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"Accessing Hevy workout tracking app data" matching MCP servers:

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    A Model Context Protocol (MCP) server implementation that interfaces with the Hevy fitness tracking app and its API. This server enables AI assistants to access and manage workout data, routines, exercise templates, and more through the Hevy API (requires PRO subscription).
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    MIT
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    A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.
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    MIT
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    Enables generating presentations, documents, webpages, and social posts via Gamma's API with full parameter surface including templates, folders, headers/footers, and email sharing.
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    MIT
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    MCP server providing access to Brazilian public data (CNPJ, CEP, banks, holidays) via BrasilAPI. For Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients.
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    Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.
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    MIT
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    The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.
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    Sleepycat
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    France Data MCP lets AI agents query, cross-reference and automatically enrich multiple French public registries through a unified MCP interface. France Data MCP provides a French territorial intelligence layer designed for multi-source reasoning and agentic orchestration.
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    MIT
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    Searches and fetches research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics archives (GEO/SRA/BioProject), and the literature (PubMed/OpenAIRE) through one normalized model — deduplicating by DOI, expanding organism queries with NCBI Taxonomy synonyms, and bridging papers to the datasets they produced. Resolves citations and open-access full text, and downloads files.
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    MIT
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    A single MCP server that transparently routes user requests to 83 open-data sources with built-in discovery and autonomous plugin creation.
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    MIT
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    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
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    MIT
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    Provides real-time market data tools (quotes, news, earnings calendar, watchlist scanner, and composite analysis) for AI agents via Finnhub, with optional Alpaca broker integration and graceful degradation.
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    MIT
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    An MCP server for discovering, downloading, querying, and analyzing datasets from Ontario's open data portals, allowing natural language questions and high-performance analytics via DuckDB.
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    MIT