smithery Safe content atomic container

LunarCrush AI MCP Server

Provides real-time access to LunarCrush AI data and analytics through a secure MCP interface. Enable seamless integration of LunarCrush's market and social data into your applications using HTTP or stdio transports. Get current real-time metrics and social content to compare against any historical metrics and social posts to help find tradable signals and alpha. This is not an API wrapper MCP Server. All of the tools and resources provide LLM optimized outputs that provide more accurate context using far less tokens than JSON based outputs.

Cognium trust score

30%

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. Last scanned 2026-08-24.

Scan details: Circle-IR · 2026-08-24 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: ai-ml
Source: Smithery
Author type: human
Last scanned: 2026-08-24
Updated: 2026-08-24

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MCP

Resolve LunarCrush AI MCP Server 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"