agentstack

endpoint

https://agentstack.tech/mcp

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is agentstack live?

Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is agentstack free to use?

Not measured yet.

What tools does agentstack have?

1 tool: agentstack.execute.

Is agentstack safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• agentstack.execute unknown never probed

  AgentStack MCP = Work Graph control plane. After session + context.project_id: agents.work_next (mcp_work_loop_v1) -> plan_claim -> plan_execute (CAS/leases). Follow packet.next_action; catalog/discovery.search only if no packet. One-shot CRM/upload may call domain actions directly. Spine: agents.plan_get -> agents.work_next -> agents.plan_claim -> agents.plan_execute. Cheap and batchable on one sync execute: agents.work_next, agents.plan_get, agents.plan_claim. One per sync execute: agents.plan_propose, agents.plan_apply_proposal, agents.plan_recovery_scan, context.get. Anti-pattern: Do not pick tools from catalog when packet.next_action is present. Mandatory session order: authenticate -> session probe auth.get_profile (alias auth.me) -> select/create project -> set context.project_id on every batch -> Work Graph loop. Playbook GET /mcp/prompts/get?name=agentstack_session_setup (recipe mcp_session_setup). Sync POST /mcp is lane mcp_batch (60000 ms) for the whole batch - not an RBAC cap. One expensive step per sync execute (bots.simulate, commerce.ai.generate_products, commerce.ai.magic_fill, knowledge.playground; agents.run with wait=true; agents.plan_suggest_tree when use_llm; agents.plan_apply_proposal, agents.plan_propose, agents.plan_recovery_scan, context.get). agents.work_next, agents.plan_get, and agents.plan_claim are cheap and may share that batch. LLM-heavy steps widen to ai_stream (180000 ms). Large suites: options.async=true then poll discovery.job_status (REST GET /mcp/jobs/{job_id}). Cite catalog_actions_public from GET /mcp/actions/summary. There is one execute tool (agentstack.execute); do not quote tools_count as 'N tools'. Do not invent rules.* or webhooks.* (prefer logic.* and integrations.*).

  mcp-tool

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  {
    "type": "object",
    "required": [
      "steps"
    ],
    "properties": {
      "steps": {
        "type": "array",
        "items": {
          "type": "object",
          "required": [
            "id",
            "action"
          ],
          "properties": {
            "id": {
              "type": "string",
              "description": "Step id unique within this batch. Referenced by options.observed."
            },
            "if": {
              "type": "object",
              "description": "Optional predicate. The step runs only when this condition matches.",
              "additionalProperties": true
            },
            "action": {
              "type": "string",
              "description": "Canonical dotted action id from GET /mcp/actions (example: auth.get_profile)."
            },
            "params": {
              "type": "object",
              "description": "Action arguments. Shape comes from discovery.describe for that action.",
              "additionalProperties": true
            }
          },
          "description": "One action invocation inside the batch."
        },
        "minItems": 1,
        "description": "Ordered steps. Cheap list/get may batch. At most one heavy LLM action (bots.simulate, knowledge.playground, …) per sync execute."
      },
      "context": {
        "type": "object",
        "properties": {
          "locale": {
            "type": "string",
            "description": "Optional. en, ru, pt, or BCP-47. Overrides this request and is not saved."
          },
          "user_id": {
            "type": "integer",
            "description": "Caller user id. Usually taken from the session; do not invent it."
          },
          "project_id": {
            "type": "integer",
            "description": "Tenant project id. Required for project-scoped actions."
          },
          "generation_env_uuid": {
            "type": "string",
            "description": "Sandbox generation anchor (env_uuid). Not a recipe input."
          }
        },
        "description": "Execute scope: set project_id on every batch; optional locale (en, ru, pt, or BCP-47) overrides this request and is not saved.",
        "additionalProperties": true
      },
      "options": {
        "type": "object",
        "properties": {
          "goal": {
            "type": "string",
            "description": "The same user goal. When set, the envelope names the next playbook step."
          },
          "async": {
            "type": "boolean",
            "description": "Queue the batch (durable job). Required for more than one heavy LLM step. Poll discovery.job_status or GET /mcp/jobs/{job_id}."
          },
          "density": {
            "enum": [
              "strict",
              "guided",
              "autonomous"
            ],
            "type": "string",
            "description": "Wording of the current step. The allowed action set stays the same."
          },
          "envelope": {
            "enum": [
              "compact",
              "full"
            ],
            "type": "string",
            "description": "Batch step payload shape. compact omits duplicate data/capability_result."
          },
          "observed": {
            "type": "object",
            "description": "Playbook progress. completed_steps holds step ids, not action names.",
            "additionalProperties": true
          },
          "recipe_id": {
            "type": "string",
            "description": "Expand a registered MCP recipe into steps before execute (see GET /mcp/recipes)."
          },
          "stopOnError": {
            "type": "boolean",
            "description": "Stop the batch at the first failed step. Default true."
          },
          "publish_asked": {
            "type": "boolean",
            "description": "The user already asked to publish. Skips a second confirm."
          },
          "recipe_params": {
            "type": "object",
            "description": "Values for {{placeholders}} in the recipe.",
            "additionalProperties": true
          },
          "continueOnError": {
            "type": "boolean",
            "description": "Keep later steps running after a failure. Opposite of stopOnError."
          },
          "idempotency_key": {
            "type": "string",
            "description": "Client retry key. The same key returns the same receipt."
          },
          "workflow_run_id": {
            "type": "string",
            "description": "Goal run id. Separate from trace_id. Returned on the completion receipt."
          },
          "enforce_approval": {
            "type": "boolean",
            "description": "When true, financial, destructive, and access-control steps pause for approval."
          },
          "semantic_contract": {
            "type": "object",
            "description": "Fingerprinted GoalSemanticContract — discovery/search parity for inverse batches.",
            "additionalProperties": true
          }
        },
        "description": "Batch controls: async jobs, recipes, playbook progress, and error policy.",
        "additionalProperties": true
      }
    },
    "description": "Batch execute. One tool; each step names a dotted action. Structured result fields: see tools/list outputSchema on agentstack.execute."
  }

  arguments 140 lines copy

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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.