mcp server
io.github.blocklens/blocklens-mcp-server
Bitcoin on-chain analytics — 109 metrics: MVRV, SOPR, NUPL, HODL Waves, CDD, cycles & more
Description as published by the maintainer. Source
- version 0.4.3
- slowing
- analytics
slowing — Most recent push to the repository was 2026-03-09. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-03-09 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.4.3 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-08 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-03-08 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Hyperliquid Whale Position Tracker API
— last commit 2026-07-19, shares crypto, on-chain-analytics
Top Hyperliquid trader positions — long/short, size, PnL, leverage, sentiment. x402.
-
Whale Alert API
— last commit 2026-07-31, shares crypto, on-chain-analytics
Track large on-chain whale transactions on Ethereum and Base. x402 micropayment.
-
IRONCLAW BTC Node
— last commit 2026-06-12, shares bitcoin, blockchain, crypto
Real BTC full node: fees, mempool, txs, portfolio, trace, whales, SEC, scraping, Reddit via x402.
-
io.github.aibtcdev/mcp-server
— last commit 2026-08-06, shares bitcoin, blockchain
Bitcoin-native MCP server for AI agents: BTC/STX wallets, DeFi yield, sBTC peg, NFTs, x402 payments.
-
Bitcoin MCP
— last commit 2026-05-18, shares bitcoin, blockchain
49 Bitcoin tools for AI agents: fees, mempool, blocks, mining, price. Zero config.
-
verify-proof
— last commit 2026-07-19, shares bitcoin, blockchain
Verify blockchain-anchored timestamp proofs offline. No network calls, account, or API key.
-
ai.mcpanalytics/analytics
— last commit 2026-08-02, shares analytics
The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.
-
Steep
— last commit 2026-06-29, shares analytics
Query metrics, targets, entities, and team data in your Steep workspace via MCP.
-
Prism — Crossdeck
— last commit 2026-07-09, shares analytics
Ask your app anything — revenue, errors, read-cost, growth — and get rendered charts back.
-
DebugBundle
— last commit 2026-07-29, shares analytics
DebugBundle MCP: runtime error reporting, incident response, health checks, and product analytics.
These share tags the maintainers applied themselves, such as crypto, on-chain-analytics, bitcoin, blockchain. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai, analytics, bitcoin, blockchain, crypto, mcp, mcp-server, model-context-protocol, on-chain-analytics.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab