pulsemcp Safe content atomic mcp-remote

ServeMyAPI (macOS Keychain)

ServeMyAPI is a macOS-specific MCP server that securely stores and retrieves API keys using the native macOS Keychain. Developed by James King, it solves the common problem of managing sensitive credentials across multiple projects without exposing them in .env files. The server provides tools for storing, retrieving, listing, and deleting API keys through a consistent interface, making them accessible to AI assistants via natural language requests. This implementation is particularly valuable for developers who want to maintain security while allowing their AI tools to access necessary API credentials without manual intervention.

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: security
Source: PulseMCP
Repository: github.com/jktfe/servemyapi
Author type: human
Updated: 2026-04-25

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MCP

Resolve ServeMyAPI (macOS Keychain) 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"