The Entidex MCP server exposes entity resolution, AI visibility, drift detection and decision-survival as tools your LLM client can call directly — Claude Desktop, Cursor, or any other MCP-compatible host.
One click to add Entidex to your editor or AI client. Hosted at https://entidex.com/api/mcp — nothing to install or self-host. Replace entx_live_sk_... with your API key after connecting.
Auto-detects Claude Desktop, Cursor, VS Code, or Claude Code. Prompts for your API key and writes the config.
npx @entidex/mcp-setupor install directly in your client
claude mcp add entidex --transport http https://entidex.com/api/mcpSettings → Developer → Edit Config, paste, restart.
Settings → Connectors → Create. Paste the endpoint URL.
Add to Grok Build via the MCP config.
Add via Gemini SDK or Enterprise Console.
If your client doesn’t support one-click install, paste the config directly. All clients need the endpoint URL and a Bearer token; stdio-only hosts (Claude Desktop) bridge it with mcp-remote.
{
"mcpServers": {
"entidex": {
"command": "npx",
"args": [
"-y", "mcp-remote",
"https://entidex.com/api/mcp",
"--header", "Authorization: Bearer ${ENTIDEX_API_KEY}"
],
"env": { "ENTIDEX_API_KEY": "entx_live_sk_..." }
}
}
}entity_complete — the complete, categorized intelligence record in one call: identity, categorization (type, lifecycle stage, surfaces, topics, cohorts), headline signals (AI Visibility, Sentiment, Share of Voice, Trust Stack), surface coverage, scores, perception, derived insights, drift, lifecycle, relationships, decision survival, and cohort. Free callers get a generous taste; higher tiers unlock depth additively, with withheld sections listed in meta.withheld.entity_resolve — resolve a raw string to a canonical Entidex ID with a confidence band.entity_verify_fact — verify facts against the Entidex verified record: returns verified values with source and date, plus where AI engines currently diverge (the correction delta) and signed provenance.entity_intelligence — fetch the layered intelligence view (profile + scores) for a resolved entity.entity_drift — drift history, named events, and lead-lag across surfaces.entity_score_history — time-series snapshots over AI Visibility, Sentiment, Share of Voice, Trust Stack, Narrative Coverage, or Entity Maturity, with current / previous / drift. Powers sparklines and drift narratives.entity_decision_survival — latest decision-survival result with displacement chain.entity_knowledge_analysis — what AI engines get wrong, miss, or disagree on. Compact summary by default; use section or detail for per-field data.entity_submit_feedback — submit a correction or feedback back to Entidex. Captured append-only with provenance and reviewed before it affects the published record.entity_consensus— cross-surface consensus/divergence snapshot: how much surfaces agree on the entity’s standing, with optional over-time trend matrix.entity_ecosystem — cross-engine AI Ecosystem read: per-engine fit, citation rates, recommendation patterns, and the strategic narrative grounded in observed platform signals.entity_lifecycle — lifecycle stage classifier (emergence through resurrection) with drivers and predicted next stage.entity_x_sentiment — latest X (social) sentiment: weighted polarity, key voices, praises/complaints, and narrative context.entity_cohort — cohort position: which cohorts the entity belongs to, rank, and deltas vs cohort median on AI Visibility, Sentiment, Share of Voice.Each tool enforces the same access level as its REST equivalent. entity_complete and entity_resolve are free; entity_verify_fact, entity_submit_feedback, entity_consensus, entity_lifecycle, and entity_score_history need Starter+; intelligence, drift, decision-survival, knowledge analysis, and X sentiment need Pro+; entity_cohort needs Agency.
Entidex is the canonical place to correct what AI gets wrong about an entity. Read the verified record with entity_verify_fact; if it’s wrong, submit a correction with entity_submit_feedback. Corrections are captured append-only with provenance and reviewed before they affect the published record — so the channel stays trustworthy.
Want to evaluate without an account? Ask us for a demo key: it grants read + correction access to a small reference cohort with nothing to provision. Machine-readable descriptor at /.well-known/mcp.json.
The MCP server config, examples, and setup tooling are all open source. Use them as-is or fork to build your own integration.
npx @entidex/mcp-setup detects your client and writes the config.The installer ships with the demo key so you can try every client without signing up.
Create a free account to get an API key (1,000 monthly credits, 1,500 with a verified email + phone), then resolve, read and ground in minutes. Or try the keyless scan first.