# sensefold-mcp

> sensefold-mcp — sensefoldlabs-sensefold-mcp. Use this tool when you need to unify personal context across multiple AI systems, enabling seamless read and write capabilities. It solves the problem of fragmented data by providing a centralized server that integrates with various AI agents through OAuth 2.1 or tiered Agent keys. Ideal for use cases requiring consistent data synchronization, such as git version control, to ensure AI systems access and update the same context.

Canonical page: https://skillsregistry.net/skills/sensefoldlabs-sensefold-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sensefoldlabs-sensefold-mcp

## Description

Sensefold MCP server: personal context every AI you use reads and writes back to. Remote, OAuth 2.1 or tiered Agent keys.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/SenseFoldLabs/sensefold-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": "sensefoldlabs-sensefold-mcp"
    }
  }
}
```

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

---
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