Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, teams that run software on their own infrastructure — free to start, source available on GitHub.
AI / Catalogue record
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github.com
bitcoinbenji-mcp
📇 ☁️ 🍎 🪟 🐧 - Lightning-paid (L402) Bitcoin mempool intelligence + sovereign on-prem AI inference. 25 pay-per-call tools: live fees with tren...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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📇 ☁️ 🍎 🪟 🐧 - Lightning-paid (L402) Bitcoin mempool intelligence + sovereign on-prem AI inference. 25 pay-per-call tools: live fees with trend, whale/mempool alerts, fee prediction, tx status & exact fee quotes, plus AI summarize/translate/grammar/code-review/code-gen/extract/classify/rewrite/explain/vision/OCR/embeddings and long-context docs — all on a self-hosted solar-powered GPU, no third-party APIs, pay 2–100 sats per call. npm i -g @bitcoinbenji/mcp
Best for
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, teams that run software on their own infrastructure — free to start, source available on GitHub.
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Teams that need a vendor SLA before adopting a free tool — check the project's support terms first.
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Evidence summary
Known limitations
Teams that need a vendor SLA before adopting a free tool — check the project's support terms first.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
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@bitcoinbenji/mcp
GitHub / ocbenji/bitcoinbenji-mcp
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