# MCP Embedding Storage Server

> Use this tool when you need to efficiently store and retrieve information based on semantic meaning, enabling intuitive searches and recommendations through natural language queries. It solves problems of complex data retrieval and similarity-based searches by utilizing vector embeddings and AI-generated content representations. The tool integrates with the AI Embeddings API, accepting content inputs and returning relevant search results and embeddings as outputs.

Canonical page: https://skillsregistry.net/skills/ricleedo-knowledge-embeddingapi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ricleedo-knowledge-embeddingapi-mcp

## Description

Enables storing and retrieving information using vector embeddings with semantic search capabilities. Integrates with the AI Embeddings API to automatically generate embeddings for content and perform similarity-based searches through natural language queries.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n1w1i6t2vf)
- **Repository:** <https://github.com/ricleedo/Knowledge-EmbeddingAPI-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": "ricleedo-knowledge-embeddingapi-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ricleedo-knowledge-embeddingapi-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ricleedo-knowledge-embeddingapi-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