Algenta

{
  "id": "aix_04241fc78b",
  "name": "Algenta",
  "operator": "(unclaimed - source: pulsemcp · publisher: www.pulsemcp.com)",
  "description": "Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-27",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "api-integration",
    "browser-automation",
    "cache-store",
    "github-ops",
    "inventory-check",
    "invoice-parsing",
    "media-catalog",
    "sql-database"
  ],
  "protocols": {
    "mcp": "https://api.algenta.ai/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 2115,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 47,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-27T21:00:55.429Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/algenta"
    },
    {
      "label": "listing",
      "url": "https://algenta.ai/"
    }
  ],
  "unreachable": false,
  "profile": {
    "mcp_server": "algenta-mcp",
    "mcp_version": "1.0.31",
    "tool_count": 140,
    "tools": [
      {
        "name": "onboard_dataset",
        "description": "Register a dataset for semantic querying. Pass column names, inline records, or raw CSV. The engine profiles roles automatically and starts background training. Queries work immediately via a fallback model — accuracy improves once schema-specific training completes (poll status with list_datasets). Registration persists the dataset under the active API key's organization. Use connect_data for live connections instead of inline rows. Returns dataset_id, schema_hash, status, model_tier, column_count, and suggested_aliases."
      },
      {
        "name": "list_datasets",
        "description": "List registered datasets and their current model tier. Use search plus compact mode for low-token discovery, then poll status or use the primary data tools once you choose a dataset. Read-only and non-destructive; lists only the active API key's organization and is not separately rate-limited. Returns the datasets array with dataset_id, name, status, model_tier, source_names, column_count, and registered_at, plus count, total, page, limit, and pages."
      },
      {
        "name": "get_dataset_status",
        "description": "Get the live training status and model tier of one dataset: whether semantic training is still running or the dataset is ready, and which model serves queries — model_tier 'none' = deterministic fallback only, 'base' = generic model, 'schema' = fully trained schema-specific model (best quality). Poll this after onboard_dataset until training completes, and use retrain_dataset after schema or alias changes. Read-only; an unknown dataset_id fails with not_found. Also returns name, column_count, source_names, and updated_at."
      },
      {
        "name": "retrain_dataset",
        "description": "Re-trigger background semantic training for one dataset and return immediately with status and a confirmation message — the build runs asynchronously, so poll get_dataset_status until model_tier reaches 'schema'. Use after schema changes, alias updates, or to force a fresh model build. epochs (default 80, range 5-500) controls training length. An unknown dataset_id fails with not_found; a dataset whose training backend is unavailable fails with semantic_training_unavailable."
      },
      {
        "name": "connect_data",
        "description": "High-level data onboarding flow. Use this instead of advanced connector/source tools for normal users. Connect data once, pick the table/file/endpoint, and get a reusable dataset_id. If the result status is needs_selection, call connect_data again with connection_id and the chosen selection. Creating a connection persists it and the dataset under the active API key's organization, and live sources are dialed during this call; no separate per-route rate limit applies. Returns status with dataset_id and connection_id on success, or status needs_selection with the choices array to pick from."
      },
      {
        "name": "list_data",
        "description": "List visible datasets for the current user. Use search plus compact mode first for low-token dataset discovery, then get_data_schema on the chosen dataset_id. Read-only and non-destructive; lists only the active API key's organization and is not separately rate-limited. Returns the datasets array (dataset_id, name, status, source_names, connection_type, row_count, column_count, refreshable) plus count, total, matched_total, page, limit, and pages."
      },
      {
        "name": "get_data_summary",
        "description": "Get the low-token dataset selection summary for a saved dataset_id. Use this after list_data(search=..., compact=true) before paying for the full schema payload. Read-only and non-destructive; reads only the active API key's organization and is not separately rate-limited. Returns dataset_id, name, status, source_names, row_count, column_count, registered_at, and query_hints."
      },
      {
        "name": "get_data_schema",
        "description": "Get a saved dataset plus its schema and relationship metadata by dataset_id. Read-only and non-destructive; reads only the active API key's organization and is not separately rate-limited. Use get_data_summary first for a low-token look. Returns the dataset record and its schema: row_count, columns, roles_summary, formulas, and query_hints."
      },
      {
        "name": "refresh_data",
        "description": "Re-pull a saved dataset from its original database, API, or object-store origin using the stored connection and selection, and return the same envelope as connect_data (status, schema_summary, refreshable). Only datasets created from a live connection can refresh — an inline upload fails with not_refreshable (check the refreshable flag in list_data first), and an unknown dataset_id fails with not_found."
      },
      {
        "name": "disconnect_data",
        "description": "Delete a saved dataset and disconnect it from future use. When no other dataset in the workspace still uses the backing saved connection, that connection is deleted too and connection_deleted is true in the response. Requires manage permission on the dataset (access_scope_denied otherwise). Use list_data to confirm the dataset first — deletion is immediate. Deleting is idempotent: repeating the call on an already-deleted or never-existing dataset_id returns success with already_absent: true instead of not_found. Returns dataset_id, status 'deleted', and connection_deleted."
      },
      {
        "name": "register_source",
        "description": "Advanced tool. Register a data source and get full schema profiling + join detection. Profiles every column (type, cardinality, fill rate, distribution). Detects formula relationships (A×B≈C) within the source. Detects join keys to every already-registered source automatically. After registration the source is queryable by name via query_data. Safe to call multiple times — re-registration is a no-op if data is unchanged. Registration persists the source profile under the active API key's organization. Returns source_id and the profiled schema with columns, roles, formulas, and detected join ke"
      },
      {
        "name": "list_sources",
        "description": "Advanced tool. List all registered data sources for this org with their schema summaries. Use this to discover available tables before calling query_data or register_source. Read-only and non-destructive; not separately rate-limited. Returns the sources array with each source's id, name, and schema summary (columns, roles, detected join keys), plus count, total, page, limit, and pages."
      },
      {
        "name": "get_source_schema",
        "description": "Advanced tool. Get the full schema for a specific registered source: column types, cardinality, fill rates, formula relationships, and detected join keys to other sources. Read-only and non-destructive; not separately rate-limited. Use list_sources to find source ids. Returns source_id and the full schema: column types, cardinality, fill rates, formula relationships, and detected join keys."
      },
      {
        "name": "list_connectors",
        "description": "List the data connectors saved under the caller's organization — databases, APIs, file-backed, and repository sources — with id, name, connector_type, status (untested, live, error), and visibility; stored credentials are never returned. Paginated with page and limit; status filters the returned page client-side. Use this first to find a connector_id for get_connector, test_connector, browse_connector, or the repository tools, and create_connector to add one. Read-only."
      },
      {
        "name": "create_connector",
        "description": "Save one connector configuration (host, credentials, options) for later data onboarding, health checks, and schema browsing. config is encrypted at rest and the new connector starts untested — call test_connector to verify it reaches the source, then browse_connector to discover what it exposes. Returns the saved connector with its connector_id, persisted under the active API key's organization. To try a definition without saving anything, call preview_test_connector instead."
      },
      {
        "name": "get_connector",
        "description": "Fetch one saved connector by connector_id: name, connector_type, status, visibility, timestamps, and the config fingerprint — never the stored credentials. Use list_connectors to find ids. Read-only; an unknown or invisible id fails with not_found."
      },
      {
        "name": "update_connector",
        "description": "Partially update one saved connector: only the supplied fields change. Passing a new config replaces the encrypted credentials and resets the connector to untested, so call test_connector again afterwards. Requires manage permission on the connector (access_scope_denied otherwise) and at least one field; an unknown id fails with not_found. Returns the updated connector. Use preview_test_connector to validate a new config before applying it here."
      },
      {
        "name": "test_connector",
        "description": "Run a real connectivity test against one saved connector's stored config and persist the outcome as its live or error status with last_tested_at. This opens an actual connection to the source. Use preview_test_connector for an unsaved inline definition, and browse_connector once the connector is live. Returns success, message, latency_ms, status, error_type, and recoverable."
      },
      {
        "name": "browse_connector",
        "description": "Discover what one saved connector exposes — files, tables, endpoints, or items — with discovery labels and metadata for choosing what to onboard. The connector must be live: an untested or errored connector fails with not_connected, so run test_connector first. Use preview_browse_connector for an unsaved inline definition. Read-only against the source. Returns connector_type, items, total, message, labels, and discovery."
      },
      {
        "name": "preview_test_connector",
        "description": "Run a real connectivity test against an inline connector definition without saving anything — the dry run for create_connector. This opens an actual connection to the source, is rate-limited per organization, and caches successful outcomes briefly. Nothing is persisted. Returns success, message, latency_ms, status, error_type, and recoverable; call create_connector once the definition passes."
      },
      {
        "name": "preview_browse_connector",
        "description": "Browse one inline connector definition without saving it to discover files, tables, endpoints, or items. This opens a real connection to the source and is rate-limited per organization; nothing is saved. Use browse_connector for saved connectors. Returns connector_type, items, total, message, labels, and discovery metadata."
      },
      {
        "name": "delete_connector",
        "description": "Delete one saved connector by id. Use update_connector to change config without losing the saved definition. Deleting is idempotent: repeating the call on an already-deleted or never-existing id returns success with already_absent: true instead of an error. Returns connector_id with deleted: true."
      },
      {
        "name": "get_repository_intelligence_capabilities",
        "description": "List globally supported Repository Intelligence languages and ranked support progress. Read-only and non-destructive. Check language support here before create_repository_snapshot. Returns supported_languages and support_progress (ranked target counts, progress fraction, and label)."
      },
      {
        "name": "create_repository_snapshot",
        "description": "Create or reuse an immutable, content-hashed snapshot of a saved repository connector (a connector of a repository type — find its id with list_connectors). Re-running with identical inputs returns the existing snapshot (status='existing') instead of duplicating it. The snapshot is the input to triage_repository and query_repository_graph; every later stage references it by snapshot_id. Reads the repository and persists snapshot, symbol, and dependency graph artifacts; it never writes to the repository. Returns snapshot_id, resolved_revision, content_hash, file_count, language_counts, and arti"
      },
      {
        "name": "get_repository_snapshot",
        "description": "Fetch one persisted immutable repository snapshot by repository_id and snapshot_id, including its resolved_revision, content_hash, file_count, language_counts, and graph artifact refs. Use this to re-read a snapshot created earlier with create_repository_snapshot (or through run_repository_pipeline). Read-only; an unknown snapshot or repository id fails with not_found."
      }
    ],
    "profiled_at": "2026-09-27T21:00:55.429Z"
  }
}