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MCP tools

MCP Connectors

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    Enables AI agents to query public astronomy catalogs via TAP, with schema discovery, bounded ADQL queries, and reproducible results including exact queries, limits, and assumptions.
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    MIT
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    A cooperative guardrail for AI agents that blocks destructive shell commands, SQL statements, or cloud operations until a human approves them out-of-band, with a tamper-evident local ledger.
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    AGPL 3.0
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    Official MCP server for Apache Drill, enabling read-only SQL queries and inspection of schemas, storage plugins, and cluster/query state.
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    Apache 2.0
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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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    Apache 2.0
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    Official MCP server for kintone, enabling AI assistants to manage kintone apps, records, and settings through natural language.
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    709 npm
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    Apache 2.0
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    A server that enables running SQL queries against IoTDB databases, providing data reading capabilities and schema information through a Model Context Protocol interface.
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    Apache 2.0
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    A Model Context Protocol server that enables coding agents to explore and query TimeBase, including listing streams, reading schemas and symbols, previewing messages, running QQL queries, and inspecting server status.
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    276 PyPI
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    Apache 2.0
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    Enables LLMs to safely query databases through a secure gateway that masks PII, enforces role-based table access, rate limits requests, and logs all queries, with Prisma support.
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    MIT
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    The official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.
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    3,375 PyPI
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    MIT
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    Connects LLMs to the ObjectLens REST API, enabling browsing S3-compatible buckets, searching indexed object metadata, and previewing object contents.
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    Apache 2.0
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    Enables AI assistants to interact seamlessly with IBM watsonx.data lakehouses using natural language for operations like querying, catalog browsing, engine management, and data ingestion.
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    729 PyPI
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    Apache 2.0
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    Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.
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    MIT
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    A Model Context Protocol (MCP) server for the dbatools PowerShell module. Exposes dbatools commands as MCP tools so AI assistants can discover, explain, and execute dbatools commands directly.
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    59 npm
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    MIT
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    MCP server for Power BI Desktop and .pbip projects, enabling DAX queries, model documentation, measure management, refresh, .pbix-to-.pbip conversion, and PBIR visual editing.
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    57 PyPI
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    Apache 2.0