pulsemcp verified Safe content atomic mcp-remote

Pocket

This MCP server integrates with the Pocket API, allowing AI assistants to interact with users' saved articles. Developed by kazuph, it enables fetching unread articles and marking them as read through natural language commands. The TypeScript implementation uses the Model Context Protocol SDK and Zod for robust type checking. It's designed for Pocket users who want to incorporate AI assistance into their reading workflow, enabling tasks like summarizing saved articles, prioritizing reading lists, or analyzing reading habits through conversational interfaces.

Cognium trust score

100%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/kazuph/mcp-pocket
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Pocket 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"