# consciousness MCP server

> Use this tool when you need to enhance semantic search capabilities and manage long-term memory for AI applications, solving problems related to information retrieval and knowledge retention. It provides a pluggable vector memory server with session-scoped and universal memory tools, accepting input data and outputting relevant search results. Ideal for use cases requiring advanced data retrieval and memory management, such as natural language processing and machine learning models.

Canonical page: https://skillsregistry.net/skills/one710-consciousness  
JSON: https://api.skillsregistry.net/v1/skills/one710-consciousness

## Description

A pluggable vector memory server for semantic search and long-term memory, with session-scoped and universal memory tools.

## 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:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m8ze8fc3zl)
- **Repository:** <https://github.com/one710/consciousness>

## 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": "one710-consciousness"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/one710-consciousness` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/one710-consciousness/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