pulsemcp Safe content atomic mcp-remote

Redis

This MCP server implementation, developed by Anthropic, provides a collection of specialized servers for various data sources and services. It includes integrations for Google Drive, PostgreSQL databases, Slack, Brave Search, filesystem access, and more. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a standardized way for AI models to interact with diverse external systems and data. The implementation focuses on modularity, allowing users to selectively deploy servers based on their specific needs. It enables use cases like document retrieval, database querying, web search, and inter-application communication, making it particularly useful for enhancing AI assistants with real-world data access and action capabilities.

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.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/modelcontextprotocol/servers-archived/tree/HEAD/src/redis
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve Redis 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"