MCP server

Santiment Official

io.github.santiment/santiment-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Crypto market intelligence: social sentiment, on-chain, trending narratives & analyst insights.

Working at last checkOfficial: santiment.net's GitHub account (santiment)About 6,481 tokens per request once connected8 tools

Website

https://api.santiment.net/mcp

At a glance

Type: MCP server
Publisher: santiment.net (verified by the MCP Registry)
Status: Working at last check
Tools: 8
Token cost: About 6,481 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http santiment-mcp https://api.santiment.net/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.santiment-mcp]
url = "https://api.santiment.net/mcp"

Gemini CLI

{"mcpServers":{"santiment-mcp":{"httpUrl":"https://api.santiment.net/mcp"}}}

Cursor

{"mcpServers":{"santiment-mcp":{"url":"https://api.santiment.net/mcp"}}}

VS Code

{"servers":{"santiment-mcp":{"type":"http","url":"https://api.santiment.net/mcp"}}}

Antigravity

agy mcp add santiment-mcp https://api.santiment.net/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"santiment-mcp","server_url":"https://api.santiment.net/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"santiment-mcp","server_url":"https://api.santiment.net/mcp"}

Tools

assets_by_metric_tool ~2083 tokens
A 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 j
combined_trends_tool ~804 tokens
Combined 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
fetch_insights_tool ~105 tokens
Fetch full text content for specific santiment crypto insights IDs
fetch_metric_data_tool ~877 tokens
Fetch 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 w
insight_discovery_tool ~705 tokens
List 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
metrics_and_assets_discovery_tool ~847 tokens
Catalog 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
show_chart ~510 tokens
Render 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
trending_stories_tool ~550 tokens
Fetch 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 co

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