Data · Local MCP server

SpineFrame

Governance runtime for AI agents with signed provenance, compliance audits, and OSINT.

Visit SpineFrame's website

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.Ratnaditya-J/spineframe
Version
1.1.2
Status
Active
Category
data
Transport
stdio (local process)
Package
PyPI
Published
2026-03-19
Updated
2026-03-19
Publisher
Ratnaditya-J (GitHub)
Website
spineframe.xyz
Repository
github.com/Ratnaditya-J/spineframe
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxspineframe1.1.2stdioSPINEFRAME_RUNS_DIR, SPINEFRAME_CONFIG

How to connect SpineFrame

SpineFrame runs locally from a Python package published to PyPI: spineframe version 1.1.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx spineframe. It reads these environment variables: SPINEFRAME_RUNS_DIR and SPINEFRAME_CONFIG; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "spineframe": {
      "command": "uvx",
      "args": [
        "spineframe"
      ],
      "env": {
        "SPINEFRAME_RUNS_DIR": "<value>",
        "SPINEFRAME_CONFIG": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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