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    Wine pairing intelligence for AI assistants. 7 MCP tools for sommelier-grade wine recommendations: pair wines with meals, ingredients, or recipe URLs, reverse pairing, group dinner planning, and search. Powered by a proprietary Wine DNA algorithm with 600+ wine archetypes. Supports API key and x402 (USDC on Base) autonomous agent payments.
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    99 npm
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    MIT
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    Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.
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    113 npm
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    Apache 2.0
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    Local-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.
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    Apache 2.0
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    Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.
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    Enables AI builders to discover trending open-source projects for a given task by ranking repos based on GitHub momentum, npm/PyPI growth, and Hacker News buzz, with tools to recommend, search, assess health, and compare repositories.
    4
    MIT
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    Search the hpt.su registry of Russian/EAEU vehicle compliance documents — type approvals, conformity certificates, declarations and type-approval notifications.
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    MIT
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    Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
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    A comprehensive MCP server providing 30 tools for geocoding, routing, and OpenStreetMap data analysis. It enables AI assistants to search for locations, calculate travel routes, and perform quality assurance checks on map data.
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    492 npm
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    MIT
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    Enables AI assistants to search, validate, and edit OpenStreetMap data through natural language commands and built-in safety protections. It supports discovery of nearby amenities, geographic data exploration, and secure map editing via OAuth authentication.
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    131 PyPI
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    MIT
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    Exposes Dooor OS workspace capabilities to MCP-compatible AI clients, enabling natural language querying of data sources, app and deployment inspection, agent and database management, and governance trace reading.
    MIT
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    Enables corpus-grounded research over Lacanian seminar and écrits texts by retrieving passages, building evidence contracts, and returning only answers whose claims survive citation and entailment validation — abstaining instead of answering from model knowledge. It also exposes the corpus for direct reading and lets users audit every claim back through answer → claim → passage → session → seminar → witness/source.
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    Apache 2.0
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    Enables reading and mutating Google Ads campaigns via MCP tools, and includes structured marketer workflows for search term mining, budget optimization, and weekly reviews.
    52 npm
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    MIT
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    AI-powered access to OSDU subsurface data through natural language, enabling AI assistants to interact with the OSDU platform via conversational interfaces for search, schema management, records, and compliance.
    43 PyPI
    1
    Apache 2.0
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    Enables AI agents and LLM clients to autonomously run deep username and email OSINT scans across thousands of platforms, recursively pivoting on exposed handles, profile links, and secondary addresses while enriching results with rich profile metadata. It also exposes a dynamic catalog so agents can discover available modules and categories before scoping targeted scans.
    MIT
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    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
    38
    Apache 2.0
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    A Python-based MCP server that provides access to Ordnance Survey APIs, allowing querying of geographic data through a standardized protocol with features like collection management, feature search, and spatial filtering.
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    MIT
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    Enables AI agents to create, search, and manage subject matter expert profiles, including private workspace organization and moderated sharing to a common library.
    MIT
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    MCP server providing persistent memory, semantic search, versioned storage, webhook fanout, and unified LLM routing for AI agents via FastAPI runtime with multiple backend options.
    35
    Apache 2.0
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    Enables AI agents to discover open-source libraries worth reusing through multi-signal repository ranking and to search real code with sub-50ms local regex/semantic queries federated to live GitHub, grep.app, and package-registry backends. It exposes seven tools over stdio—repo search, code search, repo profile/tree, file and docs fetching, and a usage guide—with structured filters, typed pre-execution errors, and a byte-identical CLI twin.
    MIT
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    An MCP server that pulls PageSpeed Insights and Google Search Console data across multiple owned sites, enabling cross-site performance reports and synthesis via Claude.
    MIT
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    Enables AI agents to search and retrieve source-grounded memory records from a local Markdown vault and SQLite index, and to build bounded task contexts through stdio MCP. Supports normal and bounded tool modes while respecting scope, lifecycle status, and response limits.
    Apache 2.0