Algenta MCP Server

Get current-month cost details for one deployment by id.

Get the current autonomous execution policy for the active organization.

Fetch the completed result payload for an async simulation job by id.

Fetch the latest async simulation job status by id.

Get current plan quotas and limits for the active API key.

Get current user and organization identity for the active API key.

List globally supported Repository Intelligence languages and ranked support progress.

Fetch one immutable repository snapshot by repository_id and snapshot_id.

Fetch a single simulation run by ID.

Get the authenticated Algenta runtime benchmark catalog. Use this when an agent needs benchmark classes, benchmark evidence paths, evaluation quality gates, SLO budgets, compiled artifacts, or module benchmark linkage before reasoning about runtime performance claims.

Get the signed Algenta runtime manifest. Use this when an agent needs the canonical runtime-core inventory, maturity states, proof matrix, typed failure contract, or release theorem before using runtime-backed execution paths.

Get the authenticated Algenta runtime module proof catalog. Use this when an agent needs the shipping module inventory, proof-matrix entries, maturity counts, or compiled module evidence before using runtime-backed paths.

Get the authenticated Algenta runtime release validation result. Use this when an agent needs the current manifest-listed release verdict, formal theorem conditions, or fail-closed proof status before using runtime-backed paths.

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.

Get current billing period usage vs quota for this API key.

Auto-map tabular data to a simulation payload. Detects variable distributions, polarity (revenue=positive, cost=negative), units, and builds the objective function automatically. Set run_simulation=true to execute the simulation immediately and get results. Multiple tables: auto-detects join keys and merges before analysis.

Ingest an explicitly enabled managed-runtime analytics batch.

Invite a team member to the current organization.

List persisted Algenta agent runs for the authenticated org.

List active API keys for the current organization. Never returns raw secret material.

List unified capabilities filtered by kind, provider, or binding.

List capability bindings for the current organization.

List unified capability providers across data, MCP, skills, native tools, and runtime libraries.

List saved data connectors such as databases, APIs, and file-backed sources. Use this before get_connector, test_connector, or browse_connector.

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.

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.

Retrieve the Decision Memory audit trail — all logged decisions, most recent first. Use with_outcome_only=true to see only decisions where actual results have been recorded. outcome_delta = actual_outcome - expected_value: negative means worse than predicted.

List available deployment providers and regions for the current organization.

List registered devices for the current organization.

List supported distribution types for the active API key.

List persisted execution-policy snapshots for the active organization.

List async simulation jobs with pagination and optional status filtering.

List the current Algenta model catalog, including deterministic utility models and any provider-backed routed entries with their routing, failover, timeout, and auth metadata, including capability-specific chat and embedding auth/header readiness. Use this before calling tokenize, count_tokens, chat_completions, responses, embeddings, embedding_similarity, or rerank.

List recent simulation runs with optional filters.

List executable local-runtime Mojo libraries. Use this when you need the runtime-backed compute catalog rather than the governed data/query tools. This surface is local/runtime-backed only.

List skill capabilities from the unified capability plane.

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.

List team members for the current organization.

List built-in simulation templates for the active API key.

List all registered triggers with their current status, last-checked time, and last-fired simulation result summary.

Persist a decision to the Decision Memory audit trail. Link to a simulation run_id to bind the full DecisionPlan context. Call record_outcome later to close the feedback loop and measure prediction accuracy. Every logged decision is immutably hashed — no tampering possible.

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).

Pause or resume an existing trigger without deleting it.

Build a structured Algenta DecisionPlan from a validated simulation-style request. Use this when the caller needs the plan summary without the full decision envelope.

Wait for an async simulation job to reach a terminal state. Returns the final result when the job completes, or the terminal status when it fails, is cancelled, or times out.

Browse one inline connector definition without saving it to discover files, tables, endpoints, or items.

Run a real connectivity test for one inline connector definition without saving it.

Run the simple product task-execution helper and return a compact task result.

Run the simple product decision helper and return the chosen action plus risk summary.

Run the simple product forecast helper over a historical metric series.