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    Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.
    10
    2
    MIT
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    WordPress plugin exposing Rank Math SEO fields, JSON-LD schema, content snapshots, and cache purge as MCP tools through the official WordPress MCP Adapter. Verified writes with an additive-only safety gate, kill switches, and an audit log; pairs with EMCP for Elementor layout.
    3
    GPL 2.0
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    On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.
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    Apache 2.0
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    Local-first supply-chain CVE scanner. Scans project deps, system packages (Homebrew/apt), and IDE extensions (VS Code, JetBrains) via OSV, NVD, GHSA, EPSS, and CISA KEV. Listed in the official MCP Registry as io.github.DevInder1/tridentchain-security.
    3
    MIT
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    Live verifiable on-chain data for the $BOBAI token on BNB Chain: price computed from pair reserves × Chainlink (no price API), liquidity depth with LP-burn proof, buyback-and-burn audit trail, and fee-on-transfer-safe trade params. 13 read-only tools + 2 guided prompts, no API key.
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    MIT
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    MCP server for searching and retrieving stock images from Unsplash, Pexels, and Pixabay, with support for concurrent searches, normalized metadata, and image downloads.
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    MIT
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    MCP server exposing 40 best-practice product management skills plus workflows and lifecycle tools, instantly accessible to any AI via Model Context Protocol.
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    22 npm
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    Apache 2.0
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    MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.
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    67 PyPI
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    Apache 2.0
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    Provides LLMs with structured workflow guidance and next-step instructions for development procedures, ensuring consistent practices across projects.
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    MIT
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    An MCP server that helps AI agents plan and track software projects using the Conducted Development methodology, providing artifact validation, kickoff guidance, and project rituals.
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    55 npm
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    MIT