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    The Token-Curated GitLab MCP Server: 80%+ Context Window Savings. Every time your agent fetches a pipeline with other servers, it wastes 1,600 tokens of avatar URLs, internal links, and HTML fluff. With @sumirati/mcp-gitlab, that drops from 1,840 to 190 tokens.
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    MIT
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    MCP server for GitLab that provides 85 tools covering issues, merge requests, repositories, CI/CD, wiki, packages, and attachments, with support for both gitlab.com and self-hosted instances. It can read attachments so models can see screenshots and other files.
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    300 npm
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    MIT
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    Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.
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    MIT
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    Read-only XRPL token and wallet checks with issuer-aware explanations, impersonation checks and spoken summaries. Built for Zach Riehn's XRP Ledger Trading Lab by AI coding agents under Zach's direction. Never signs or sends transactions; findings describe observed ledger evidence, not a guarantee of safety or investment advice. Try it: https://cocoeatsai.com/trading-lab/token-guard/
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    MIT
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    The Token Metrics Model Context Protocol (MCP) server provides comprehensive cryptocurrency data, analytics, and insights through function calling. This server enables AI assistants and agents to access Token Metrics' powerful API for real-time crypto market data, trading signals, price predictions, and advanced analytics.
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    An MCP server that enables communication with GitLab repositories, allowing interaction with GitLab's API to manage projects, issues, and repositories through natural language.
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    103,930 npm
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    Provides read-only $dasha Solana token market data to AI agents, including price, liquidity, market stats, and Jupiter swap quotes, with no transaction signing or wallet access.
    Apache 2.0
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    A Model Context Protocol server that enables AI assistants to interact with GitLab repositories, allowing tasks like managing merge requests, searching projects, and creating comments through RESTful API integration.
    12 npm
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    Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.
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    139 npm
    MIT
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    Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.
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    Apache 2.0
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    Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.
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    475 npm
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    MIT
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    Local MCP server giving AI coding agents (Claude Code, Cursor, VS Code/JetBrains Copilot) a shared, persistent memory of your projects and every bug/issue faced during development. Stateless, plain-file storage (AGENTS.md + issues.jsonl) — no database.
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    28 npm
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    Enables AI assistants to query live football data, including fixtures, live scores, standings, statistics, betting odds, and full odds movement history for corner and card lines.
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    17 npm
    MIT