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    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
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    MIT
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    Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.
    MIT
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    Enables LLM agents to interact with the MOSTLY AI Platform for generating synthetic data, including training generators, managing data connectors, executing queries, and generating synthetic datasets with OAuth 2.1 authentication.
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    Apache 2.0
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    Enables AI agents to perform professional-grade geoprocessing tasks such as buffers, overlays, reprojections, and terrain analysis with deterministic tools and verifiable provenance.
    AGPL 3.0
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    Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.
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    MIT
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    Enables AI assistants to access and manage personal financial data from US institutions and manual entries, including transactions, balances, liabilities, and investments.
    MIT
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    Eunomia MCP Server is an extension of the Eunomiaframework that connects Eunomia instruments with servers. It provides a simple way to orchestrate data governance policies (like PII detection or user access control) and seamlessly integrate them with external serve
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    Apache 2.0
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    Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.
    MIT
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    A FastAPI-based application that implements the Model Context Protocol for lead prospecting, allowing users to retrieve business leads from different data sources like Mantiks through a clean architecture.
    20
    Apache 2.0
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    Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.
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    Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.