mcpField
Z
ZPL Engine MCP (discontinued)

ZPL Engine MCP (discontinued)

Local
github.comFinance0Updated 23w ago
RepositoryVisit website

About ZPL Engine MCP (discontinued)

ZPL Engine MCP was an MCP server connecting compatible clients to the Zero Point Logic Engine for stability and neutrality analysis. Its tools covered areas including finance, games, AI, security, and crypto, but the project is discontinued and its backend is offline.

Key features

  1. 01Stability and neutrality analysis across domains
  2. 02Finance, gaming, and crypto analysis
  3. 03Text-bias and AI evaluation tools
  4. 04Archived with its backend offline

Use cases

  1. 01Checking market and portfolio stability
  2. 02Reviewing game economies and loot fairness
  3. 03Evaluating text balance and AI responses

MCP support

It connected MCP-compatible clients to analysis tools from the Zero Point Logic Engine API. The project is discontinued and the service it used is offline, so it no longer works.

#finance#gaming#ai-fairness#bias-detection#crypto#security#neutrality#stability#risk-analysis#portfolio

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "zpl-engine": {
      "command": "npx",
      "args": [
        "-y",
        "zpl-engine-mcp"
      ],
      "env": {
        "ZPL_API_KEY": "<ZPL_API_KEY>"
      }
    }
  }
}
Run commandnpx -y zpl-engine-mcp
Environment variables to set
ZPL_API_KEYSecret

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
npmzpl-engine-mcp

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.