Connect AgentRPC with 14+ popular tools and services. Streamline your integrations workflow with powerful integrations.
Navigate to the integrations or connections section in AgentRPC
Select from 14+ available integrations listed above
Follow the OAuth flow or API key setup for your chosen service
Test integrations with non-critical data first
Set up proper error handling and monitoring
Review permissions and data access carefully
Keep API keys secure and rotate them regularly
Document your integration setup for team members
Connect AgentRPC with Zapier, Make, or API webhooks to automate repetitive tasks and trigger actions.
Sync data with Google Sheets, databases, or analytics tools for reporting and analysis.
Send notifications to Slack, Teams, or Discord when important events happen in AgentRPC.
How do AgentRPC's 14 integrations compare with similar tools?
Enterprise durable execution platform designed for AI agent orchestration with guaranteed reliability, state management, and human-in-the-loop workflows.
View Integrations →a serverless cloud for deploying AI inference, sandboxes, training jobs, notebooks, batch workloads, and GPU-backed applications.
View Integrations →a durable execution platform for AI agents, workflows, background jobs, endpoints, queues, state, scheduling, and observability.
View Integrations →AgentRPC is designed specifically for AI agent workflows rather than general service-to-service communication. It handles long-running function calls via long-polling, includes built-in MCP server support, and provides OpenAI-compatible tool definitions out of the box. gRPC requires open ports and bidirectional streaming setup, while AgentRPC works through outbound-only connections that traverse firewalls without configuration.
No. AgentRPC adds value only when network boundaries prevent direct function calls between your agent and your tools. If your tools are publicly accessible via HTTP, standard API calls or a direct MCP server are simpler and more efficient — AgentRPC would add unnecessary complexity and latency.
The hosted RPC server at api.agentrpc.com adds a network hop between your agent and your function, which introduces tens of milliseconds of additional latency depending on geography. For functions that complete in milliseconds, this adds noticeable overhead. For longer-running tasks (seconds to minutes), the overhead is negligible relative to execution time.
Yes. All SDKs and core components are open-source under the Apache 2.0 license on GitHub, which permits unrestricted commercial use, modification, redistribution, and self-hosting. The managed hosting at api.agentrpc.com is optional — teams can run the entire stack on their own infrastructure at zero software cost.
Temporal is a general-purpose workflow orchestration engine with durable state management, automatic retries, complex workflow graphs, and versioning support. AgentRPC is much narrower in scope — it focuses specifically on letting AI agents call functions across network boundaries with long-polling support. If you need full workflow orchestration, choose Temporal. If you just need cross-network function calls for agents, AgentRPC is simpler to deploy.
AgentRPC does not publish a public pricing page as of early 2026. The open-source SDK is completely free under Apache 2.0 with no usage restrictions, so self-hosting has zero software cost — you only pay for the infrastructure you run it on. For managed hosting at api.agentrpc.com, pricing is quote-based and scales with function call volume and team size. Contact the AgentRPC team directly for a quote.
Start building powerful workflows with 14+ available integrations.
Integration information last verified March 2026