mcpField
A
agentmark-ai

agentmark-ai

Local
github.com/agentmark-aiAI & Agents
Repository

About agentmark-ai

Inspect AgentMark traces and drive AgentMark Cloud: apps, experiments, metrics, deployments.

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "agentmark-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@agentmark-ai/mcp-server"
      ],
      "env": {
        "AGENTMARK_API_KEY": "<AGENTMARK_API_KEY>",
        "AGENTMARK_API_URL": "<AGENTMARK_API_URL>"
      }
    }
  }
}
Run commandnpx -y @agentmark-ai/mcp-server
Environment variables to set
AGENTMARK_API_KEYSecretApp-scoped API key for CI/automation. Optional — you can instead authenticate with the session bearer written by `agentmark login`.
AGENTMARK_API_URLAgentMark gateway base URL.

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@agentmark-ai/mcp-server0.4.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

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

Comments

Markdown supported

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.