# @conxt/mcp

> @conxt/mcp — pgavali0318-conxt-mcp. Use this tool when you need to manage governed AI memory, proposing and approving memories with human oversight. It solves problems of data consistency and trustworthiness by allowing agents to propose memories and humans to approve them, with optional cloud synchronization for data backup and access. Ideal for use cases requiring transparent and controlled AI knowledge management, with inputs including proposed memories and human approvals, and outputs including validated AI memory.

Canonical page: https://skillsregistry.net/skills/pgavali0318-conxt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pgavali0318-conxt-mcp

## Description

Local-first MCP server for governed AI memory where agents propose memories and humans approve them, with optional cloud sync.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ylt367wlak)
- **Repository:** <https://github.com/pgavali0318/conxt-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": "pgavali0318-conxt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pgavali0318-conxt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pgavali0318-conxt-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