LunarCrush MCP. Cross-reference market data and social buzz.
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LunarCrush provides real-time social intelligence for crypto assets. Your AI agent uses this server to monitor community sentiment, track key proprietary metrics like Galaxy Score and AltRank, and access live market data for thousands of digital coins.
You can compare a coin's social buzz against its current price, making it easy to spot potential trends before the rest of the market catches on.
What your AI agents can do
Get altrank
Retrieves an AltRank score, showing a coin's social performance relative to the entire crypto market.
Get galaxy score
Calculates a combined Galaxy Score for a coin by cross-referencing its social and historical market data.
Get market metrics
Pulls real-time financial information, including the current price, trading volume, and total market cap for any given coin.
You can run get_altrank to immediately see how an asset's current buzz ranks against all other coins, giving instant market context.
By calling get_galaxy_score, your agent combines social volume and market history into one single score for quick comparison across multiple assets.
The get_market_metrics tool retrieves live data points, including current price, trading volume, and total market capitalization.
Use get_social_metrics to pull granular data like mention counts, engagement rates, and overall sentiment for a specific coin.
The list_assets function lets your agent retrieve the full list of supported coins, allowing you to build structured reports or filters on demand.
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Supported MCP Clients
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LunarCrush: 5 Tools for Crypto Analysis
Run five specific tools to calculate scores, retrieve live metrics, and gather detailed social data for any crypto asset.
019e5d31get altrank
Retrieves an AltRank score, showing a coin's social performance relative to the entire crypto market.
019e5d31get galaxy score
Calculates a combined Galaxy Score for a coin by cross-referencing its social and historical market data.
019e5d31get market metrics
Pulls real-time financial information, including the current price, trading volume, and total market cap for any given coin.
019e5d31get social metrics
Gathers detailed social data points like mention counts, engagement rates, and overall sentiment surrounding a specific crypto asset.
019e5d31list assets
Provides a list of all supported crypto assets; you can filter this list by symbol or rank to focus your analysis.
Choose How to Get Started
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Make Your AI Do More
Start with LunarCrush (Social Intelligence for Crypto Assets), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
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What you can do with this MCP connector
LunarCrush gives your AI agent deep social intelligence on crypto assets. This server lets you monitor community sentiment and track proprietary metrics—like Galaxy Score and AltRank—for thousands of digital coins. You're checking if a coin's buzz is matching the market hype.
Getting Started: Building Your Watchlist
Start by building your asset list. Use list_assets to grab the full roster of supported crypto assets. This function returns all available symbols, letting you filter that data right away—you can narrow it down by a specific symbol or by rank if you only want to see the top dogs.
You'll get a structured list that lets your agent build out reports on demand.
Deep Dive into Community Buzz: The Raw Data
Want to know what people are actually saying? Use get_social_metrics. This tool pulls granular data points for any specific coin. It gives you mention counts, engagement rates, and the overall calculated sentiment score. You're not just getting a number; you're seeing the raw health of the community discussion around that asset.
Measuring Social Performance: AltRank
To see how an asset stacks up against the competition, run get_altrank. This function gives you a coin’s AltRank score. Think of it like this: it ranks the asset's current social buzz performance against every other crypto in the market. It immediately shows if a coin is trending hard or getting ignored.
Calculating Combined Health Scores: Galaxy Score
For a quick, single measure of total health, call get_galaxy_score. This tool calculates a combined Galaxy Score for any given asset. What it does under the hood is cross-reference both historical market data and current social volume into one score. It's way faster than looking at metrics separately.
Market Context: Real-Time Finance
No point analyzing buzz without knowing the price action. Use get_market_metrics to pull real-time financial information for any coin. This returns live data points, including the current market price, total trading volume over a set period, and the asset's total market capitalization. You combine this live money flow with your social metrics to get the full picture.
How It Works Together
Your agent uses these tools sequentially. First, it grabs the list of assets using list_assets. Then, for a specific coin, it calls get_social_metrics to nail down sentiment. Next, it runs get_altrank to see how that buzz ranks globally. It simultaneously pulls get_market_metrics to know what the price is doing right now.
Finally, it wraps all that data up by running get_galaxy_score, giving you a comprehensive, single score that tells you if the coin's social life matches its financial backing.
How LunarCrush MCP Works
- 1 First, ask your AI agent to identify what data you need. For example: 'Give me the market metrics and social score for BTC.'
- 2 The agent then calls multiple tools—like
get_market_metricsandget_social_metrics—and combines their outputs into a single reply. - 3 You get back structured, cross-referenced data that tells you both the technical performance (price) and the behavioral performance (buzz).
The bottom line is: your agent runs multiple crypto analysis tools in sequence to build one complete picture of an asset's health.
Who Is LunarCrush MCP For?
This server is for the quantitative analyst, the trading research associate, or the portfolio manager who doesn't trust a single data source. If your job requires cross-referencing market cap with Reddit sentiment to decide on a trade, this is for you.
Uses get_social_metrics and get_altrank to spot sudden shifts in community buzz that signal potential short-term price movements.
Runs get_galaxy_score on a list of competitors, combining social volume with market metrics to build comparative research reports for clients.
Integrates the asset listing (list_assets) and score tools into automated scripts or internal agents to track thousands of assets without manual intervention.
What Changes When You Connect
- Spot early trends by combining
get_altrankwithget_market_metrics. You don't just see a high price; you see if the community buzz (AltRank) is actually supporting that price action. This combination helps separate hype from solid fundamentals. - Move beyond simple charts. By using
get_social_metrics, your agent can give you sentiment—is the overall mood 'Bullish' or 'Bearish'? This qualitative data adds a critical layer of context missing from standard charting platforms. - Benchmark assets instantly with
get_galaxy_score. Instead of looking at one coin in isolation, this single score combines market performance and social volume, letting you compare 10 coins against each other efficiently. - Automate watchlist creation. Use
list_assetsto pull a filtered list of the top N coins by rank or symbol, then feed that resulting list intoget_market_metricsto get instant data for dozens of assets at once. - Validate hype vs. reality. If an asset has high social mentions but poor market metrics (from
get_market_metrics), this server lets you flag it instantly. It helps cut through the noise.
Real-World Use Cases
Investigating a sudden price spike
A trader notices BTC's price jumped 15%. They ask their agent to check why. The agent runs get_market_metrics (confirming the jump) and then immediately follows up with get_social_metrics. If the sentiment is 'Bullish' but mentions are low, it suggests institutional buying rather than grassroots hype.
Comparing altcoins in a sector
An analyst needs to compare five Layer-1 competitors. Instead of manual lookups, they use list_assets to get the list, then run get_galaxy_score on all five. This provides an immediate, comparable score for their research report.
Identifying undervalued assets
A developer wants a watchlist of coins with strong community interest but low market cap. They use list_assets to filter by size, then run get_altrank and get_market_metrics together. High AltRank + Low Market Cap = Potential target.
Checking for market correlation
A user wants to know if Bitcoin's performance is dragging down minor coins. They run get_altrank on both BTC and a small altcoin simultaneously. A low AltRank score on the altcoin confirms its weakness relative to the overall market.
The Tradeoffs
Only looking at price charts
Seeing a coin's chart go parabolic and assuming it's safe just because the green candles are big. This misses the underlying reason for the move.
→
Always cross-reference with social data. Use get_social_metrics to see if the price spike is backed up by actual community discussion (mentions) or if it’s purely speculative noise.
Manually checking every coin's rank
Logging into five different sites and running manual searches for each asset to get its current ranking. This is slow, prone to human error, and wastes time.
→
Use list_assets to pull a comprehensive list of assets first. Then pass that entire list into get_altrank or get_galaxy_score to process them all in one API call.
Treating scores as gospel
Assuming a high Galaxy Score means the asset is guaranteed to succeed. Scores are just data points and don't predict future price action.
→
Use get_market_metrics alongside your score checks. A high score is only actionable if it correlates with positive, real-time market capitalization growth.
When It Fits, When It Doesn't
Use this server if you need to synthesize behavioral data (social buzz) with technical data (price/volume). This isn't just a charting tool; it’s an intelligence layer. You must check social sentiment (get_social_metrics) whenever you see unusual market movement via get_market_metrics. If your goal is purely tracking historical price performance over years, standard time-series databases are fine. Don't use this if all you need is a simple list of tickers; just run list_assets. However, for deep comparative analysis—like ranking 20 assets against each other—the combination of get_altrank and get_galaxy_score is irreplaceable because it gives you immediate context on relative performance. Use this when the 'why' behind the price matters as much as the price itself.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LunarCrush. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with 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 server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Figuring out market sentiment used to mean reading hundreds of Reddit threads.
Today, if you want to know what people think about a coin, you have to open Twitter, check Discord, and manually scrape forums. You spend hours just trying to aggregate enough mentions and filter out the noise—it's slow, inconsistent, and you always miss something.
With LunarCrush, your agent runs `get_social_metrics`. It pulls structured data points like total mentions and sentiment scores instantly. Instead of reading a messy feed, you get clean metrics: 'Sentiment is 72% Bullish,' backed by hard numbers.
LunarCrush MCP Server provides immediate cross-asset ranking with `get_altrank`.
Before, determining how a coin stacked up against its peers required running multiple individual lookups for every single asset. You'd get one score, then log off and start the painful process of compiling the next batch of data points manually.
Now, you call `get_altrank` once and tell your agent which assets to compare. It returns their rank relative to the entire market in a clean, sortable list. You see context immediately.
Common Questions About LunarCrush MCP
How do I find out what coins are supported by LunarCrush? Using `list_assets`? +
Run the list_assets tool. It returns a complete list of all assets the server supports, and you can filter this initial data set by symbol or rank if needed.
Can I compare social buzz against market cap? Which tools do I use? +
Yes. You need to combine get_social_metrics for the sentiment/mentions, and then run get_market_metrics to pull the real-time market capitalization. The agent will stitch these two data points together for comparison.
What is better: AltRank or Galaxy Score? +
It depends on your goal. Use get_altrank when you need to know how an asset stacks up against the entire market's buzz. Use get_galaxy_score when you want a holistic, combined score of social activity and historical performance.
Do I have to run multiple tools for one coin? Is it efficient? +
No. Your agent is designed to manage the sequence. You can ask for 'everything'—and the agent will call get_market_metrics, get_social_metrics, and others sequentially, delivering a single, comprehensive result.
What do I need to successfully run `get_galaxy_score`? +
You must provide a valid LunarCrush API Key for authentication. The key grants your AI client access, and you'll need an active subscription linked to that credential.
Am I limited when running multiple checks with `get_social_metrics`? +
Yes, there are rate limits on the number of calls in a short period. We recommend batching your requests or implementing an exponential backoff strategy in your agent code.
Does `get_market_metrics` provide historical price points, or just real-time data? +
It provides current, real-time market metrics like price and volume. If you need deeper historical charts, you'll have to use a dedicated charting API outside of this server.
How can I use `list_assets` to filter assets by ranking or category? +
You can pass specific parameters like rank ranges or categories into the function call. This allows you to narrow down the list significantly without needing multiple searches.
What does the Galaxy Score represent for a coin? +
The Galaxy Score, retrieved via get_galaxy_score, indicates how a coin is performing relative to its own historical social and market performance. A higher score suggests stronger combined health.
How can I compare a coin's social performance against the entire market? +
Use the get_altrank tool. It measures a coin's social performance relative to the entire crypto market, helping you identify assets that are gaining significant social traction.
Can I get social sentiment for specific time intervals? +
Yes! The get_social_metrics tool allows you to specify an interval (1h, 24h, or 7d) to retrieve mentions, engagement, and sentiment for a specific coin symbol.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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