LunarCrush MCP

Endpoint

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• list — List of social topics within a category sorted and filtered by available metrics and sectors.
• topic — Summary snapshot of all social metrics and insights for any social topic, keyword, cryptocurrency, or stock.
• topic_time_series — Historical time-series metrics for a social topic, keyword, cryptocurrency, stock, or custom search.
• topic_posts — Top social posts by interactions for a given time period for a topic.
• keyword_time_series — Historical time-series social metrics for any keyword or phrase (exact keyword/phrase analytics).
• keyword_posts — Top social posts by interactions for a given time period for a keyword.
• creator — Creator summary snapshot of social metrics and insights for a social media account.
• creator_posts — Top social posts for a specific social media account by unique id or screen name and time period.
• creator_time_series — Historical time-series metrics for a social media account by unique id or screen name.
• post — Social post details; post ids can be inferred from the public URL link to the post.
• cryptocurrencies — List of cryptocurrencies sorted by available metrics and filtered by a sector.
• stocks — List of stocks sorted by available metrics and filtered by a sector.
• search — Search for any keyword or account; returns matching topics, creator accounts, and top social posts.
• fetch — Fetch a lunarcrush.ai context using a specific path like /topic/bitcoin or /topic/bitcoin/posts.
• auth — Get subscription and rate-limit information; optionally provide an API key to test.

About MCP

The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.

Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.

Work with this as data

Every MCP server here is available over the APIs.io API and to AI agents over MCP.

curl "https://apis.io/api/v1/mcp/lunarcrush-mcp"

curl "https://apis.io/api/v1/mcp?limit=25"