{"id":"inngest","name":"Inngest","category":"orchestration","summary":"Resume agent workflows after failures and long waits.","description":"Use Inngest to coordinate durable steps, retries and event-driven waits, with API, SDK, CLI and MCP access to inspect or operate deployed workflows.","url":"https://aiagentstore.ai/services-for-ai-agents/inngest","website":"https://www.inngest.com?utm_source=aiagentstore.ai","docs":"https://www.inngest.com/docs/ai-dev-tools/mcp?utm_source=aiagentstore.ai","interfaces":["api","sdk","cli","mcp"],"capabilities":["durable-execution","workflow","scheduling"],"humanSetup":"Create an Inngest account, integrate the SDK and deploy or connect the application code that executes your functions. Scope agent access to the intended environment.","authentication":"Cloud MCP supports OAuth or an API key, with environment and read/write permissions. Signing keys are not accepted as Cloud MCP API keys.","billing":"Plans meter function runs and step executions, with separate resource allowances. Count steps as well as runs when estimating cost; application hosting and model-provider usage can add separate charges.","firstTask":"Inspect a known development run and its trace, then trigger one bounded test event in the intended non-production environment.","limitations":"Your hosting environment still imposes runtime limits. Retries do not make arbitrary external side effects exactly once. Invoking or rerunning functions can repeat real actions.","readiness":"human-review-required","paymentMode":"provider-account","agentPayments":"not-verified","verifiedAt":"2026-10-17","verification":"Official documentation reviewed; account onboarding and paid execution not independently tested.","sources":["https://www.inngest.com/docs/ai-dev-tools/mcp?utm_source=aiagentstore.ai","https://www.inngest.com/docs/durable-execution?utm_source=aiagentstore.ai","https://www.inngest.com/docs/durable-execution/limits?utm_source=aiagentstore.ai","https://www.inngest.com/pricing?utm_source=aiagentstore.ai"],"siteGuide":{"title":"Make each external side effect recoverable before enabling retries","summary":"The external dependency is durable orchestration state, scheduling and recovery infrastructure. An in-memory agent loop loses that state when its process stops.","url":"https://aiagentstore.ai/services-for-ai-agents/inngest#integration-playbook","contentType":"text/html","requiresBrowser":false,"includes":["selection rationale","suggested workflow","acceptance checks","failure recovery","related services"],"basis":"Original AI Agent Store editorial guidance; not an execution benchmark."},"categoryUrl":"https://aiagentstore.ai/services-for-ai-agents/category/orchestration","tagLinks":[{"id":"api","url":"https://aiagentstore.ai/services-for-ai-agents/tag/api"},{"id":"sdk","url":"https://aiagentstore.ai/services-for-ai-agents/tag/sdk"},{"id":"cli","url":"https://aiagentstore.ai/services-for-ai-agents/tag/cli"},{"id":"mcp","url":"https://aiagentstore.ai/services-for-ai-agents/tag/mcp"},{"id":"durable-execution","url":"https://aiagentstore.ai/services-for-ai-agents/tag/durable-execution"},{"id":"workflow","url":"https://aiagentstore.ai/services-for-ai-agents/tag/workflow"},{"id":"scheduling","url":"https://aiagentstore.ai/services-for-ai-agents/tag/scheduling"}]}