mcpField
A

APIThreshold

Local
apithreshold.aiDeveloper Tools
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About APIThreshold

Quality scoring and progressive gates for AI-generated API tests. Stripe/Twilio profiles. Free tier

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "ai-apithreshold-apithreshold": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "APITHRESHOLD_LLM_PROVIDER",
        "-e",
        "OPENAI_API_KEY",
        "-e",
        "ANTHROPIC_API_KEY",
        "-e",
        "APITHRESHOLD_LICENSE",
        "ghcr.io/apithreshold/apithreshold:0.1.0"
      ],
      "env": {
        "APITHRESHOLD_LLM_PROVIDER": "<APITHRESHOLD_LLM_PROVIDER>",
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "ANTHROPIC_API_KEY": "<ANTHROPIC_API_KEY>",
        "APITHRESHOLD_LICENSE": "<APITHRESHOLD_LICENSE>"
      }
    }
  }
}
Run commanddocker run -i --rm -e APITHRESHOLD_LLM_PROVIDER -e OPENAI_API_KEY -e ANTHROPIC_API_KEY -e APITHRESHOLD_LICENSE ghcr.io/apithreshold/apithreshold:0.1.0
Environment variables to set
APITHRESHOLD_LLM_PROVIDERLLM provider to use: openai or anthropic.
OPENAI_API_KEYSecretRequired when APITHRESHOLD_LLM_PROVIDER=openai.
ANTHROPIC_API_KEYSecretRequired when APITHRESHOLD_LLM_PROVIDER=anthropic.
APITHRESHOLD_LICENSESecretOptional license JWT. Omit for Free tier.

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
ocighcr.io/apithreshold/apithreshold:0.1.0

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

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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.