# SignalShelf Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## SignalShelf

Look up public social profiles, posts, reviews and ad library data across major platforms.

- Record: https://musedirectory.ai/connector/signalshelf
- Category: Marketing & Ads
- Developer: SignalShelf (https://signalshelf.dev/docs/mcp)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 414ms, checked 2026-11-09T07:11:21Z
- Endpoint: https://signalshelf.dev/mcp
- Auth: Needs an access key; Pricing: unknown
- Screening: Screened, no issues found (2026-11-09T07:11:21Z)
- Source: Found in the official MCP Registry (dev.signalshelf/signalshelf) https://registry.modelcontextprotocol.io/v0/servers?search=dev.signalshelf%2Fsignalshelf

Connects to a paid API that returns public data from TikTok, Instagram, YouTube, X, Facebook, LinkedIn, Reddit, Google Maps, app stores, Amazon, Trustpilot and ad libraries. Muse can pull profiles, posts, comments, reviews and ad listings, with demo mode and per-lookup credit costs.

Example request: "Check the public TikTok and Instagram profiles of three competitor brands and summarize their recent posts."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use SignalShelf to help me. It is a free service with an MCP server at https://signalshelf.dev/mcp. It needs an API key from SignalShelf; ask me to enter it through your secure credential prompt. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- signalshelf_profile: Return a normalized public profile and cache/cost metadata. Default demo mode is illustrative and free. Explicit live mode charges one credit only for a successful fresh fetch; accepted cache hits and failures cost zero. Public-page engines can be blocked or incomplete.
- signalshelf_batch: Validate all profile inputs before fetching any. Returns per-item successes/errors. Each successful fresh live item costs one credit; demos/cache hits/failures cost zero. Maximum ten items, processed sequentially.
- signalshelf_resource: Fetch any implemented public resource found with signalshelf_capabilities — TikTok, Instagram, Threads, Facebook, X, LinkedIn, YouTube, Reddit, Pinterest, Spotify, Google Maps/Search/News, app stores, Amazon, Trustpilot, ad libraries and more (platform "web", resource = op key li
- signalshelf_capabilities: Search SignalShelf operations (~250 across TikTok, Instagram, Facebook, X, LinkedIn, YouTube, Google Maps, reviews, ad libraries…). Pass query and/or platform to get matching operations with full parameter schemas and credit prices; with no filters returns a compact index. No sou
- signalshelf_credits: Read the authenticated account’s current database balance. Zero credits. No other account details or API keys are returned.
- signalshelf_usage: Read up to 100 recent lookup events belonging to the authenticated account, without source payloads, account IDs, or secrets. Zero credits.

Screening checks:
- MCP handshake: pass (Answered in 414ms)
- Domain against threat feeds (Cloudflare security DNS): pass (signalshelf.dev not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (6 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (scrapes public social and map pages; credit-based paid lookups)