Spomory MCP Server

Explainable graph-retrieval memory engine with an RL-trained management policy.

Local + remotestreamable-httpstdio

What is the Spomory MCP Server?

Spomory is an MCP integration. Explainable graph-retrieval memory engine with an RL-trained management policy.

Hosted connection

The registry lists a streamable-http connection at https://api.yliuai.com/mcp.

The registry lists a streamable-http connection at https://api.yliuai.com/mcp-apikey. The endpoint declares these request headers: x-api-key.

Packages and local setup

The published pypi package is spomory, version 0.3.1. Its declared MCP transport is stdio.

The package declares LLM_API_KEY (required): API key for an OpenAI-compatible LLM provider, used for entity/relation extraction; LLM_BASE_URL: OpenAI-compatible base URL; LLM_MODEL: Model name for extraction.

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 0.3.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related developer tools MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
LLM_API_KEYAPI key for an OpenAI-compatible LLM provider, used for entity/relation extractionYes
LLM_BASE_URLOpenAI-compatible base URLCheck documentation
LLM_MODELModel name for extractionCheck documentation