Santiment
Crypto market intelligence: social sentiment, on-chain, trending narratives & analyst insights.
Connect it
Settings → Connectors → Add custom connector
URL: https://api.santiment.net/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://api.santiment.net/mcp{
"mcpServers": {
"santiment-mcp": {
"url": "https://api.santiment.net/mcp"
}
}
}claude mcp add --transport http santiment-mcp https://api.santiment.net/mcp{
"servers": {
"santiment-mcp": {
"type": "http",
"url": "https://api.santiment.net/mcp"
}
}
}8 tools, verified live
assets_by_metric_toolread-onlyA powerful metrics-based project filtering and sorting tool that works with cryptocurrency assets based on their metrics and allows for ordered, paginated results. The tool allows for filtering assets by a metric and sorting them according to that same metric in ascending or descending metric, or just to sort the assets by a metric without filtering. This tool allows you to discover projects tha
combined_trends_toolread-onlyCombined trends tool that fetches trending words, stories, and documents in parallel. This tool provides a unified view of all trending data - words with their documents and stories - in a single response across all crypto projects. ## When to use vs `trending_stories_tool` This is a superset of `trending_stories_tool`: same stories, plus trending words, their context and AI-generated bull/bear
fetch_insights_toolread-onlyFetch full text content for specific santiment crypto insights IDs
fetch_metric_data_toolread-onlyFetch metric timeseries for one metric and one or many slugs, or for a text search term. Defaults: last 30 days (time_period="30d"), interval="1d". Pass `text` instead of `slugs` to get a social metric for any word or phrase (e.g. how often "sold" was mentioned), not just for an asset. Use this when the assets are already known and the values over time matter. For the opposite direction — "whic
insight_discovery_toolread-onlyList Santiment insights (analyst-written crypto articles) published in a lookback window. Returns metadata only — id, title, tags, author, link, published_at, prediction — never the article body. ## When to use - The user asks what Santiment analysts have written or published recently. - As step 1 of a two-step read: discover ids here, then pass them to `fetch_insights_tool` for the full text.
metrics_and_assets_discovery_toolread-onlyCatalog lookup: which metrics and which crypto assets (slugs) Santiment supports, and whether a given metric exists for a given asset. Returns names and metadata only — it never returns metric values or timeseries. ## When to use - Resolve a name before any data call: turn "Ethereum" into the slug `ethereum`, or "active addresses" into the metric `daily_active_addresses`. - Check availability
show_chartread-onlyRender a Santiment chart with an asset's price (OHLC) plus an optional overlay metric in a second pane. The widget that consumes this tool is built on the Santiment chart library (lightweight-charts under the hood), so the response is render-ready — the client just feeds each `series` entry into the chart unchanged. ## Parameters - `slug` — asset slug (e.g. `bitcoin`, `ethereum`). Defaults to `b
trending_stories_toolread-onlyFetch current trending crypto stories with sentiment analysis ## When to use vs `combined_trends_tool` Prefer this tool when only stories are needed: it is the cheap, fast path and has no per-tool rate-limit sub-cap. `combined_trends_tool` is a superset — same stories plus trending words, their context and AI-generated bull/bear summaries — but it calls an LLM, so it is slower and capped much lo
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