Question 1

What is Invoked?

Accepted Answer

Invoked is a native desktop app for Mac, Windows, and Linux that turns any API into a fully-equipped AI agent environment in under a minute. It is MCP-native (Model Context Protocol) and local-first: your prompts, keys, and runs stay on your machine. You connect a surface (an MCP server or REST API), and Invoked gives you chat, an agent orchestrator, a visual harness builder, evals, and run history around it.

Question 2

How much does Invoked cost?

Accepted Answer

Invoked is free to try for 10 days or 50 runs, no credit card required. After that, Solo is $15 per month or $149 per year, and Team is $25 per seat per month or $249 per seat per year with a 3-seat minimum. Annual billing includes two months free on both Solo and Team.

Question 3

Is Invoked free to use?

Accepted Answer

You can use the full app free during the trial (10 days, 50 runs, no credit card). The public Invoked Exchange — the directory of MCP surfaces, skills, and tools — is completely free to browse and is hand-curated by developer advocates.

Question 4

What is the Invoked Exchange?

Accepted Answer

The Invoked Exchange is a free, hand-curated public directory of MCP surfaces, agent skills, and tools, each with real-world performance data. You can search it, add resources to a loadout, and invoke them straight into your workspace with one click using the "Invoke Me" action.

Question 5

Does Invoked work with Claude and other models?

Accepted Answer

Yes. Invoked is bring-your-own-key and provider-agnostic. It works with Anthropic Claude, OpenAI, and other providers, so you can switch the model powering Chat and the Agent Orchestrator without changing your tools or code.

Question 6

Is my data private?

Accepted Answer

Yes. Invoked is local-first — your prompts, API keys, and run history stay on your device. Secrets are stored in your operating system keychain. Optional community performance metrics are anonymous and opt-in: they never include your prompts, data, keys, or which exact tools you run.

Question 7

Can my team use Invoked together?

Accepted Answer

Yes. The Team plan adds role-based access, claim-link onboarding (the buyer does not have to be a power user), shared skills and surfaces, and workspace-scoped stats. Teams are the primary way organizations adopt Invoked.

Question 8

What platforms does Invoked run on?

Accepted Answer

Invoked ships as a native desktop app for macOS (Apple Silicon and Intel), Windows, and Linux (.deb and .AppImage). There is nothing to host and no server to run.

Question 9

What exactly is Invoked, what is it not, and where does my data live?

Accepted Answer

This deserves a thorough answer, so we wrote a dedicated briefing for architects and solutions engineers that lays out precisely what Invoked is, what it is not, and exactly where your data lives and travels. Read it at https://invoked.ai/invoked-for-architects.html — it is written for security and platform review, in plain language with no marketing fluff.

AI model performance benchmarks

claude-sonnet-4-6 vs claude-haiku-4-5

gpt-4o-mini vs claude-sonnet-4-6

claude-sonnet-4-5 vs mixtral-8x7b

gemini-2.5-pro vs qwen2.5-vl-32b

gpt-5.1 vs claude-opus-4-6

llama-4-maverick vs gpt-5.1

deepseek-r1 vs llama-3.1-405b

mistral-large vs llama-3.3-70b

grok-3 vs minimax-m3

nova-pro vs claude-3-7-sonnet

glm-5.2 vs mistral-large

gemini-2.5-pro vs claude-opus-4-6

claude-opus-4-6 vs gemini-3-pro

grok-4 vs claude-3-7-sonnet

llama-3.1-405b vs grok-4

gpt-4.1-mini vs gpt-oss-20b

gemini-2.5-pro vs kimi-k2-thinking

llama-4-maverick vs claude-sonnet-4-6

gpt-5 vs grok-4

gpt-4.1 vs claude-haiku-4-5

gpt-4o vs o3-mini

claude-opus-4-6 vs claude-sonnet-5

mistral-large vs gpt-oss-20b

glm-5.2 vs gpt-oss-120b