pulsemcp Safe content atomic mcp-remote

Pluggo

Pluggo's MCP integration connects AI assistants like Claude Desktop, Cursor, and Claude Code to real-time social media data across LinkedIn, Twitter/X, Reddit, Hacker News, and Bluesky platforms. The implementation provides multiple MCP servers for each platform, with LinkedIn offering exclusive email extraction capabilities on the Growth plan, enabling AI workflows to access profile data, conversation monitoring, community insights, and social intelligence without context switching. Designed for sales teams, marketers, and developers who need to incorporate social listening, prospect research, and trend analysis directly into their AI assistant workflows.

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: communication
Source: PulseMCP
Author type: human
Updated: 2026-04-25

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MCP

Resolve Pluggo 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"