# Solution Memory MCP Server

> Use this tool when you need to capture and search for problem-solving solutions across multiple projects, leveraging automated solution memory for efficient knowledge retrieval. It solves the problem of knowledge fragmentation and repetitive solution searching, supporting hybrid search and offline storage. Ideal for use cases where project knowledge needs to be retained and reused, with inputs of project data and outputs of relevant solution searches.

Canonical page: https://skillsregistry.net/skills/owennet-solution-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/owennet-solution-memory-mcp

## Description

跨项目问题解决方案记忆系统，自动捕获和搜索解决方案，支持混合搜索和离线存储。

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kswtovgvi4)
- **Repository:** <https://github.com/owennet/solution-memory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "owennet-solution-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/owennet-solution-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/owennet-solution-memory-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt