@bitcoinbenji/mcp
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Alternatives to @bitcoinbenji/mcp
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Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server giving AI agents Bitcoin and Lightning superpowers for price checks, mempool inspection, Lightning payments, and more.MIT

btcmatic-mcp-serverofficial
AlicenseAqualityCmaintenanceMCP server that gives autonomous agents pay-per-call Bitcoin context (self-custody radar, fee percentiles, price change windows, condition frequencies) paid in sats over Lightning via L402 invoices, with no account or API key required.7MIT- AlicenseAqualityBmaintenanceMCP server that enables AI agents to make autonomous Bitcoin Lightning Network payments using the L402 protocol. Agents can pay for API access, purchase resources, and complete transactions without human intervention — invoice comes in, sats go out, done.179MIT
- AlicenseAqualityCmaintenanceMCP server that gates API calls to AI agents using proof-of-work (free) or Lightning payment (3 sats), providing challenge, verify, and status tools for per-call authentication without accounts.358 npm1MIT
- AlicenseNot gradedqualityCmaintenanceMCP server providing 50+ crypto, market intelligence, and AI inference endpoints with x402 pay-per-request micropayments on Base.1Apache 2.0
- FlicenseAqualityCmaintenanceMCP server for querying live Bitcoin data from mempool.space, including recommended fees, mempool stats, blocks, transactions, addresses, and price. No API key required.7-
TDQS
Scored across 26 tools
All AI tools have distinct purposes (e.g., classify, summarize, translate) and are clearly delineated by the 'ai_' prefix. The Bitcoin tools are also distinct from each other and from the AI tools, leaving no ambiguity.
The AI tools consistently use 'ai_' prefix, but the Bitcoin tools mix 'get_' (get_fees, get_mempool_state) with other patterns (fee_quote, predict_fees), creating an inconsistent overall naming convention.
26 tools is on the high side but reasonable given the dual domain (18 AI + 8 Bitcoin). Each tool appears justified, and the count is not excessive for the scope.
The AI toolset covers many common tasks (generation, review, embedding, OCR, research, etc.). The Bitcoin toolset covers mempool, fees, and transaction status, though it lacks some operations like broadcasting.