OmniSignal MCP Server

Live market intelligence and AI content strategy for your brand — straight into your AI assistant.

OmniSignal turns your brand profile into a data-driven social content operation: it collects fresh data from your niche (competitors, trends, audience), generates a multi-week content calendar, and surfaces daily signals (trends, competitor moves, opportunities). The entire backend is exposed as a remote MCP (Model Context Protocol) server — 38 tools your agent can call natively from Claude Code, Claude Desktop, Cursor, or any MCP-compatible client.

ChatGPT and Claude are trained on stale snapshots. Same model, same prompt — the only difference is whether your agent can see this week.

Server details

Related MCP server: social-neuron

Quickstart

1. Get an API key

Sign up at app.omnisignal.ai → Profile → MCP / API access → create a key (omni_sk_..., shown once). Keys carry read + generate scopes, up to 10 active keys, revocable anytime. New accounts get 50 free starter credits.

2. Connect your client

Claude Code (CLI):

claude mcp add --transport http omnisignal \
  https://mcp.omnisignal.ai/mcp \
  --header "Authorization: Bearer omni_sk_YOUR_KEY_HERE"

Claude Code (plugin, from this repo):

/plugin marketplace add omnisignal-ai/omnisignal-mcp
/plugin install omnisignal@omnisignal

Then set the OMNISIGNAL_API_KEY environment variable to your key — the plugin wires the header for you.

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "omnisignal": {
      "type": "streamable-http",
      "url": "https://mcp.omnisignal.ai/mcp",
      "headers": { "Authorization": "Bearer omni_sk_YOUR_KEY_HERE" }
    }
  }
}

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "omnisignal": {
      "type": "streamable-http",
      "url": "https://mcp.omnisignal.ai/mcp",
      "headers": { "Authorization": "Bearer omni_sk_YOUR_KEY_HERE" }
    }
  }
}

Any MCP client: POST to the server URL with header Authorization: Bearer omni_sk_YOUR_KEY_HERE and Accept: application/json, text/event-stream.

3. Let the agent onboard you

Say: "Set up my OmniSignal workspace." The server ships with a built-in onboarding playbook — the agent checks readiness, collects your brand profile conversationally, analyzes your website, and kicks off your first strategy generation.

What you can do with it

• Monday market brief — "What's moving in my market this week?" → fresh scan + a sourced brief of trends, competitor moves, and opportunities.

• Battlecards / competitive response — sourced gap analysis of what a competitor covers that you don't, with immediate actions.

• Weekly planning — walk this week's content calendar, playbooks included; A/B hook variants; mark posts published.

• Export anywhere — the calendar as CSV / ICS / JSON into Notion, Google Calendar, or a scheduler.

• Deep data pulls — fresh LinkedIn / Twitter / Instagram posts on any query when the agent needs raw material.

Tool overview (38 tools)

Free tools are always free; paid tools require the generate scope and credits. Agents are instructed (via the server's built-in instructions) to check credits_get_pricing / credits_get_balance before running paid calls.

Design notes: async jobs (strategy_generate, signals_scan) return a job id to poll and auto-refund on failure; responses are chunked for LLM context (signal windows of 10, calendar day-by-day with a week bulk discount); paid mutations are idempotent; per-user daily spend cap.

Pricing

1 credit = $0.15, metered to Stripe on every paid call.

• 50 free starter credits on the free/PAYG tier.

• Monthly packages never hard-stop: overage auto-bills in round-up blocks at the package rate.

• Any MCP package also unlocks the full OmniSignal dashboard on the same account.

Links

• Product site: omnisignal.ai

• Dashboard: app.omnisignal.ai

• Live MCP docs: /mcp/docs

• This repo also contains server.json (Official MCP Registry manifest) and a Claude Code plugin marketplace manifest (.claude-plugin/marketplace.json).

License

MIT — see LICENSE. The hosted OmniSignal service itself is commercial; this repo contains listing metadata and documentation only.