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Access Bitcoin mempool intelligence and on-prem AI inference with pay-per-call sats.
Overall low-to-moderate risk: no credentials and no known remote endpoints, with an open-source MIT-licensed repository. However, it claims code execution and local inference capabilities, so it should still be deployed with standard caution for local tools.
No credentials, tokens, or environment variables are required; there is no direct credential leakage or abuse risk evident from the materials.
No remote endpoint host is declared, and there is no indication that user data is exfiltrated to third parties; based on the materials, there is no explicit egress signal.
System checks indicate code execution/local capabilities, which is normal for MCP tools; there is no sign of extraordinary system permissions beyond the stated function.
The description focuses on Bitcoin mempool intelligence and local AI inference, with no explicit file I/O scope defined; as with typical tools, it may access relevant local data and should be reviewed accordingly.
The source is a third-party registry, but it has a public open-source repository and an MIT license, making it auditable; however, 0 stars and unknown maintenance state make supply-chain trust only moderate.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@bitcoinbenji/mcp" yet — see the docs or source repo.
Use this MCP tool to check the current Bitcoin mempool status, summarize unconfirmed transaction count, fee-rate distribution, and congestion level, then provide a brief analysis in English.
Returns key current mempool metrics with a concise interpretation of congestion and fee conditions.
Based on current mempool data, estimate recommended fee ranges for low, medium, and high priority transactions, and explain the likely confirmation time for each.
Provides tiered fee recommendations and estimated confirmation times to guide transaction strategy.
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Generates a locally inferred summary and key insights suitable for research or automation workflows.
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