mcpField
I
Inferra

Inferra

Local
ai-rete-rag.comAI & Agents
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About Inferra

Auditable rule-based decisions with RAG explanations: a Rete engine decides, an LLM explains why

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "zaharajabeen13-create-inferra": {
      "command": "uvx",
      "args": [
        "inferra-mcp"
      ],
      "env": {
        "INFERRA_API_KEY": "<INFERRA_API_KEY>",
        "INFERRA_API_URL": "<INFERRA_API_URL>"
      }
    }
  }
}
Run commanduvx inferra-mcp
Environment variables to set
INFERRA_API_KEYSecretYour Inferra API key (create one at ai-rete-rag.com under Settings -> API Keys). Authenticates calls and ties them to your plan quota.
INFERRA_API_URLAPI base URL. Defaults to https://ai-rete-rag.com; override for local development.

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
pypiinferra-mcp0.1.1

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.