HyperStore

HyperStore is a remote MCP server: there is nothing to install. Its endpoint is https://mcp.store.hypergpt.ai/mcp, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.

It also lists an endpoint on the older SSE transport https://mcp.store.hypergpt.ai/sse. Clients that support remote servers generally still accept SSE endpoints, though the protocol now favours Streamable HTTP.

No headers are declared in the registry entry. If the server needs you to sign in, a client that supports MCP authorization opens the service's own sign-in page when it first connects.

It can also run locally from a Python package published to PyPI: hyperstore-mcp version 0.1.1. 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 hyperstore-mcp.

It can also run locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/deficlow/hyperstore-mcp:0.1.1. The package starts a local server that speaks MCP over Streamable HTTP; the client then connects to it by URL.

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

{
  "mcpServers": {
    "hyperstore-mcp": {
      "command": "uvx",
      "args": [
        "hyperstore-mcp"
      ]
    }
  }
}

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