Provides tools for querying Bitcoin and Lightning Network knowledge, retrieving real-time blockchain and network statistics, and accessing Web of Trust scores for Nostr pubkeys.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Maximum Sats MCP What are the current Bitcoin and Lightning Network stats?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for Bitcoin AI tools and Nostr Web of Trust scoring. Pay-per-use via Lightning L402.
As MCP servers proliferate, a critical question emerges: How do we secure and monetize MCP API access in a decentralized way?
MaximumSats delivers:
L402 Payment Endpoints — Every API call can require payment in satoshis
Web of Trust (WoT) Scoring — Sybil-resistant reputation for Nostr users
Nostr ID Utilities — Decoding/encoding npub, note, nprofile, nevent, naddr, and more
Related MCP server: AgentBTC MCP Server
Bounty Platforms — Pay hunters per task, prevent sybil with WoT
AI Agent Marketplaces — Monetize MCP tools per-call
Data Feeds — Secure oracle data with L402
Reputation Systems — WoT-powered trust scoring
npx maximumsats-mcpOr add to your MCP client config:
{
"mcpServers": {
"maximumsats": {
"command": "npx",
"args": ["maximumsats-mcp"]
}
}
}Tool | Cost | Description |
| 21 sats | Ask about Bitcoin/Lightning (Llama 3.3 70B) |
| 100 sats | Text-to-image (FLUX.1 Schnell 12B) |
Tool | Description |
| PageRank trust score (0-100) with rank and percentile |
| 5-signal Sybil detection (genuine/suspicious/likely_sybil) |
| Hop-by-hop trust path between two pubkeys |
| Network metrics: 51K+ nodes, Gini coefficient, density |
| Follow list quality analysis with suggestions |
| Mutual follows with trust strength and cohesion |
| Ghost followers, asymmetric patterns, cluster detection |
| Link prediction (5 topology signals) |
| Cross-provider NIP-85 trust score consensus |
| Simulate follow/unfollow ripple effects |
MaximumSats is purpose-built for the Secure & Govern MCP track:
Every endpoint can be gated behind payment. The L402 flow is simple:
# Request returns HTTP 402 with Lightning invoice
curl -X POST https://maximumsats.com/api/dvm \
-H "Content-Type: application/json" \
-d '{"prompt":"hello"}'
# Returns: {"error":"Payment required","payment_request":"lnbc21...","payment_hash":"abc123","amount_sats":21}
# Pay the invoice in your Lightning wallet, then retry with payment_hash in Authorization header:
curl -X POST https://maximumsats.com/api/dvm \
-H "Content-Type: application/json" \
-H "Authorization: abc123" \
-d '{"prompt":"hello"}'
# Returns: {"status":"success","data":{...}}The WoT endpoint scores Nostr pubkeys based on their network position — valuable for:
Bounty platforms preventing fake accounts
Voting systems needing sybil resistance
Reputation engines
curl https://maximumsats.com/api/wot/npub1...
# Returns: {"score": 45, "rank": 1234, "percentile": 95.5}Instant settlement on Lightning Network
No subscriptions, pay per request
Pseudonymous, no KYC required
MaximumSats uses the L402 protocol (Lightning HTTP 402):
// Challenge response includes invoice
{ status: 402, error: "Payment required", invoice: "lnbc...", amount_sats: 21 }
// After payment, include payment_hash in retry
{ status: 402, error: "Payment required", payment_hash: "abc123..." }
// Successful response after payment verification
{ status: 200, data: { ... } }All payment flows through Lightning Network — no blockchain bloat.
maximumsats.com/stats — AI tools pricing
wot.klabo.world/docs — WoT API interactive docs
wot.klabo.world/openapi.json — OpenAPI 3.0 spec
The MaximumSats API uses L402 — here's exactly how to pay and get results:
# Step 1: Request (returns 402 with Lightning invoice)
curl -X POST "https://maximumsats.com/api/bolt11-decode" \
-H "Content-Type: application/json" \
-d '{"invoice":"lnbc1..."}'
# Response: {"error":"Payment required","payment_request":"lnbc...","payment_hash":"abc123...","amount_sats":21}
# Step 2: Pay the invoice in your Lightning wallet, then retry with payment_hash:
curl -X POST "https://maximumsats.com/api/bolt11-decode" \
-H "Content-Type: application/json" \
-H "Authorization: abc123..." \
-d '{"invoice":"lnbc1..."}'
# Response: {"status":"success","data":{...}}curl -s "https://wot.klabo.world/score/npub1..." | jq '.score'
# Returns: {"score": 42, "rank": 1234, "percentile": 95.5}curl -X POST "https://maximumsats.com/api/bolt11-decode" \
-H "Content-Type: application/json" \
-d '{"invoice":"lnbc..."}'
# Returns: amount, description_hash, expiry, payee pubkeycurl -X POST "https://maximumsats.com/api/nip05-verify" \
-H "Content-Type: application/json" \
-d '{"identifier":"bob@nostr.com"}'
# Returns: pubkey, valid boolean, relay hintsMIT
Ask a question about Bitcoin, Lightning Network, or cryptocurrency. Powered by Llama 3.3 70B. Costs 21 sats via Lightning L402.
Inputs: prompt (required), payment_hash.
Generate an image from a text prompt using FLUX.1 Schnell (12B). Costs 100 sats via Lightning L402.
Inputs: prompt (required), payment_hash.
Detect anomalous patterns in a Nostr pubkey's network behavior. Checks for ghost followers, asymmetric relationships, cluster patterns, and suspicious activity.
Inputs: pubkey (required), payment_hash.
Compare trust scores for a pubkey across multiple NIP-85 providers. Shows consensus classification and provider agreement.
Inputs: pubkey (required), payment_hash.
Analyze the quality of a Nostr pubkey's follow list. Returns quality score, ghost follower ratio, diversity entropy, and improvement suggestions.
Inputs: pubkey (required), payment_hash.
Simulate what happens if one pubkey follows/unfollows another. Shows ripple effect across the network using differential PageRank.
Inputs: pubkey (required), other (required), action, payment_hash.
Get Nostr network health metrics: node count, edge count, Gini coefficient (decentralization), power-law exponent, density, and component analysis. No pubkey needed.
Inputs: payment_hash.
Predict how likely two Nostr pubkeys are to connect. Uses 5 topology signals: Common Neighbors, Adamic-Adar, Preferential Attachment, Jaccard, WoT Proximity.
Inputs: source (required), target (required), payment_hash.
Look up a Nostr pubkey's Web of Trust score (PageRank-based, 0-100). Returns score, rank, percentile, followers. 50 free requests/day, then L402.
Inputs: pubkey (required), payment_hash.
Run 5-signal Sybil detection on a Nostr pubkey. Analyzes follower quality, mutual trust ratio, follow diversity, temporal patterns, and community integration. Returns classification: genuine, likely_genuine, suspicious, or likely_sybil.
Inputs: pubkey (required), payment_hash.
Get a pubkey's trust circle (mutual follows with trust strength). Returns members with roles, cohesion, and density metrics.
Inputs: pubkey (required), payment_hash.
Find the trust path between two Nostr pubkeys. Shows hop-by-hop path with trust scores at each hop. Useful for 'how am I connected to this person?'
Inputs: from (required), to (required), payment_hash.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 12 tools
The tools are mostly distinct with clear purposes, but there is some overlap in the Web of Trust (WoT) analysis tools. For example, wot_anomalies and wot_sybil_check both detect suspicious activity, which could cause confusion. However, each tool's description helps differentiate them by focusing on specific aspects like network patterns versus Sybil detection signals.
The naming follows a highly consistent pattern. All Web of Trust tools use the 'wot_' prefix followed by a descriptive action or concept (e.g., wot_score, wot_trust_path). The non-WoT tools (ask_bitcoin, generate_image) also use clear verb_noun or action_object formats, maintaining overall consistency without mixing conventions.
With 12 tools, the count is well-scoped for the server's purpose of providing Bitcoin/Lightning and Nostr Web of Trust services. It covers a broad range of functionalities without being overwhelming, with 2 tools for general Bitcoin tasks and 10 dedicated to WoT analysis, each serving a distinct role in the ecosystem.
The tool set offers comprehensive coverage for Nostr Web of Trust analysis, including scoring, network health, trust paths, and anomaly detection. Minor gaps exist, such as no direct tools for modifying or managing trust relationships (e.g., follow/unfollow actions), but agents can likely work around this given the strong analytical focus.
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