bots.st/algenta-mcp-server
Algenta MCP Server
Simulate, query, and approve governed data runs
2898 ms
answered our call
- State
- Answered
- Protocol
- MCP 2025-06-18
- Tools listed
- 140
- Answered
- 3 of the last 3 calls
How to reach it
- MCP, HTTP
https://api.algenta.ai/mcpNeeds header Authorization - PyPI
uvx algenta-mcpReleased 2 Nov 2026, version 1.0.45Set ALGENTA_API_KEY
What it can do
| Tool | What it says it does |
|---|---|
apply_repository | Materialize a simulated repository decision in one of three modes. patch_only just returns the validated patch diff with applied=false and writes nothing. local_branch commits the patch to a new branch (default algenta/<plan-suffix>) in the engine-side checkout and returns commit_sha and… |
approve_agent_run | Approve an agent run that is waiting on manual approval (status requires_approval) and execute it synchronously to completion. Runs in any other state fail with agent_run_invalid_state; an unknown run_id fails with agent_run_not_found. The approval is the human-in-the-loop gate for manual-mode… |
batch | Run multiple simulation requests in one call and return per-item success or failure details. Synchronous deterministic compute; nothing is persisted and no separate rate limit applies. Use simulate for a single request and submit_job for very large async runs. Returns total, succeeded, failed, and… |
browse_connector | 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… |
cancel_agent_run | Cancel an agent run by run_id, ending its lifecycle at cancelled. Only a paused or requires_approval run can be cancelled — anything else fails with agent_run_invalid_state. Cancelling is idempotent: repeating the call on an already-cancelled or never-existing run_id returns success with… |
cancel_job | Cancel a queued or running async simulation job by id. Use this for queued or running jobs; list_jobs shows their states. Cancelling is idempotent: repeating the call on an already-cancelled or never-existing id returns success with already_absent: true instead of an error; a completed or failed… |
chat_completions | Run one ordered chat transcript through an Algenta model and return the assistant message plus token usage. The default text.tokenizer model is a deterministic tokenizer-backed utility route whose assistant message is a JSON tokenization summary of the user messages — not a generative LLM… |
compare | Run 2-10 named scenarios side by side and return the winner plus each scenario's deltas versus the best one. The winner is the scenario with the highest expected value; every entry reports its recommended_action, expected_value, probability_of_loss, and delta_vs_best. Each scenario's request uses… |
connect_data | 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… |
count_tokens | Count how many tokens a supported deterministic Algenta tokenizer model produces for UTF-8 text (default text.tokenizer; call list_models for every supported model id). Use this for prompt-size checks and token budgeting; call tokenize when you also need the token strings. Read-only and… |
create_agent_run | Create a persisted agent run lifecycle resource for a natural-language task. With approval_mode=auto (default) the run picks a tool from the task wording, executes synchronously, and returns completed; approval_mode=manual parks it at requires_approval until approve_agent_run, and… |
create_api_key | Create a new API key for the current organization and return its raw_key value exactly once — it is never shown again, so store it immediately. expires_at optionally sets an ISO-8601 expiry and device_limit caps how many devices the key may register (validated against the plan ceiling… |
create_billing_checkout | Create a Stripe Checkout session for the active organization and return its hosted checkout URL. The user completes the purchase in the browser; nothing is charged by this call itself. Requires an owner API key. plan defaults to developer; an unsupported plan fails with invalid_plan. Use… |
create_billing_portal | Create a Stripe Billing Portal session for the active organization and return its URL, where the user manages payment methods, invoices, and the subscription. Requires an owner API key and an existing billing account — an org that has never checked out fails with no_billing_account (call… |
create_capability_binding | Save one capability binding for a provider/profile pair and return it with its binding_id. scope (default workspace) decides who can use it, execution_owner decides where executions run (algenta_managed on the engine, client_managed in the customer app or adapter path), and config carries the… |
create_connector | 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… |
create_deployment | Request a new isolated engine deployment for the active organization on the chosen provider and region. Returns immediately with status requested — provisioning is asynchronous, so poll get_deployment until status is active; API calls then route to the isolated deployment automatically. Requires… |
create_repository_decision_plan | Create one stored, immutable repository DecisionPlan revision from a triage workspace evidence bundle and return its decision_plan_id plus the validated patch diff inline. snapshot_id is resolved from the bundle when omitted. This is the only LLM-touching stage of the repository chain; model… |
create_repository_snapshot | 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… |
delete_connector | 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. |
delete_decision | Delete one decision-memory record by id. Deletion is permanent; review with list_decisions first. 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 the deletion confirmation for the… |
delete_deployment | Request deprovisioning for one deployment by id. Deprovision with this before create_deployment when a deployment already exists. Deleting is idempotent: repeating the call on an already-deprovisioned or never-existing id returns success with already_absent: true instead of an error. Returns… |
delete_trigger | Delete one trigger by trigger_id (find ids with list_triggers). The trigger is removed immediately and will no longer fire automatically; its registration cannot be recovered from this tool. To stop a trigger temporarily instead, use pause_trigger. Deleting is idempotent: repeating the call on an… |
disable_skill | Disable one skill by deleting its capability binding (find binding ids with list_skills or list_capability_bindings). The skill immediately stops appearing in the capability catalog and can no longer be routed or executed; the deletion is permanent. Disabling is idempotent: repeating the call on… |
disconnect_data | 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… |
discover_capability_binding | Discover the capabilities one binding exposes and return them as catalog entries. Pass binding_id to discover a saved binding (this publishes or refreshes its capabilities in the catalog), or a full inline definition to preview-discover one that was never saved. Call this after… |
embedding_similarity | Score the similarity between two caller-supplied embedding vectors with a supported deterministic metric (default embeddings.cosine_similarity). This tool does not generate embeddings from text — call embeddings first to produce the vectors. left and right must have equal length or the call fails… |
embeddings | Generate one embedding vector per input string (a single string or a list of strings). The default text.hash_embedding_v1 model produces deterministic lexical hash embeddings — identical input always yields the identical vector; provider-backed embedding models advertised by list_models are routed… |
enable_skill | Enable one prompt skill as a first-class capability binding and return its discovered catalog entry. The skill's instruction text becomes an instruction_only capability under the caller's user scope, selectable by route_capabilities. Persists a new binding; remove it with disable_skill. Use… |
execute_capability | Execute one routed or known algenta_managed capability by capability id and return the execution receipt. client_managed routes must execute in the customer app or adapter path — this tool will not run them. If the capability requires approval (approval_required), this returns a pending plan… |
execute_decision | Dispatch a logged decision to an external webhook and persist the execution receipt. Use record_outcome instead when reporting a result rather than dispatching an action. Returns the delivery receipt: decision_id, webhook_url, execution_status, response_code, executed_at, and the policy and schema… |
execute_runtime_library | Execute one local-runtime Mojo library function by module and function name. Pass args as either a JSON object, array, scalar, or null. This surface is local/runtime-backed only and does not route through hosted data/query APIs. |
fire_trigger | Manually fire a trigger — evaluates its condition and runs the simulation template regardless of whether the threshold is currently met. Useful for testing triggers or forcing an immediate evaluation. Use pause_trigger to stop automatic firing without deleting the trigger. Returns trigger_id… |
get_agent_run | Fetch one persisted agent run by run_id: status, task, selected_tool, steps, result, tools_used, and the policy/schema snapshot ids it ran under. Use list_agent_runs to find run ids, get_agent_run_events for its event trail, and get_agent_run_checkpoints for replay checkpoints. Read-only; an… |
get_agent_run_checkpoints | List the persisted checkpoints of one agent run — the deterministic snapshots written at creation and every lifecycle transition that make the run replayable. Use query_agent_run_checkpoints to search checkpoints across runs. Read-only; an unknown run_id fails with agent_run_not_found. Returns the… |
get_agent_run_events | Fetch the append-only event stream of one agent run — run_created, tool_selected, tool_executed, run_completed, and the pause/approve/cancel transitions — in order. Use get_agent_run_mission_events for the canonical mission-event projection of the same trail. Read-only; an unknown run_id fails… |
get_agent_run_mission_events | Fetch the canonical mission-event records of one agent run — the typed, indexed projection of its lifecycle used for audit and replay. Use get_agent_run_events for the raw append-only stream and query_agent_run_mission_events to search mission events across runs. Read-only; an unknown run_id fails… |
get_agent_run_telemetry | Fetch the runtime telemetry batches recorded for one agent run — the module-level timing and execution detail captured while it ran. Use query_agent_run_telemetry to search telemetry across runs by kind or module. Read-only; an unknown run_id fails with agent_run_not_found. Returns the run's… |
get_analytics | Get aggregate usage analytics over the organization's simulation runs inside a lookback window: total_simulations, avg_confidence, action_breakdown (how recommended actions distribute), and latency_p95_ms. days sets the window (default 30, range 1-365). Use list_runs for individual runs instead of… |
get_audit_log_artifacts | Query the organization's immutable Parquet audit-log artifacts with pagination (defaults page 1, limit 25) and exact-match filters, including content_hash for pinpointing one artifact. Artifacts are the tamper-evident copy of the audit trail; use get_audit_logs for the live audit-event table… |
get_audit_logs | Query the organization's audit-event log, newest first, with pagination (defaults page 1, limit 25) and exact-match filters. Every entry records who did what to which resource with which result; an org with no events returns an honest empty page. Requires an admin API key. Use… |
get_billing_info | Get current billing plan and subscription info for the active organization. Read-only and non-destructive; not separately rate-limited. Use create_billing_checkout or create_billing_portal to change anything. Returns plan, stripe_customer_id, subscription_status, and current_period_end. |
get_capability | Fetch one unified capability catalog entry by capability_id: kind, provider, binding, execution owner, approval requirement, and tags. include_instruction=true also returns the skill instruction text. Find capability ids with list_capabilities or route_capabilities. Read-only; an unknown id fails… |
get_connector | 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. |
get_contract | Get the machine-readable Algenta public contract. Use this when an agent needs the canonical discovery, summary, query, batch, SQL report, governed filter rules, CLI, or MCP entrypoints before planning tool use. Read-only and non-destructive; not separately rate-limited. |
get_data_schema | 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… |
get_data_summary | 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… |
get_dataset_status | 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)… |
get_decision | Fetch one decision-memory record by id. Read-only and non-destructive; not separately rate-limited. Use list_decisions to find decision ids. Returns the full decision record including context, options_considered, risk fields, integrity hashes, and outcome fields when recorded. |
get_deployment | Fetch the current deployment for the active organization, if one exists. Read-only and non-destructive; not separately rate-limited. Poll this after create_deployment until status is active. Returns the deployment record (deployment_id, provider, region, status, config, created_at) or null when… |
get_deployment_cost | Get the current-month cost details of one deployment by id: provider, region, cost_usd_month, billable_cost_usd_month after markup, the applied billing_markup_pct, and last_updated. Requires an admin API key; an unknown deployment_id fails with not_found. Use get_deployment to find the active… |
get_execution_policy | Get the current autonomous execution policy for the active organization. Read-only and non-destructive; not separately rate-limited. Read this before update_execution_policy. Returns min_confidence, risk_floor, require_calibration, allow_reexecution, and the current snapshot metadata. |
get_job_result | Fetch the completed result payload for an async simulation job by id. Read-only and non-destructive; not separately rate-limited. Use get_job_status to check progress before the job completes. Returns the completed job's result payload. |
get_job_status | Fetch the latest async simulation job status by id. Read-only and non-destructive; not separately rate-limited. Use poll_job to block until a terminal state. Returns the job record with status, progress, timestamps, and poll_url. |
get_limits | Get current plan quotas and limits for the active API key. Read-only and non-destructive; not separately rate-limited. Use get_usage for current consumption against these limits. Returns the plan's quota ceilings, including rate, concurrency, storage, and LLM spend cap. |
get_me | Get current user and organization identity for the active API key. Read-only and non-destructive; not separately rate-limited. Use update_me to change the returned names. Returns user_id, name, email, role, and the organization id, name, and plan. |
get_repository_intelligence_capabilities | 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). |
get_repository_snapshot | 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… |
get_run | Fetch one simulation run by run_id with its full detail — the decision metrics and the request context it ran under. Use list_runs to find run ids. Read-only; an unknown run_id fails with not_found. Returns the run record: run_id, recommended_action, confidence, expected_value, mode, and… |
get_runtime_benchmarks | 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. Read-only and… |
And 80 more tools.
In its maker's words
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
- Website
- algenta.ai
- Source
- github.com/thyn-ai/algenta-sdk
- Publisher
- thyn-ai (4 listings in the registry)
- Listed from
- the official MCP Registry as
io.github.thyn-ai/algenta - Version
- 1.0.31, updated 25 Sep 2026
- Kinds of work
- AI models and agent tools, Data and databases, Browser and automation
The domain it lives on
- algenta.ai
- registered 11 May 2025 (1 year ago), at GoDaddy.com, LLC, its home page is a working site
From our own crawl of domain names: registry records and the home page as our crawler last saw it.
Every call we made
| When | What happened | Time |
|---|---|---|
| Answered | 2898 ms | |
| Answered | 2609 ms | |
| Answered | 917 ms |
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