Routes agent HTTP calls through async execution with validation, retries, approvals, credential isolation, replay, and execution tracking.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Klanex MCP.
executeSubmit an HTTP call for reliable async execution: optional JSON Schema gate, retries/backoff/circuit breakers, idempotency keys, human approval gates, encrypted credentials. `wait_seconds` blocks up to 55s for the terminal result.
get_executionCurrent status, attempts, target response, or classified error for an execution.
list_executionsThe account's executions, filterable by status/time, paginated.
replay_executionRe-run a terminal execution byte-exact โ outage recovery without re-prompting the LLM.
get_usagePlan and current-month usage/quota.
list_connectionsStored credential connections (token vault) to reference via `connection_id` โ so secrets never pass through model context.
The chrassy/klanex-mcp MCP server exposes Klanex as an execution layer for agent-initiated HTTP requests. Instead of having an agent call a third-party API directly, the agent submits the request to Klanex and receives an execution record. Klanex can validate a payload before sending it, handle selected transient failures, and return either the target response or a classified error.
The service is intended for workflows where an API call may need durability, approval, or later inspection. It also provides model-oriented error details through an llm_hint, allowing an agent to distinguish a request that needs correction from a failure Klanex is already handling.
The execute tool accepts an HTTP call and optional controls such as a JSON Schema payload gate, retry and circuit-breaker behavior, an idempotency key, approval requirements, and a stored credential connection. The wait_seconds option can wait for a terminal result for up to 55 seconds; callers can instead inspect the execution later.
Execution state is available through get_execution, while list_executions provides paginated account history with status and time filters. A terminal execution can be submitted again with replay_execution, using the original request bytes rather than asking the model to reconstruct the call. get_usage reports the plan and current-month quota. list_connections exposes references to stored credential connections without placing their secret values in model context.
The hosted service exposes https://api.klanexai.com/mcp for production and https://api.sandbox.klanexai.com/mcp for a free-to-try sandbox. Both require a Klanex API key. Clients can send the key in the X-API-Key header; Authorization: Bearer is also supported for clients that require that form.
For stdio-only clients, install and run the klanex-mcp npm package with npx -y klanex-mcp. Set KLANEX_API_KEY in the process environment. Keys beginning with the test prefix route to the sandbox automatically, and KLANEX_MCP_URL can override the selected endpoint.
execute.connection_id.The chrassy/klanex-mcp MCP server is an interface to the hosted Klanex service, not a general local HTTP execution engine. Its production and sandbox endpoints require API keys, and the material does not specify production pricing or quota amounts. The stdio package acts as a proxy to the hosted endpoint, so connectivity to that service remains part of the deployment requirements. The documented wait_seconds blocking period is limited to 55 seconds; longer-running work must be checked asynchronously.
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