pulsemcp scanned Safe content atomic mcp-remote

Contentful Delivery

This MCP server implementation provides a bridge to Contentful's Delivery API, enabling AI assistants to interact with content managed in Contentful. Developed by mshaaban0, it offers tools for querying entries using keywords or sentences. The server is built using TypeScript and integrates with the Model Context Protocol SDK. It focuses on simplifying access to Contentful's content delivery capabilities, making it suitable for AI applications that need to retrieve and work with structured content from Contentful. The implementation is designed for easy setup within the Claude Desktop environment and is particularly useful for content-driven applications, dynamic websites, or any scenario requiring AI-assisted content management and delivery.

Cognium trust score

65%

Tier

Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: other
Source: PulseMCP
Repository: github.com/mshaaban0/contentful-delivery-mcp
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Contentful Delivery 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"