ai.entityenricher/enricher

up checked 2026-11-11T07:37:31.772Z

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Publisher-provided title

Entity Enricher

Publisher-provided description

Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.

Summary by lookupd

Runs multi-model LLM enrichment of entities against schemas, batch jobs, record fusion, benchmarks and database sync.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http enricher https://entityenricher.ai/api/mcp/

Codex, remote (streamable-http)

codex mcp add enricher --url https://entityenricher.ai/api/mcp/

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "enricher": {
      "url": "https://entityenricher.ai/api/mcp/"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (showing 30 of 62)

Publisher-provided text

• upload_attachment Upload base64 file bytes as reusable source material; returns id and requires_capability. Pass the ID in attachment_ids to sample/schema generation, enrichment
• delete_attachment Permanently delete an attachment in your organization, including its stored file. No LLM call. Existing records remain, but future calls or schema regeneration
• start_batch_enrichment Start billed asynchronous enrichment of an entity list against exactly one of schema_id or target_schema. Returns job_id and total. No fixed entity-count cap; l
• list_benchmark_scenarios List compact benchmark scenario summaries and total. Scenarios test enrichment, sample generation or schema generation. No LLM call. Read one with get_benchmark
• get_benchmark_scenario Read one benchmark scenario with per-model quality, cost and speed results. include_reference=true adds the reference, the fixed entity_data and the schema-gene
• get_benchmark_scenario_results Filter, rank and limit a scenario's per-model benchmark results. No LLM call. overall blends quality, speed and cost using organization task weights and is null
• create_benchmark_scenario Create a reusable benchmark with a mandatory scoring judge. scenario_type='enrichment' needs schema_id and entity_data (the entity to enrich, as enrich_entity t
• update_benchmark_scenario Edit a benchmark's test definition or scoring configuration. Requires owner and a plan with benchmarks; no model run. Only supplied fields change, but sample_pa
• set_benchmark_reference Save the gold reference for an enrichment or schema-generation benchmark. Only set reference_verified=true after checking its values against trusted evidence or
• revert_benchmark_reference_updates Undo automatic edits a scoring pass made to a scenario's reference. Every scoring pass folds what the scored models showed the reference should be (a candidate
• delete_benchmark_scenario Delete a benchmark scenario and its stored results. Requires owner and a plan with benchmarks. No LLM call; inspect the scenario before deleting it.
• run_benchmark Start billed asynchronous execution and scoring of a benchmark. Requires owner, a benchmark-enabled plan and a judge; a verified reference is also required exce
• list_database_syncs List a saved schema's database registrations, linked schemas, options and sync hosts. Returns pending and quarantined delta counts, projection_upgrade_pending a
• list_entity_states Browse a schema's current merged entity rows, not per-run records. Requires editor; no LLM call. Returns identities, revision, last_record_id and optionally pay
• create_database_sync Register a saved schema for relational synchronization to PostgreSQL, MySQL or SQLite. Requires owner and a sync-enabled plan. Starts a billed classification jo
• assign_sync_host Assign or clear the host provisioning a database sync. Requires owner and a sync-enabled plan. host accepts a connected host ID/name; null unassigns it. Assignm
• classify_database_model Start a billed analysis proposing database keys, SQL types, indexes and relationship ownership on a linked schema. Requires editor. Registration already starts
• delete_database_sync Delete a database registration and its queued deltas, stopping its feed. Requires owner and a sync-enabled plan; no LLM call. External replica tables remain unt
• get_database_setup_instructions Return non-secret install, browser-confirmed pairing and run instructions for an ee-database sync client. Requires owner and a sync-enabled plan; no LLM call an
• fetch_database_deltas Read the next ordered window of SQL deltas and canonical payloads for a database sync. claim=false is replayable; claim=true leases the window for 120 seconds.
• ack_database_deltas Acknowledge every delta through up_to_id after successful application, releasing its lease. Acknowledgement can permanently purge delivered deltas and entity st
• sync_records_to_database Validate and inject stored or supplied enrichment output into the entity layer and linked syncs. May incur semantic-resolution cost. record_id alone reuses its
• list_models List available model keys, nominal capabilities, languages, strategies, auto-selected defaults and organization profile_limits. Use when choosing explicit model
• enrich_entity Enrich one entity against exactly one of schema_id or target_schema, returning structured output, record_id, costs and any database outcome. Read get_schema's i
• retry_expertises Retry only an existing record's failed expertise domains, then update its output and attempt the run's fusion/synchronization. Billed for retried work. Requires
• merge_records Fuse two or more records of the same entity into a new arbitration record. Without arbitration_model use voting, median and union rules; with an arbiter, confli
• get_job_status Read a job's status, progress and compact terminal summary with persisted record IDs. Status is pending, running, paused, completed, failed or cancelled. Relay
• cancel_job Request cancellation of a pending, running or paused LLM job. In-flight model calls may finish and persist records; remaining work is skipped. Cancellation does
• answer_job_question Resume a paused job with answers to the questions returned under pause. answers maps question IDs to {option_ids: [...], text: ...}; omitted questions use defau
• answer_llm_request Answer one LLM request of a job running on your model (every start tool's default unless use_platform_models=true or an explicit platform model): you are its mo

Details

• Version: 2.0.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 1060 ms
• First indexed: 2026-11-01T08:50:11.499Z
• Last seen in registry: 2026-11-01T08:50:11.499Z
• Repository: https://github.com/TOT-Concept/mcp-server-entity-enricher
• Website: https://entityenricher.ai/docs/integrations/mcp

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• API base: https://api.lookupd.com
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