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← Back to AgentRPC Overview

AgentRPC Pricing & Plans 2026

Complete pricing guide for AgentRPC. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try AgentRPC Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether AgentRPC is worth it →

🆓Free Tier Available
💎1 Paid Plans
⚡No Setup Fees

Choose Your Plan

Open Source (Self-Hosted)

Free

mo

  • ✓Full Apache 2.0 license — unrestricted commercial use
  • ✓All SDKs included (TypeScript, Go, Python; .NET in development)
  • ✓Built-in MCP server in TypeScript SDK
  • ✓Self-host the RPC server on your own infrastructure
  • ✓No usage limits or function call quotas
Start Free →

Managed Hosting

Quote-based (contact for pricing)

mo

  • ✓Hosted RPC server at api.agentrpc.com
  • ✓Tracing, metrics, and structured event logging
  • ✓Health monitoring for registered functions
  • ✓Pricing scales with function call volume and team size
  • ✓Contact team for quote — no public pricing page available
Start Free Trial →

Pricing sourced from AgentRPC · Last verified March 2026

Feature Comparison

FeaturesOpen Source (Self-Hosted)Managed Hosting
Full Apache 2.0 license — unrestricted commercial use✓✓
All SDKs included (TypeScript, Go, Python; .NET in development)✓✓
Built-in MCP server in TypeScript SDK✓✓
Self-host the RPC server on your own infrastructure✓✓
No usage limits or function call quotas✓✓
Hosted RPC server at api.agentrpc.com—✓
Tracing, metrics, and structured event logging—✓
Health monitoring for registered functions—✓
Pricing scales with function call volume and team size—✓
Contact team for quote — no public pricing page available—✓

Is AgentRPC Worth It?

✅ Why Choose AgentRPC

  • • Bridges network boundaries without VPN or port configuration — register functions from private VPCs, Kubernetes clusters, and firewalled environments in minutes using outbound-only connections
  • • Long-polling SDKs solve the 30-60 second HTTP timeout problem that breaks agent tasks running for minutes — critical for database queries, report generation, and multi-step data processing
  • • Multi-language SDKs across 3 languages (TypeScript, Go, Python) with a 4th (.NET) in development let polyglot teams expose functions from every stack through one unified RPC layer
  • • Built-in MCP server in the TypeScript SDK means instant compatibility with Claude Desktop, Cursor, and any MCP-compatible host without additional configuration
  • • OpenAI-compatible tool definitions work with Anthropic, LiteLLM, and OpenRouter without modification — covering essentially every major LLM provider through a single tool schema
  • • Open-source under Apache 2.0 license on GitHub with optional managed hosting available — permits unrestricted commercial use, self-hosting, and modification with no vendor lock-in

⚠️ Consider This

  • • Small user community with very few public production deployment examples or documented case studies as of early 2026 — limits available reference architectures
  • • Documentation covers setup basics but lacks depth on security hardening, scaling patterns, and production deployment best practices
  • • Adds unnecessary complexity for publicly accessible tools — overkill when direct HTTP calls or standard MCP servers work fine
  • • Managed server adds a network hop that introduces tens of milliseconds of latency — meaningful overhead for sub-millisecond function calls
  • • .NET SDK still in development — teams using C# or F# cannot use AgentRPC yet and have no announced timeline

What Users Say About AgentRPC

👍 What Users Love

  • ✓Bridges network boundaries without VPN or port configuration — register functions from private VPCs, Kubernetes clusters, and firewalled environments in minutes using outbound-only connections
  • ✓Long-polling SDKs solve the 30-60 second HTTP timeout problem that breaks agent tasks running for minutes — critical for database queries, report generation, and multi-step data processing
  • ✓Multi-language SDKs across 3 languages (TypeScript, Go, Python) with a 4th (.NET) in development let polyglot teams expose functions from every stack through one unified RPC layer
  • ✓Built-in MCP server in the TypeScript SDK means instant compatibility with Claude Desktop, Cursor, and any MCP-compatible host without additional configuration
  • ✓OpenAI-compatible tool definitions work with Anthropic, LiteLLM, and OpenRouter without modification — covering essentially every major LLM provider through a single tool schema
  • ✓Open-source under Apache 2.0 license on GitHub with optional managed hosting available — permits unrestricted commercial use, self-hosting, and modification with no vendor lock-in

👎 Common Concerns

  • ⚠Small user community with very few public production deployment examples or documented case studies as of early 2026 — limits available reference architectures
  • ⚠Documentation covers setup basics but lacks depth on security hardening, scaling patterns, and production deployment best practices
  • ⚠Adds unnecessary complexity for publicly accessible tools — overkill when direct HTTP calls or standard MCP servers work fine
  • ⚠Managed server adds a network hop that introduces tens of milliseconds of latency — meaningful overhead for sub-millisecond function calls
  • ⚠.NET SDK still in development — teams using C# or F# cannot use AgentRPC yet and have no announced timeline

Pricing FAQ

How is AgentRPC different from regular RPC frameworks like gRPC?

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.

Do I need AgentRPC if my tools are on public APIs?

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.

What's the latency overhead of using AgentRPC?

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.

Is AgentRPC open-source and can I self-host it?

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.

How does AgentRPC compare to Temporal for long-running workflows?

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.

How much does the managed hosting cost?

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.

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