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Agent platforms
Draft · pending editorial review Verified Oct 16, 2026 Review by Jan 14, 2027 3 sources
Short answer
Agent platforms run AI that acts. They read files, call tools and work through multi-step tasks, in an app (Claude, ChatGPT, Gemini), in an editor (Cursor) or in a terminal. Judge them on their harness: which tools and connectors they can use, how permissions work, and how you review their work.
What it is
The layer where AI does work rather than only answering. In our directory these are the tools marked agent platform. All of them except Grok, which is still to verify, can use MCP servers, so the agent-ready tools in your stack plug straight in.
How it works
The platform supplies the harness: tools, file access, connectors, memory and a loop. You give it a goal and access. It plans, acts and reports back. Our tool pages list which MCP servers each platform can use.
Benefits
- Real actions in your systems, through connectors.
- Reuse. One platform can work across your whole stack.
- Choosing one. Start with the platform your team already uses as its assistant. Then check three things on its tool page: MCP client support, how permissions are granted, and whether you can review actions before they run.
Limits and risks
- Access is the risk. Set permissions before connecting (see acting safely).
- Harness quality varies more than model quality. Trial each platform on your own tasks.
Best-fit stacks
Ops & admin automation
Hand repeat admin (receipts, logs, notices, handoffs) to workflows your agent can trigger.
Research & market intelligence
Competitor, market and search research with sources you can cite.
Agent compatibility
| Tool in this entry | How agents connect |
|---|---|
| Claude | Agent platform API/CLIBulk import |
| ChatGPT | Agent platform API/CLIBulk import |
| Gemini (Google) | Agent platform API/CLIBulk import |
| Cursor | Agent platform API/CLI |
| Grok | Agent platform API/CLI Bulk import? |
| Grok Bot | Agent platform Browser-onlyBulk import |
| OpenAI Codex | Agent platform API/CLI |
| Google Antigravity | Agent platform API/CLI |
Levels come from each tool's recorded, sourced compatibility. How the levels work.
Related entries
Agent harness · ConceptAI agent · ConceptModel Context Protocol (MCP) · ConceptI need an AI agent to take actions without risking our systems · NeedAI assistants · ServiceWhich AI platform should I use for what? · QuestionWhat is Grok Bot? · QuestionHow do I connect a business tool to my AI agent? · QuestionI need to hand off a whole area of work, not just tasks · Need
Sources
- What is the Model Context Protocol (MCP)? · MCP projectofficial accessed Oct 16, 2026
- Post on harness and UX limiting model capability · Ethan Mollick, 2026-03-03Practitioner view accessed Oct 16, 2026
- Post on agentic loops as permissions design · Simon Willison, 2025-10-01Practitioner view accessed Oct 16, 2026
Practitioner views are restated in our words and labeled as views, not measured results. Product facts come from official sources dated above.
To verify before publishing
- Grok MCP-client support
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