Agentplace - Agents with APIs and Custom Skills

Build, sell, and scale agents for Claude and beyond

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Updated Jul 2026 · Added Jul 2026

agentplace.io

Ai Model OrchestrationFreeai-model-orchestration

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What is Agentplace?

Agentplace is a platform for building, publishing, and scaling AI agents that work within Claude Code, Cursor, Codex, and other AI environments. Developers connect any API, database, or service via MCP (Model Context Protocol) to create custom agents with pre-built or custom skills. The platform includes built-in testing, deployment, usage analytics, and feedback loops to help teams iterate and improve their agents based on real user data.

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Key Features of Agentplace

Agent builder with prompt and tools interface
MCP (Model Context Protocol) integration for APIs and databases
Pre-built skills and custom skill creation
Built-in agent testing environment
Private team or public deployment options
Publish to Claude Code, Cursor, Codex and other environments
Usage analytics and user feedback tracking
Iteration loop based on real usage data

Who Should Use Agentplace?

Build custom agents for internal team workflows

Publish agents for public use in AI coding environments

Create specialized agents for specific business processes

Scale agent capabilities across multiple platforms

Monitor agent performance and user interactions

Agentplace: Pros & Cons

✓Pros

Deploy agents in seconds without complex infrastructure
Test agents before shipping to catch issues early
Real usage data and feedback from actual users
Supports multiple deployment targets (Claude Code, Cursor, Codex)
Flexible integration with any API or database via MCP
Iteration loop to continuously improve agents based on real data

Frequently Asked Questions about Agentplace

What is Agentplace?

Agentplace is a platform for building, publishing, and scaling AI agents that work in Claude Code, Cursor, Codex, and other AI environments.

How do I connect external services to my agent?

You can connect any API, database, or service via MCP (Model Context Protocol). Agentplace provides pre-built skills or you can build your own.

Can I test my agent before publishing?

Yes, Agentplace includes a built-in testing environment where you can run your agent, see what breaks or works, and make adjustments before shipping.

Where can I publish my agent?

You can publish agents privately for your team or publicly for anyone to use within AI coding environments like Claude Code and Codex.

How do I improve my agent after launch?

Agentplace provides usage analytics and user feedback so you can see who is using your agent, what is failing, and what users are asking for, enabling fast iteration.