mcpField
A
AgentDesk MCP

AgentDesk MCP

Local
github.com/Rih0zDeveloper Tools0
Repository

About AgentDesk MCP

Adversarial AI review API — independent AI reviews another AI's output. Stop LLMs from grading their own homework. Provides automated quality assurance for AI-generated code, content, and other outputs through independent review pipelines.

#ai#quality-assurance#code-review#developer-tools#mcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "agentdesk": {
      "command": "npx",
      "args": [
        "-y",
        "@ezark-publish/agentdesk-mcp"
      ]
    }
  }
}
Run commandnpx -y @ezark-publish/agentdesk-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@ezark-publish/agentdesk-mcp

Tools

4

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
outputstringYesThe AI-generated output to review (max 100K chars)
criteriastringNoCustom review criteria — what specifically to check for
review_typestringNoReview category label (e.g., "code", "content", "factual", "translation")
modelstringNoReviewer model ID (default: claude-sonnet-4-6)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.