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    An MCP server for chDB, the in-process SQL OLAP engine powered by ClickHouse. Lets agents query Parquet, CSV, JSON, and pandas DataFrames with one tool — no separate server, no Docker.
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    7
    Apache 2.0
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    Enables accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.
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    MIT
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    A FastMCP server for natural language data analysis that allows users to load CSV files, execute Python code with pandas and numpy, and generate matplotlib visualizations. It provides a suite of tools for data exploration, statistical summaries, and querying datasets through MCP-compatible clients.
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    An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.
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    MIT
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    Enables seamless interaction with Odoo instances through the Model Context Protocol, supporting CRUD operations, custom method execution, and real-time updates. It offers versatile communication via stdio and HTTP protocols, including support for streaming and Server-Sent Events.
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    MIT
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    Read-only MCP server providing access to Belarusian securities data: tokens, shares, bonds, companies, ticker search, and company name or UNP search.
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    MIT
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    Generates complete PyAirbyte data pipeline code and setup instructions for moving data between 600+ Airbyte source and destination connectors or to Pandas DataFrames, using AI-powered context-aware guidance based on connector documentation.
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    Enables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.
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    A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.
    Last updated