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OmniSignal logo
Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 10:59:54 PM

OmniSignal

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website

Live market intelligence & AI content strategy: trends, competitor moves, content calendar.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "omnisignal": {
      "command": "npx",
      "args": [
        "-y",
        "omnisignal"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

OmniSignal MCP Server

omnisignal-mcp MCP server

Live market intelligence and AI content strategy for your brand β€” 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 β€” 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 β€” the only difference is whether your agent can see this week.

Server details

TransportStreamable HTTP (single endpoint, stateless)
Server URLhttps://mcp.omnisignal.ai/mcp
AuthAuthorization: Bearer omni_sk_... (API key from the dashboard)
Tools38 (onboarding, strategy, signals, calendar, data, credits)
DocsLive API docs Β· Markdown for agents
Websiteomnisignal.ai

Quickstart

1. Get an API key

Sign up at app.omnisignal.ai β†’ Profile β†’ MCP / API access β†’ 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):

Terminal
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):

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

Then set the OMNISIGNAL_API_KEY environment variable to your key β€” the plugin wires the header for you.

Claude Desktop (claude_desktop_config.json):

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):

config.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 β€” 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 β€” "What's moving in my market this week?" β†’ fresh scan + a sourced brief of trends, competitor moves, and opportunities.
  • Battlecards / competitive response β€” sourced gap analysis of what a competitor covers that you don't, with immediate actions.
  • Weekly planning β€” walk this week's content calendar, playbooks included; A/B hook variants; mark posts published.
  • Export anywhere β€” the calendar as CSV / ICS / JSON into Notion, Google Calendar, or a scheduler.
  • Deep data pulls β€” 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.

GroupToolsPrice
Onboardingonboarding_get_readiness, onboarding_update_profile, onboarding_update_goals, onboarding_update_social_handles, onboarding_update_brand_voice, onboarding_update_content, onboarding_connect_platform, onboarding_analyze_websiteFree
Profile & strategy readsprofile_get, strategy_get_latest, strategy_list, strategy_get_status, strategy_get_swot, strategy_get_themesFree
Strategy generationstrategy_generate (async), strategy_analyze_post_idea, strategy_competitor_gap150 / 8 / 12 cr
Signalssignals_scan (async) + signals_scan_status (free), signals_list, signals_generate, signals_dismiss, signals_snooze, sources_list (free), sources_discover25 cr scan, 5 cr/list window, 10 cr generate/discover
Calendarcalendar_get_day, calendar_get_week, calendar_get_upcoming (free), calendar_get_post, calendar_search_posts, calendar_update_post (free), calendar_create_variants, calendar_export5 cr day / 15 cr week / 3 cr post / 3 cr search / 8 cr variants / 5 cr export
Datadata_summary (free), data_collect, data_points_list2–10 cr
Credits metacredits_get_balance, credits_get_pricingFree

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.

PackagePrice/moCreditsEffective $/cr
Starter$25250$0.10
Creator$49550$0.089
Pro$991,200$0.083
Team$1992,600$0.077
PAYGβ€”$0.15/cr, billed daily in arrears$0.15
  • 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 β€” see LICENSE. The hosted OmniSignal service itself is commercial; this repo contains listing metadata and documentation only.

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Frequently Asked Questions about OmniSignal

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "omnisignal": { "command": "npx", "args": ["-y", "OmniSignal"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit5d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 5, 2026
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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