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20 Best Vector Database MCP Servers: compared and ranked, November 2026Ranked from 1,822 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
    license
    A
    quality
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    maintenance
    Enables reading and analysis of vector spatial data through Claude Desktop, supporting formats like FileGDB, Shapefile, GeoJSON, and GeoPackage with tools for layer listing, schema inspection, field statistics, feature extraction, and interactive map rendering.
    9
    4
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A production-grade MCP server for enterprise sales analytics, enabling LLM clients to query, analyze, and visualize sales data from a SQLite database through structured tools, resources, and prompts.
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to query Oracle AI Database read-only, profile tables, and render result sets as PNG charts.
    7
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.
    3
    -
  • A
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    A
    quality
    D
    maintenance
    Enables advanced mathematical computation through MCP tools, including safe expression evaluation, symbolic solving and calculus, statistics, matrix and vector operations, and headless function plotting. It supports integration with MCP hosts such as Claude Desktop for natural-language math workflows.
    23
    MIT
  • A
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    B
    quality
    C
    maintenance
    An agentic MCP server for CSI ETABS v22+ that enables AI agents to model, load, analyze, design, and inspect building structures through 60 curated engineering tools and live .NET reflection of the full 1,293-method OAPI. Includes offscreen 3D rendering of deformed shapes and D/C ratios, interactive database table editing, and background analysis execution.
    71
    20
    Apache 2.0
  • A
    license
    C
    quality
    C
    maintenance
    A Model Context Protocol server for Metabase that enables AI assistants to interact with Metabase instances, providing 418 tools across 58 categories for database, card, dashboard, collection, user, permissions, and more management.
    100
    5 npm
    3
    MIT
  • A
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    quality
    B
    maintenance
    Enables ChatGPT's desktop Codex app to query a live 1C (1С) database through OData in read-only mode, so users can ask plain-language questions about sales, stock, items, and counterparties, and get answers, charts, and dashboards without exports or programming.
    4
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables clients to create, query and edit QGIS projects and vector data in an isolated, new headless PyQGIS process, exporting GeoJSON/GeoPackage, saving and reopening editable QGZ bundles, and rendering PNG maps through typed MCP tools. All operations are workspace-relative with strict path and geometry validation, and never attach to or modify a running QGIS desktop session.
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    OrionBelt Analytics is an MCP server that analyzes relational database schemas and generates RDF/OWL ontologies with embedded SQL mappings. It provides relationship-aware Text-to-SQL with automatic fan-trap prevention, GraphRAG for intelligent schema discovery, and interactive charting -- all accessible through any MCP-compatible AI client.
    126 PyPI
    56
    Business Source 1.1
  • A
    license
    Not graded
    quality
    C
    maintenance
    A real MCP server exposing data-analyst tools (SQL querying, schema introspection, stats, charting) over a sales database, with a Gemini agent that discovers and calls those tools at runtime via the standard MCP protocol.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to inspect geospatial vector and raster metadata and run bounded analysis on administrator-registered datasets, including planar buffering, clipping, spatial joins, and PNG map rendering delivered as checksummed artifacts. All data access is read-only and controlled through a curated dataset catalog.
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and access to climate, satellite, and other geospatial data through MCP-compatible clients.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides AI assistants with full access to Metabase analytics platform, enabling dashboard and card management, database queries, and schema operations through natural language.
    3,649 npm
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Acts as a bridge between AI assistants and StarRocks databases, enabling direct SQL execution, database and table exploration, schema/data overviews, and metric access without complex client-side setup. It also generates Plotly charts from query results and caches overviews in memory for faster repeated requests.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Bridges AI assistants with StarRocks databases so they can run read and write SQL queries, explore databases, tables, and schemas, inspect internal system metrics, and retrieve cached table or database overviews. It also turns query results into Plotly charts for quick data visualization.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to connect to StarRocks databases for direct SQL execution (queries and DDL/DML), database and table exploration, schema and data overviews, and Plotly chart visualization of query results. It also exposes internal StarRocks metrics and states, with in-memory caching and configurable connections via environment variables.
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