DappRadar Analytics MCP. Analyze any Web3 asset, from dApps to NFTs, in seconds.
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…and any MCP-compatible client
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DappRadar (Web3 Dapp & NFT Analytics) MCP Server gives your AI agent access to real-time Web3 data. You can analyze specific dapps, track NFT collection metrics, and get aggregate stats for entire blockchains.
It helps you query complex crypto trends—like historical volume or market share—using natural conversation. Stop digging through dashboards; just ask your agent.
What your AI agents can do
Get chain stats
Gets aggregate metrics for a specific blockchain ecosystem.
Get dapp
Gets detailed information for a specific dapp.
Get dapp metrics
Gets historical activity metrics for a specific dapp.
Retrieves a complete list of all blockchain ecosystems monitored by DappRadar.
Lists and filters dApps based on criteria like blockchain, category, or name.
Fetches detailed metadata and developer information for a single, named decentralized application.
Retrieves historical metrics—including unique users, transactions, and volume—for a specific dApp.
Fetches core metadata, including ranked status and current statistics, for a specific NFT collection.
Retrieves historical data, such as floor price and total sales volume, for a specific NFT collection.
Gets high-level, overall metrics for an entire blockchain network.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019e5d0fget chain stats
Gets aggregate metrics for a specific blockchain ecosystem.
019e5d0fget dapp
Gets detailed information for a specific dapp.
019e5d0fget dapp metrics
Gets historical activity metrics for a specific dapp.
019e5d0fget nft collection
Gets metadata and stats for a specific NFT collection.
019e5d0fget nft collection metrics
Gets historical metrics for a specific NFT collection.
019e5d0flist chains
Lists all blockchains supported by DappRadar.
019e5d0flist dapps
Lists all dapps tracked by DappRadar, allowing filtering by chain or category.
019e5d0flist nft collections
Lists ranked NFT collections available on DappRadar.
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
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with DappRadar (Web3 Dapp & NFT Analytics), then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI agent can pull deep, real-time data from the entire Web3 ecosystem. It's got tools to analyze specific dapps, track NFT collections, and get aggregate stats for entire blockchains. You don't have to dig through dashboards; you just ask your agent.
Listing Supported Blockchains: Your agent retrieves a complete list of all blockchain ecosystems monitored by DappRadar using list_chains.
Finding and Filtering DApps: You can list and filter dApps by blockchain, category, or name using list_dapps. You can then fetch detailed metadata and developer info for a specific dApp using get_dapp.
Analyzing dApp Performance: Your agent retrieves historical metrics—including unique users, transactions, and volume—for a specific dApp using get_dapp_metrics. You can view the current performance of a dApp using get_dapp.
Listing NFT Collections: You can list all ranked NFT collections available on DappRadar using list_nft_collections.
Analyzing NFT Collections: You can fetch core metadata, including ranked status and current stats, for a specific NFT collection using get_nft_collection. Your agent tracks historical data, like floor price and total sales volume, for an NFT collection using get_nft_collection_metrics.
Viewing Aggregate Chain Metrics: You can get high-level, overall metrics for an entire blockchain network using get_chain_stats. You can also get overall metrics for a specific dApp using get_dapp.
How DappRadar Analytics MCP Works
- 1 Subscribe to the server and enter your DappRadar API Key into your client configuration.
- 2 Ask your AI agent a question (e.g., 'What were the NFT metrics for Bored Ape Yacht Club?').
- 3 The agent identifies the need, calls the appropriate tool (like
get_nft_collection_metrics), and returns the formatted data.
The bottom line is that your AI client handles the API calls and data formatting, letting you get complex Web3 insights without writing a single line of code.
Who Is DappRadar Analytics MCP For?
Crypto Analysts, Web3 Developers, and Investment Researchers. If your job requires knowing why a token or collection is moving—if you need historical context, market share data, or performance metrics on multiple chains—this server is for you. It takes the guesswork out of tracking decentralized assets.
Generates instant reports on NFT collection performance and dapp user growth by comparing historical volume and unique wallets across different chains.
Monitors competitor metrics and ecosystem health directly from their coding environment, allowing them to test data feeds for new protocol integrations.
Tracks historical volume and transaction trends to identify emerging market opportunities or spot liquidity shifts across major blockchain networks.
What Changes When You Connect
- See a chain's overall health instantly. Use
get_chain_statsto pull aggregate metrics for any major blockchain, giving you immediate market share context without leaving your chat. - Track NFT performance over time.
get_nft_collection_metricsdelivers historical data on floor price and total volume, letting you analyze trends for collections like Bored Ape Yacht Club. - Benchmark dApps against competitors. Run
get_dapp_metricsto get historical user and transaction counts for a specific project, letting you compare growth rates side-by-side. - Discover projects quickly. Use
list_dappsto filter thousands of dapps by category (like Games or DeFi) or specific blockchain, narrowing your research instantly. - Get foundational metadata.
get_dappfetches core details for a project, whileget_nft_collectiongrabs the latest stats—it's the quick background check you need. - Know your scope. Run
list_chainsfirst to confirm which blockchains are supported before trying to pull metrics for a specific network.
Real-World Use Cases
Evaluating a new investment target
A quantitative researcher wants to know if a new DeFi protocol (dApp X) is viable. They first use list_dapps to find the project, then call get_dapp_metrics to pull the last 90 days of unique user and volume data. Finally, they run get_chain_stats to benchmark the total network volume, giving them a full viability picture in minutes.
Comparing NFT market cycles
An art collector needs to compare the performance of two collections (Collection A vs. Collection B). They use get_nft_collection_metrics for both. The agent returns a side-by-side comparison of historical floor price and sales volume, letting the collector decide which market is more stable.
Debugging a protocol integration
A Web3 developer is building a front-end dashboard that needs data on a specific dApp. They use get_dapp to get the metadata, then call get_dapp_metrics to verify the required historical data points, ensuring their code connects to the correct endpoints before deployment.
Mapping the current crypto landscape
An analyst needs a high-level view of the market. They first run list_chains to see all available networks. Then, they use get_chain_stats to pull the latest aggregate data for Ethereum and Polygon, quickly establishing which chains have the largest current market activity.
The Tradeoffs
Treating data as simple lookups
A user asks, 'How is the market doing?' and the agent only returns a list of chains from list_chains. This gives zero actionable data.
→
Don't stop at listing. After running list_chains, immediately follow up with get_chain_stats for the specific chains you care about (e.g., Ethereum and Polygon). That's where the actionable metrics live.
Ignoring historical context
A user sees a dApp listed and only calls get_dapp to get its basic info. They miss knowing if the project is actually gaining traction.
→
Always check the performance. After running get_dapp to get the details, run get_dapp_metrics to see the actual trend of user growth and transaction volume. History matters more than the profile picture.
Confusing listing with data retrieval
A user tries to run metrics on a collection they haven't explicitly listed, leading to a failure or stale data.
→
First, use list_nft_collections to get the official list of tracked collections. Then, use the name from that list when calling get_nft_collection_metrics to ensure you're hitting the correct, current data endpoint.
When It Fits, When It Doesn't
Use this server if your job is about data comparison or trend analysis. You need to answer questions like: 'Did this dApp's user base grow faster than the chain's average?' or 'Is Collection A's historical volume more stable than Collection B's?'
Don't use this if you just need to know a simple fact, like 'What is the official website for Dapp X?' Use a general search or a knowledge base tool instead. Also, if you only need to check a single, simple piece of metadata, the general get_dapp tool might be enough, but this server gives you the deep historical and comparative metrics you actually need.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DappRadar. 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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Trying to piece together Web3 data from multiple dashboards is a nightmare.
Right now, getting a full picture of a Web3 asset means jumping between DappRadar's dashboard, CoinMarketCap's historical charts, and specific blockchain explorers. You copy metrics, you open tabs, you cross-reference dates, and you end up with a spreadsheet that feels less reliable than a rumor.
With this MCP server, you just ask your agent. You say, 'Give me the 90-day volume and unique users for Dapp X.' The agent calls the necessary tools and gives you the final, structured report. It's instant, and it's reliable.
DappRadar Analytics MCP Server: Get deep historical NFT metrics.
Before, tracking an NFT collection meant manually checking the floor price on one day and the total sales volume on another. You had to stitch together separate data points and hope the charts aligned.
Now, calling `get_nft_collection_metrics` gets you the full history in one go. It doesn't just give you a snapshot; it gives you the trend line. That’s the difference between looking at a photo and watching a movie.
Common Questions About DappRadar Analytics MCP
How do I use the `get_chain_stats` tool? +
You call this tool by specifying the blockchain name (e.g., Ethereum or Polygon). It returns aggregate metrics for the whole network, like total volume or active wallets. You can't run it without specifying a chain.
What is the difference between `get_dapp` and `get_dapp_metrics`? +
get_dapp gets the current metadata—the 'who.' get_dapp_metrics gets the historical performance—the 'how well.' You need both for a full picture.
Can I list all available NFT collections using `list_nft_collections`? +
Yes. list_nft_collections returns a ranked list of currently tracked NFT collections. This is the required first step if you don't already know the collection's name.
Do I need to run `list_dapps` before using `get_dapp`? +
No. list_dapps lets you browse and filter dApps by category. get_dapp requires the specific name or ID of the dApp you want details on.
Can the server track multiple chains simultaneously? +
Yes. You can use get_chain_stats and get_dapp_metrics to pull comparative metrics across different blockchains in a single conversation.
How do I get historical metrics for an NFT collection using `get_nft_collection_metrics`? +
You pass the collection ID and time range to get_nft_collection_metrics. This tool returns volume, sales count, and floor price trends over the specified period. It's great for tracking seasonal shifts in NFT demand.
What is the purpose of the `list_dapps` tool? +
The list_dapps tool fetches a paginated list of all dapps tracked by DappRadar. You use it to find the exact names or IDs needed to query specific dapps with get_dapp or get_dapp_metrics.
Does the server support listing all blockchains with `list_chains`? +
Yes, the list_chains tool lists every blockchain DappRadar supports. This lets you know which chains you can pass to get_chain_stats or other chain-specific tools.
Can I see historical volume and sales for a specific NFT collection? +
Yes! Use the get_nft_collection_metrics tool with the collection ID. It returns historical floor prices, volume, and sales data to help you analyze market trends.
How do I find the top performing dapps on a specific blockchain like Polygon? +
You can use the list_dapps tool and provide 'polygon' in the chain parameter. You can also filter by category like 'games' or 'defi' to narrow down your search.
Is it possible to get aggregate statistics for an entire blockchain ecosystem? +
Absolutely. Use the get_chain_stats tool with the name of the blockchain (e.g., 'ethereum'). It will provide aggregate metrics for that specific ecosystem.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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