pulsemcp Safe content atomic mcp-remote

myAI Memory

myAI Memory Sync is an MCP server that synchronizes personal memory templates across different Claude interfaces, including Claude Desktop, Claude Web, and Windsurf. Built with TypeScript, it provides tools for retrieving, updating, and managing structured memory sections through both stdio and HTTP transports. The implementation features robust error handling, emergency synchronization capabilities, and natural language parsing to convert unstructured text into formatted template sections. It's particularly valuable for maintaining consistent user preferences, personal information, and response styles across multiple AI platforms without manual copying.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: other
Source: PulseMCP
Repository: github.com/jktfe/myaimemory-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve myAI Memory from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"