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Connect Santiment On Chain Social Dev Metrics For to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Pull real-time on-chain and social data through your AI agent.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Santiment.

  1. 01

    Filter projects by metric

    This capability filters crypto projects based on specific metric thresholds. Use it to find assets that meet your exact criteria for growth or activity.

  2. 02

    Get metric multiple slugs

    This capability fetches timeseries data for a single metric across several different asset slugs. It is the fastest way to compare performance between multiple tokens.

  3. 03

    Get metric timeseries

    This capability retrieves historical timeseries data for a specific metric and a single asset slug. You'll need the correct project slug to pull the data.

  4. 04

    List projects

    This capability provides a list of all available Santiment projects along with their names and slugs. Use this to find the right identifier for your queries.

Real work

What teams actually run

01

Hypothesis Validation

An analyst asks the agent to check if a price spike correlates with an increase in active addresses.

02

Sentiment Monitoring

A trader tracks social volume spikes to catch momentum before it hits the mainstream.

03

Ecosystem Health Checks

A developer monitors dev activity to see if a protocol is gaining or losing technical momentum.

04

Opportunity Hunting

A user filters for projects with high developer activity but low current price action.

Automate a task

Put Santiment to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Santiment works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Santiment to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

847ms average. Fast in production.

Santiment is checked daily against the live service.

Daily averagePeak 991ms
Oct 11Today
Fastest day
775ms
Slowest day
991ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Santiment, so you can see the experience inside your AI.

It does not authenticate your account with Santiment. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Santiment Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_lXyON1L6wtQgaeruZtinO8oIBvP6cWovncrWG00Q/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Santiment capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "santiment-on-chain-social-dev-metrics-for-crypto-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_lXyON1L6wtQgaeruZtinO8oIBvP6cWovncrWG00Q/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Santiment in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Santiment owners hand off.

This MCP is built for professionals who need to turn raw crypto data into quick, actionable intelligence.

  • 01

    Crypto Analysts

    They use the agent to validate market hypotheses using on-chain data instead of manual queries.

  • 02

    Traders

    They monitor social sentiment and whale movements across multiple assets at once.

  • 03

    Web3 Developers

    They track protocol development and network health directly from their IDE.

FAQ

Questions Santiment owners ask.

  • 01

    How do I use Santiment with Claude?

    You connect the Santiment MCP to Claude through the Vinkius platform. Once connected, you can ask Claude to pull any Santiment metric using natural language.

  • 02

    Do I need to know GraphQL to use this?

    No. This MCP translates your natural language requests into the necessary data calls, so you don't have to write any code or queries.

  • 03

    Can I compare multiple cryptocurrencies at once?

    Yes. You can ask your agent to compare metrics like social volume or price for multiple asset slugs in a single prompt.

  • 04

    What kind of data does this MCP provide?

    It provides on-chain data, social sentiment metrics, and developer activity metrics for thousands of crypto projects.

  • 05

    How do I find the correct slug for a coin?

    You can use the list_projects capability to find the exact name and slug for any project in the Santiment database.

  • 06

    How can I find the correct slug for a specific cryptocurrency?

    You can use the list_projects capability. It provides a paginated list of all available assets and their corresponding slugs used for metric queries.

  • 07

    Can I compare the price of multiple assets at once?

    Yes! Use the get_metric_multiple_slugs capability. Just provide the metric (e.g., 'price_usd') and an array of slugs to get a combined timeseries for comparison.

  • 08

    Is it possible to find projects based on their network activity levels?

    Absolutely. Use the filter_projects_by_metric capability to find projects that meet specific criteria, such as having more than 1000 daily active addresses over a certain period.

Explore

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