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    Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.
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    Apache 2.0
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    MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, etc.
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    MIT
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    Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.
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    MCP server for Nordic company registries. Verify companies, check board members, signing authority, and financial data across Norway, Denmark, Finland, and Sweden using official public APIs. 23 tools covering search, details, roles, and batch lookups.
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    Gives AI assistants real-time access to web data with the ability to scrape any website, bypass anti-bot systems, extract structured data, and capture screenshots through enterprise-grade infrastructure.
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    Gemini-powered code review. Offers review-only and review-and-commit modes with integrated Gitleaks security scanning.
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    Scheduled scans across all Binance spot and perpetual pairs using CEL rules (RSI, volume, MAs, price action). Runs server-side 24/7, fires webhooks on match, with delivery proof and alert explainability.
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    A fast, lightweight MCP server and CLI for Obsidian vaults built in Go. 16 multiplexed tools covering 72 actions for notes, search, templates, tasks, links, frontmatter, and vault analysis. Single binary, no plugins required.
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    Persistent memory engine for AI coding agents. Single Go binary, zero runtime dependencies, MCP-native. Stores, searches, and deduplicates memories across sessions using embedded SQLite with hybrid FTS + semantic search, memory decay, relation graph, and token-budget context assembly.
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    Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.
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    Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSON
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    MIT