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91,236 servers. Updated
20 Best Jira MCP Servers: compared and ranked, September 2026Ranked from 547 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables agents to reconcile piping material take-offs against Plant 3D SCSA exports by previewing diffs and applying quantity corrections, insertions, and gated removals with dry-run and explicit confirmation flags.
    2
    MIT
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    Enables AI agents to work with a real Excel-compatible spreadsheet engine, allowing them to create and manipulate structured data blocks, write and evaluate formulas, and save genuine .xlsx files with live formulas for human verification and reuse.
    2
    31
    202 npm
    41
    MIT
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    This MCP server enables database migration between heterogeneous systems (Oracle, PostgreSQL, SQL Server, Netezza to PostgreSQL or SQL Server) through AI assistants by providing tools for command preview, execution, validation, and workflow suggestions.
    6
    MIT
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    Enables AI assistants to read, create, and modify SAP BW/4HANA modeling objects via the internal REST API, including aDSOs, InfoObjects, transformations, DTPs, queries, and more.
    107
    250 npm
    63
    MIT
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    Read-only-by-default MCP server for Datanika, an open-source dlt + dbt-core data pipeline platform: browse connections, introspect and preview source tables, compile and run dbt transformations, and monitor pipeline runs. 25 tools (17 read-only, plus 8 write tools gated behind --allow-write); source lives in the datanika-mcp/ subdirectory of the repo.
    25
    AGPL 3.0
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    MCP server for Dataiku DSS REST APIs, enabling flow analysis and day-to-day operations on projects, datasets, recipes, jobs, scenarios, folders, variables, connections, and code environments.
    9
    23 npm
    MIT
  • F
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    MCP server for the BAIC Data Layer. Provides tools to manage sources, knowledge bases, knowledge clusters, run data agents, and create/manage pipelines.
    36
    -
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    Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.
    6
    14 npm
    2
    MIT
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    Provides AI assistants with versioned guidance for Kedro projects, including notebook conversion and project migration.
    3
    229 PyPI
    3
    Apache 2.0