Overview
SignalArk exposes a Model Context Protocol (MCP) server that lets AI assistants like Claude, ChatGPT, and Cursor query your signal intelligence directly. Instead of switching between your AI client and the SignalArk dashboard, you can ask questions like “Which accounts should I focus on today?” and get evidence-backed answers sourced from your own signal data.MCP access is available on the Pro tier. Generate your MCP token in Settings → Integrations → MCP Server.
What You Can Do
Account Prioritization
Ask “Which accounts are moving now?” and get ranked accounts with ICP scores, signal counts, and active plays.
Signal Search
Search your market radar signals by keyword, category, confidence threshold, or date range.
Outreach Drafts
Generate personalized outreach messages grounded in real signal evidence. Drafts only — never auto-sends.
Content Ideas
Get signal-derived LinkedIn content opportunities and generate drafts from your strongest market signals.
Setup
1. Generate an MCP Token
- Go to Settings → Integrations → MCP Server
- Click Generate MCP Token
- Copy the token — it starts with
sak_
mcp:read and mcp:draft permissions. Keep it secret — it grants read access to your workspace signal data.
2. Configure Your AI Client
- Claude Desktop
- Cursor
- Generic (HTTP)
Add to your Restart Claude Desktop. You’ll see SignalArk tools available in the tool picker.
claude_desktop_config.json:Available Tools
Read Tools (free, no credits)
Draft Tools (credit-metered)
Example Workflows
Daily Account Prioritization
Competitor Displacement
Content from Signals
Permissions and Safety
- Workspace-scoped only — the token only accesses your workspace data
- No cross-workspace reads — workspaceId is always resolved from the token, never accepted as input
- No auto-send — draft tools return text for your review, nothing is sent automatically
- No CRM mutations — write operations are not available in V1
- Audit logging — every tool call is logged in Settings → Security → Audit Trail
Usage Log
Monitor your MCP usage in Settings → Integrations → MCP Server → Usage Log. The log shows:- Timestamp, tool name, status
- Credits consumed
- Response time
- Client identifier