# Arca MCP

> Use this tool when you need to store and retrieve complex memories using natural language queries, and manage structured data with multi-tenant isolation and bucket-based organization. It solves problems related to semantic memory storage and retrieval, providing efficient data management and querying capabilities. Ideal for use cases requiring advanced data organization and retrieval, such as knowledge graph construction and question answering systems.

Canonical page: https://skillsregistry.net/skills/m0nochr0me-arca-mcp  
JSON: https://api.skillsregistry.net/v1/skills/m0nochr0me-arca-mcp

## Description

An MCP server providing semantic memory storage and retrieval using vector embeddings powered by LanceDB and Google Gemini. It supports multi-tenant isolation and bucket-based organization for managing structured memories through natural language queries.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lsy1xark83)
- **Repository:** <https://github.com/m0nochr0me/arca-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": "m0nochr0me-arca-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m0nochr0me-arca-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m0nochr0me-arca-mcp/pull`

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