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    Local-first Microsoft Outlook MCP server: a single Go binary that manages calendar events and mail through the Microsoft Graph API over stdio, with tokens stored in the OS keychain and no Entra ID app registration required. Exposes four aggregate tools (calendar, mail, account, system) dispatched by an operation verb, with multi-account support and read-only and mail-gating modes.
    4
    45
    MIT
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    quality
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    Local MCP server for plain Markdown notes: list, read, create and search notes, and manage their tasks and Kanban board (move cards, toggle tasks, set start and due dates).
    2
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    98
    MIT
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    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    18
    3
    MIT
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    LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.
    10
    MIT
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    Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
    60 npm
    63
    Apache 2.0
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    Enables AI assistants to inspect a Crossplane control plane read-only, discovering managed, composite and claim resources, tracing composition trees, and explaining failures with events and reasons. It also surfaces package health, composition definitions and validation, environment and runtime configs, and overall diagnostics across multiple clusters.
    9
    Apache 2.0
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    Production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents built on OpenAI, Claude, or other platforms to query, explore, and analyse your data.
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    Enables AI clients to look up real Danbooru tags — exact names, aliases, categories, post counts, co-occurrence, wiki text, and the tag lists of actual posts — before composing image prompts. This tag verification noticeably improves prompt accuracy for local AI image generation.
    1
    MIT
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    Exposes three read-only tools that list local Agent and MCP runtime candidates, inspect running processes, and check a live runtime against an approved artifact expectation. Returns explicit verdicts such as matched, stale, leaked, conflict, unknown, or not running without exposing argv, environment values, or file contents.
    1
    Apache 2.0
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    Zero-dependency local proxy that wraps any MCP server to redact secrets, strip hidden-Unicode prompt injection, and block writes to protected paths like ~/.ssh and .env.
    4
    MIT
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    Unofficial MCP server for Hive (British Gas) smart heating. Lets Claude and other AI assistants check your thermostats, radiator valves, hot water, plugs and lights and, if you allow it, boost the heating, set temperatures, switch on the hot water and set holiday mode. Read-only by default, with an optional audit log of every change. Runs in Docker or as a one-click Claude Desktop bundle.
    MIT
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    MCP server for Reddit that fetches full comment threads and compresses them into compact tab-delimited format, reducing token usage by up to 94% vs JSON. Supports subreddit feeds, multi-subreddit search, user activity, and OAuth for higher rate limits.
    2
    MIT
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    Records how any command-line tool behaves (flags, stdin, outputs, exit codes, edge cases) as golden tests, then diffs a Rust or Go rewrite against the original to prove it behaves the same.
    4
    MIT
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    The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.
    473
    MIT
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    A Code Indexing MCP Server that connects AI coding assistants to external codebases, providing accurate and up-to-date code snippets to reduce mistakes and hallucinations.
    125
    Apache 2.0
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    Enables AI agents to scan directories, container images, and SBOMs for vulnerabilities, look up individual CVEs, and refresh the local vulnerability database. Findings come back prioritized with concrete upgrade targets rather than raw scanner output.
    1
    Apache 2.0