"Bitcoin SV" matching MCP servers:

Provides live Bitcoin network data (fees, mempool, hashrate) and AI-powered price/fee forecasts via MCP tools, with free access to basic data and pay-per-call for advanced features.

Let any MCP client issue and verify EU AI Act Article 50 transparency receipts for AI-generated content, anchored to Bitcoin.

Bitcoin-anchored provenance for AI outputs; enables stamping, verifying, and tracing outputs with offline-verifiable canonical roots.

Give your AI agent PDF summarization, code review, translation, web extraction, document comparison, and persistent memory — all paid autonomously via Bitcoin Lightning.

MCP server that intelligently modifies CVs based on job descriptions using keyword extraction and strategic enhancement.

Provides local-first audio/video analysis by downloading media, transcribing it, and returning structured labels for topics, sentiment, sensitivity flags, and a publish/review/block gate.

Enables AI agents to interact with a Stable Diffusion REST API for image generation, inpainting, model management, and merging.

MCP server offering 26 Lightning-paid tools for Bitcoin mempool intelligence and sovereign on-prem AI inference, with no third-party APIs and pay-per-call in sats.

Enables AI-powered operations on WordPress sites, integrating multiple LLM providers and providing MCP server capabilities for chat, tools, and automation.

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

Enables MCP clients to manage LLM inference memory through virtual paged-attention KV-cache block mapping, non-contiguous physical page allocation, zero-copy fragmentation tracking, radix-trie prefix caching, INT8 quantized compute, and speculative decoding verification. It also exposes prefill and decode latency telemetry so edge deployments can be benchmarked and tuned without external dependencies.

Enables edge AI agents to optimize inference memory and latency by mapping logical blocks to non-contiguous physical pages, tracking fragmentation, and exposing related MCP tools.

A fast, lightweight MCP server implementation for building and running custom AI tools with seamless integration.

AI-powered job matching and CV generation tool that searches jobs on LinkedIn and Seek, analyzes CV fit, and generates tailored CVs.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Maps Salesforce metadata into a Neo4j graph database, enabling AI agents to reason about schema and generate accurate SOQL queries.

Enables AI agents to run cross-platform batch photo-processing workflows—including RAW decoding, adjustments, noise reduction, white balance, LOG restoration, EXIF tagging, deduplication, selection, HTML galleries, folder watching, and presets—through a unified versioned JSON contract. It also exposes MCP tools for processing, suggestions, autopilot, indexing, search, selection, HDR, face blurring, and more.

26651 agents scanned 48137 SHA-256 blocks in an immutable chain 1169 Bitcoin anchors submitted 788 confirmed on-chain 49.7 $TRUST tokens earned by 5 agents 0 tokens bought — all earned through behavior

Integrates AI editors with Semantic Voxel Protocol projects, enabling project status queries, AI-driven compilation across levels, and block management through MCP tools and resources.

An MCP server that provides memory management tools for AI agents, enabling adding, searching, updating, and deleting memories via the Mem0 API.