# Crosmos MCP Server

> Use this tool when you need to efficiently store and retrieve memories with advanced semantic search capabilities. It solves problems related to information retrieval, entity recognition, and relationship extraction, enabling use cases such as knowledge graph construction and content analysis. The Crosmos MCP Server takes in content and outputs structured memories with extracted entities and relations, ideal for applications requiring intelligent data management and search.

Canonical page: https://skillsregistry.net/skills/crosmos-labs-crosmos-mcp  
JSON: https://api.skillsregistry.net/v1/skills/crosmos-labs-crosmos-mcp

## Description

MCP server for the Crosmos memory layer, enabling semantic, keyword, and graph retrieval of memories, as well as storing content with automatic entity and relation extraction.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bkd14l2t90)
- **Repository:** <https://github.com/crosmos-labs/crosmos-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": "crosmos-labs-crosmos-mcp"
    }
  }
}
```

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