# openmemory-rag-mcp

> Use this tool when you need to import and manage large amounts of knowledge into a centralized database, solving problems of data fragmentation and inaccessible information. The openmemory-rag-mcp tool takes in files, URLs, and text inputs, and outputs a searchable knowledge base, enabling efficient information retrieval and management. Ideal for use cases requiring centralized knowledge management, such as research, data analysis, and information archiving.

Canonical page: https://skillsregistry.net/skills/wxinghe-openmemory-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wxinghe-openmemory-rag-mcp

## Description

MCP server for importing documents into OpenMemory RAG knowledge base. Supports file uploads, URL imports, text ingestion, and knowledge base search.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a646xa3pew)
- **Repository:** <https://github.com/wXingHe/openmemory-rag-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": "wxinghe-openmemory-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wxinghe-openmemory-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wxinghe-openmemory-rag-mcp/pull`

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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