smithery Safe content atomic mcp-remote

Share of Model

Track how often AI models mention and recommend your brand. Probe GPT-4o, Claude, Gemini, and Perplexity to measure your Share of Model - mention rate, position quality, and competitive ranking. Essential for any brand in the era where AI agents influence purchasing decisions. **4 tools:** - `generate_som_report` - full analysis in one call - `probe_ai_models` - raw probe data across models - `compare_competitors` - head-to-head leaderboard - `calculate_share_of_model` - pure metrics from probe data **BYOK** - bring your own API keys. Only pay for what you probe.

Cognium trust score

30%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-08-24.

Scan details: Circle-IR · 2026-08-24 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: Smithery
Author type: human
Last scanned: 2026-08-24
Updated: 2026-08-24

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MCP

Resolve Share of Model from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"