Tool catalog

The MCP tools/list endpoint also exposes the full input schema for each of these. The list below is the canonical curated description.

Read-only

• gallery_search — Search configured galleries for installable models.
• list_installed_models — List models currently installed on this LocalAI. Optional capability filter (e.g. chat, embed, image).
• list_galleries — List configured model galleries.
• list_backends — List installed backends.
• list_known_backends — List backends available to install from configured backend galleries.
• get_job_status — Poll the status of an install/delete/upgrade job by id.
• get_model_config — Read the YAML/JSON config of an installed model.
• vram_estimate — Estimate VRAM use for a model under a given config.
• system_info — LocalAI version, paths, distributed flag, loaded models, installed backends.
• list_nodes — List federated worker nodes (only useful in distributed mode).
• list_scheduling — List distributed per-model scheduling configs.
• get_scheduling — Read the distributed scheduling config for one model.
• list_voice_profiles — List reusable voice-cloning profiles and their stable TTS voice URIs.
• get_branding — Read the resolved instance name, tagline, and branding asset URLs.
• get_usage_stats — Read token/request usage aggregates when usage tracking is enabled.
• get_pii_events — Inspect recent PII-filter events without returning redacted request bodies.
• get_middleware_status — Inspect middleware configuration and health.
• get_router_decisions — Inspect recent router decisions and classifier signals.
• get_router_corpus_stats — Inspect a KNN router corpus by count and label only; exemplar texts are never returned.
• list_aliases — List configured model aliases and their targets.

Mutating (require user confirmation per safety rule 1)

• install_model — Install a model from a gallery. Returns a job id; poll with get_job_status.
• import_model_uri — Install a model from an arbitrary URI (HuggingFace, OCI, http(s), file://). May return ambiguous_backend when several backends apply; call again with backend_preference to disambiguate.
• delete_model — Delete an installed model.
• install_backend — Install a backend.
• upgrade_backend — Upgrade an installed backend by name.
• edit_model_config — Patch (deep-merge) JSON into an installed model's config.
• reload_models — Reload all model configs from disk.
• load_model — Pre-load a model into memory so the first request pays no cold-start cost. For a realtime pipeline model, every sub-model (VAD, transcription, LLM, TTS, sound_detection, voice_recognition) is loaded. Inverse of stopping a model.
• toggle_model_state — Enable or disable a model (action: enable or disable).
• toggle_model_pinned — Pin or unpin a model (action: pin or unpin).
• set_branding — Change the instance name or tagline.
• set_alias — Create, update, or remove a model alias.
• seed_router_corpus — Add validated labelled exemplars to a KNN router corpus.
• clear_router_corpus — Permanently clear a KNN router corpus and its live index entries.
• create_voice_profile — Save a consent-confirmed base64 PCM-WAV reference and exact transcript for reuse in TTS.
• delete_voice_profile — Permanently delete a saved voice profile by UUID.
• set_node_vram_budget — Set or clear a federated node's VRAM budget override.
• set_scheduling — Create or update a distributed per-model scheduling config.
• delete_scheduling — Remove a distributed per-model scheduling config.