Use Agent Platform's MCP Server

Agent Platform exposes its features through a Model Context Protocol (MCP) server. Your AI assistant can connect to the platform and perform platform operations to let you build, evaluate, optimize, debug, and analyze agents. A few common tasks include:

Creating and editing projects, agents, and tools
Running evaluations
Inspecting live sessions and traces
Diagnosing failures

You can perform all these operations from the platform UI as well. However, by using MCP server, you can perform these tasks from within your IDE, command-line, or terminal, without context-switching. To use the MCP server, you install @koreai/arch-mcp-tools and configure your AI assistant.

Prerequisites

Node.js 18 or later — We recommend LTS version. The server starts using npx command.
Access to Agent Platform account. Authenticate when you connect to it for the first time.
MCP-compatible client.

Install and Configure

The server (@koreai/arch-mcp-tools) is a standard stdio MCP server. The clients launch it using the command: npx -y @koreai/arch-mcp-tools. In your client’s config, you add it as a server named: arch-agent-platform. Provide the environment URL in one of the following ways:

In the configuration file, add as value of AGENTS_URL parameter in the env.
Pass serverUrl to platform_connect.
On the first use, the tool asks you for the environment.

Example: Add to Claude Code

claude mcp add arch-agent-platform -- npx -y @koreai/arch-mcp-tools

Or add it to .mcp.json (project) or ~/.claude.json (global):

{
  "mcpServers": {
    "arch-agent-platform": {
      "command": "npx",
      "args": ["-y", "@koreai/arch-mcp-tools"],
      "env": {
        "AGENTS_URL": "https://example.com"
      }
    }
  }
}

Example: Add to Cursor Add to .cursor/mcp.json (project) or ~/.cursor/mcp.json (global):

{
  "mcpServers": {
    "arch-agent-platform": {
      "command": "npx",
      "args": ["-y", "@koreai/arch-mcp-tools"],
      "env": {
        "AGENTS_URL": "https://example.com"
      }
    }
  }
}

Example: Add to VS Code to Use GitHub Copilot Add to .vscode/mcp.json. The top-level key is servers (not mcpServers):

{
  "servers": {
    "arch-agent-platform": {
      "command": "npx",
      "args": ["-y", "@koreai/arch-mcp-tools"]
    }
  }
}

Example: Add to Codex CLI

codex mcp add arch-agent-platform -- npx -y @koreai/arch-mcp-tools

Or add to ~/.codex/config.toml — note this is TOML, not JSON:

[mcp_servers.arch-agent-platform]
command = "npx"
args = ["-y", "@koreai/arch-mcp-tools"]

Any other MCP client Configure a stdio server with command npx and args ["-y", "@koreai/arch-mcp-tools"]. Optionally, set an AGENTS_URL variable to pin an environment. Alternatively, use a version of the following prompt in your AI coding tool’s chat for it to do the configuration.

Add an MCP server named `arch-agent-platform` that runs `npx -y @koreai/arch-mcp-tools`, and put it in this project's MCP config.
Config location by tool — Claude Code: `.mcp.json` (`mcpServers`) · Cursor: `.cursor/mcp.json` (`mcpServers`) · VS Code: `.vscode/mcp.json` (`servers`) · Codex: `~/.codex/config.toml` (`[mcp_servers.arch-agent-platform]`).
Optionally set `AGENTS_URL` to my environment.

Authenticate

Authentication is automatic when you call platform_connect — it tries, in order:

Explicit token — pass an authToken parameter.
Stored credentials — reads the same encrypted credential store used by kore-platform-cli login.
Device authorization — opens your browser and polls until approval completes in the same platform_connect call.

Credentials are stored securely and reused in future sessions.

Use MCP Server

The server’s name as available in the clients is arch-agent-platform and its tools are prefixed with platform_ and debug_. These tools are grouped by functional area.

Arch Build

Create and change platform projects, agents, tools, configuration, versions, deployments, and imports.

Tool	Description
`platform_projects`	Manage projects (list, get, create, update, delete)
`platform_agents`	Manage agents (list, get, save_dsl)
`platform_versions`	Manage agent versions (list, create, get, promote, diff)
`platform_deployments`	Manage deployments (list, create, get, retire, rollback)
`platform_tools`	Manage tools (list, get, create, update, delete, test)
`platform_import_export`	Import and export projects
`platform_config`	Manage project and LLM configuration
`platform_workspaces`	List, switch, and inspect active workspaces

Arch Evaluate

Generate eval assets, run eval workflows, and read CI evidence.

Tool	Description
`platform_eval_personas`	Manage and generate eval personas
`platform_eval_scenarios`	Manage and generate eval scenarios
`platform_eval_evaluators`	Manage eval evaluators and templates
`platform_eval_sets`	Manage eval sets
`platform_eval_runs`	Manage eval runs, preflight, cases, and heatmaps
`debug_harness_logs`	Get CI execution logs

Arch Optimize

Validate packages, inspect compiler-visible models, and drive repair loops.

Tool	Description
`platform_validate_package`	Validate a local package and optional import preview
`platform_package_model`	Show compiler-visible agents, tools, constraints, refs, and diagnostics
`debug_lint_abl`	Run ABL repair and design lint checks
`debug_why_transcript_failed`	Correlate transcript symptoms with ABL file/line causes
`debug_diagnose_transcript`	Alias for transcript failure diagnosis

Arch Debug

Connect to live sessions, trace failures, and inspect execution state.

Tool	Description
`platform_connect`	Connect and authenticate to the platform
`debug_list_agents`	List available agents by domain
`debug_load_agent`	Load an agent and create a debug session
`debug_send_message`	Send a message to an agent
`debug_get_current_state`	Inspect agent context, gather progress, flow state
`debug_traces`	Search trace events (type, text, agent, error)
`debug_get_span_tree`	View hierarchical execution flow
`debug_explain_decision`	Explain agent decisions with context
`debug_get_flow_graph`	View state machine graph (JSON or Mermaid)
`debug_get_errors`	Get errors, warnings, and escalations
`debug_list_active_sessions`	List observable sessions
`debug_session`	Subscribe/unsubscribe to session traces

Arch Analyze

Explain documentation, diagnostics, and system health signals.

Tool	Description
`debug_docs`	Get or search ABL documentation
`debug_diagnose`	Diagnose agent config and execution issues
`debug_analyze_session`	Automated session diagnostics

Get Started

Build

Test and Evaluate

Deploy

Analytics and Insights

Administration

References

Use Agent Platform's MCP Server

Prerequisites

Install and Configure

Authenticate

Use MCP Server

Arch Build

Arch Evaluate

Arch Optimize

Arch Debug

Arch Analyze

​Prerequisites

​Install and Configure

​Authenticate

​Use MCP Server

​Arch Build

​Arch Evaluate

​Arch Optimize

​Arch Debug

​Arch Analyze

Prerequisites

Install and Configure

Authenticate

Use MCP Server

Arch Build

Arch Evaluate

Arch Optimize

Arch Debug

Arch Analyze