshooting
Signals returning too many false positives
Symptom: Dashboard full of irrelevant leads that don't match your ICP
Cause: AI qualification sensitivity too low, or keyword-only matching on Starter plan
Solution: If on Pro+, enable Company AI qualification and increase sensitivity. Add negative keywords to exclude noise. Use signal stacking to require multiple indicators before surfacing a lead. Consider upgrading from Starter if keyword-only matching is too noisy.
MCP not connecting or returning empty results
Symptom: Claude Code can't reach Clearcue data or queries return nothing
Cause: MCP not enabled on account, or personal access token expired/misconfigured
Solution: Contact Clearcue support to verify MCP is enabled. Regenerate your personal access token and update Claude Code settings. Test with a simple query like "Show me recent signals from Clearcue." Verify you have active signals with results in the Clearcue dashboard first.
Webhook notifications not arriving
Symptom: Configured webhooks on Pro plan but endpoint never receives data
Cause: Wrong endpoint URL, firewall blocking, or signal has no new results
Solution: Verify your endpoint URL is publicly accessible and returns 200 on POST. Check Clearcue's webhook delivery logs (if available). Verify the signal is actively generating results in the dashboard. Test with a simpler endpoint (like webhook.site) to isolate the issue.
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