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Spineframe

Spineframe

Local
spineframe.xyzAI & Agents0
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About Spineframe

Audit-grade runtime that gives AI agents auditable, signed provenance — every tool call, evidence item, and decision traced end-to-end.

Configuration

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

mcp.json · Universal config
{
  "mcpServers": {
    "spineframe": {
      "command": "uvx",
      "args": [
        "spineframe"
      ],
      "env": {
        "SPINEFRAME_RUNS_DIR": "<SPINEFRAME_RUNS_DIR>",
        "SPINEFRAME_CONFIG": "<SPINEFRAME_CONFIG>"
      }
    }
  }
}
Run commanduvx spineframe
Environment variables to set
SPINEFRAME_RUNS_DIRDirectory for storing run data and artifacts
SPINEFRAME_CONFIGPath to providers.json config file

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
pypispineframe1.1.2

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.

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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.