Vinkius
MCP Server

Santiment MCP for AI. Analyze On-Chain, Social, and Dev Metrics

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Santiment (On-chain, Social & Dev Metrics for Crypto) MCP on Cursor AI Code EditorSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Claude Desktop AppSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on OpenAI Agents SDKSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Visual Studio CodeSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on GitHub Copilot AI AgentSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Google Gemini AISantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Lovable AI DevelopmentSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Mistral AI AgentsSantiment (On-chain, Social & Dev Metrics for Crypto) MCP on Amazon AWS Bedrock

How this MCP server connects to your AI agent

Santiment (On-chain, Social & Dev Metrics for Crypto) connects deep market data directly to your AI agent. You can track historical performance metrics (like daily active addresses or price changes), compare multiple crypto assets side-by-side, and screen the entire market for specific development or activity thresholds.

It lets you get institutional-grade crypto intelligence without writing complex API calls.

What AI agents can do with Santiment (On-chain, Social & Dev Metrics for Crypto) Automation

Filter projects by metric

Screens the market to find projects that meet a defined metric threshold (e.g., top 10 by DAA).

Get metric multiple slugs

Fetches time-series data for one specific metric across multiple crypto asset slugs.

Get metric timeseries

Retrieves historical time-series data for a single metric and a single asset slug over a period of time.

+ 1 more capabilities included
Find available asset slugs

Runs through all projects and returns a list of valid identifiers needed for metric queries.

Track historical metrics for one asset

Retrieves time-series data (like daily active addresses or price) for a specific crypto slug over a user-defined date range.

Compare multiple assets at once

Fetches the same metric's historical data across several different asset slugs in a single request.

Filter projects by specific thresholds

Screens through the entire market to find tokens that meet predefined criteria, such as high developer activity or low price action.

Included with Plan

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AI Agent

What AI agents can do with Santiment (On-chain, Social & Dev Metrics) MCP Server: 4 Tools

These tools let you query crypto data by listing projects, tracking metric history, comparing multiple assets, or screening the market based on specific metrics.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Santiment (On-chain, Social & Dev Metrics for Crypto) on Vinkius

Filter Projects By Metric

Screens the market to find projects that meet a defined metric threshold (e.g., top 10 by DAA).

Get Metric Multiple Slugs

Fetches time-series data for one specific metric across multiple crypto asset slugs.

Get Metric Timeseries

Retrieves historical time-series data for a single metric and a single asset slug...

List Projects

Lists all available crypto projects and their valid identifiers (slugs) needed for...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Santiment integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
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  • Deploy to edge with MCPFusion framework
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  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Santiment (On-chain, Social & Dev Metrics for Crypto), then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 4 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Market intelligence shouldn't feel like writing a database query., Solved with Vinkius AI Gateway

Today, getting deep market data requires jumping between dashboards, running complex GraphQL queries, and manually checking if the asset slugs are correct. You spend time on plumbing—building the connection just to get simple metrics.

With this MCP server, your AI agent handles that complexity. Tell it what you need (e.g., 'Show me ETH's development history'), and it runs `get_metric_timeseries` instantly. You get the answer without writing a single line of code or wrestling with API documentation.

Santiment MCP Server: Get market data, not just metrics.

You no longer have to manually track slugs and then run separate calls for each metric. The AI client coordinates the workflow—it uses `list_projects` first, gathers all necessary IDs, and then executes the appropriate combination of tools like `get_metric_multiple_slugs` in the background.

The difference now is speed and scope. You move from manual data aggregation to instant, comprehensive analysis across on-chain, social, and dev metrics—all through conversation.

What your AI can actually do with this

You connect Santiment right into your agent, giving it instant access to deep crypto market data. It handles on-chain activity metrics, social sentiment scores, and developer development volume across thousands of assets. You can run complex analyses using natural language without ever writing a complicated API call yourself.

To start analyzing anything, you first need identifiers. The list_projects tool runs through every available crypto project and spits out a list of valid slugs. This tells your agent exactly which unique ID it needs to use when querying any metrics. You gotta run this before you can get accurate data on any coin.

When you’re ready for the numbers, you'll typically start with historical context. If you want to track how one asset has performed over time—say, checking daily active addresses or price fluctuations for Bitcoin—you use get_metric_timeseries. This tool retrieves a full time-series data set for a single metric and a specific crypto slug across any date range you define.

You ain't always looking at just one coin. If you wanna see how several assets stacked up against each other over the same period, you use get_metric_multiple_slugs. This function takes one metric and feeds it data for multiple crypto slugs in a single request. You can compare performance metrics—like market cap or total volume—across a handful of different tokens without running separate queries.

But sometimes, you don't know what you're looking for; you just know the conditions. That’s where filter_projects_by_metric comes in. This tool screens the entire market to find projects that hit specific metric thresholds. For instance, you could ask your agent to screen for all tokens with developer activity above a certain count or those showing unusual price action relative to their total market cap.

It narrows down the field instantly.

The system lets you look at institutional-grade crypto intelligence without needing deep background in data science or complex query writing. You can track historical performance metrics—like daily active addresses, circulating supply changes, or raw price movements—for single assets using get_metric_timeseries. Or, if you want to compare the health of Ethereum versus Solana side-by-side, you run get_metric_multiple_slugs.

If your goal is market discovery, filter_projects_by_metric is key. You can use it to identify opportunities—maybe finding assets with high on-chain volume but low social media mention counts. It lets you test specific criteria against the whole asset universe. Remember, every piece of data you pull starts with a valid slug from list_projects.

This structured approach means your agent always works with accurate identifiers, making the entire process reliable and fast.

Built · Hosted · Managed by Vinkius Santiment MCP Server - Crypto Metrics
Server ID 019e5d53-0690-7208-babc-00118b3ad6df
Vinkius Inspector
Compliance Grade F
Score 3.6/100
Vinkius Inspector Badge — Score 3.6/100

Questions you might have

How do I find the correct slug for a new crypto asset using list_projects? +

Run list_projects. This tool queries all available projects and spits out a comprehensive, up-to-date list of valid slugs. You pick your slug from this list to use in any other metric query.

Should I use get_metric_timeseries or get_metric_multiple_slugs? +

Use get_metric_timeseries if you are only tracking one asset over time. Use get_metric_multiple_slugs when your goal is to compare the same metric across two or more assets simultaneously.

How does filter_projects_by_metric work? +

This tool screens the market based on thresholds you set. For example, you can tell it: 'Show me all tokens where developer activity is above X.' It doesn't show history; it shows current snapshots that match your criteria.

What kind of metrics can I track? +

The server tracks three main types of data: on-chain metrics (like daily active addresses), social sentiment, and developer development volume. You specify the metric name when querying.

What is required before I can use `list_projects`? +

You must subscribe to the server and enter your Santiment API Key. The tool won't run without valid credentials, so make sure your client agent is configured with the correct key first.

Are there rate limits when I use `get_metric_timeseries`? +

Yes, continuous high-volume querying can hit usage limits. For large historical data pulls, it’s best practice to break your requests into smaller, sequential batches rather than one massive query.

When should I use `get_metric_multiple_slugs` instead of a general prompt? +

Use this tool when you need guaranteed timeseries data for specific assets across the same metric. A general prompt might compare them, but the function delivers structured, comparable datasets.

Can I combine criteria in `filter_projects_by_metric`? +

Yes. You can define complex filtering logic by specifying multiple thresholds and metrics. The system processes these conditions together to narrow down your asset list effectively.

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

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

Can I compare the price of multiple assets at once? +

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

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

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

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Santiment. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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