Skip to main content
Glama
630,737 tools. Updated 2026-10-02 21:21

"GDAL" matching MCP tools:

  • get_processing_providersA

    QGIS MCPC

    List all processing providers (native, GDAL, GRASS, SAGA, models) with algorithm counts and active status to identify missing algorithms.
    GPL 2.0

  • goalA

    jevnavA

    Drive browser automation toward a specified goal with an agent that chooses each step, accepts context variables, and verifies completion via a visible selector, returning the outcome and cost.
    Apache 2.0
    Destructive

  • create_batchA

    gpalA

    Submit multiple queries for asynchronous batch processing with approximately 50% cost discount. Queries run within 24 hours; results are retrieved after completion.
    MIT

  • dts_pingA

    dts-mcp-serverA

    Confirm DTS Engine is installed and reachable. Reports version, executables, and bundled GDAL to validate environment before running other tools.
    MIT

  • list_layersA

    geoanalisis-mcpA

    List all layers in a spatial data source (FileGDB, GeoPackage, Shapefile, GeoJSON, KML, etc.) with names and geometry types. Safe for large catalogs and lock files, preventing OpenFileGDB hangs.
    MIT

  • get_batch_resultsA

    gpalA

    Retrieve extracted text results from a completed batch job. Use the batch job name to access responses keyed by custom_id.
    MIT

Matching MCP Servers

  • GDAL MCP

    JordanGunn
    A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server providing geospatial analysis tools for raster and vector data, integrated with a reflection system that requires AI agents to justify their methodological decisions. It enables accurate mapping and spatial operations by ensuring reasoned choices for coordinate systems, resampling, and data transformations.
    80
    MIT

  • goal-engine

    melihzafer
    F
    license
    A
    quality
    D
    maintenance
    Provides persistent goal-tracking with external evaluation for agentic CLIs, enabling run-until-done loops where an agent works across turns until a condition is met.
    4
    -

Matching MCP Connectors

  • get_subclassesA

    GrafyxA

    Discover all subclasses of a given class recursively to assess the impact of interface changes and determine which code needs updating.
    MIT

  • consult_gemini_oneshotA

    gpalA

    Submit a single independent question to Gemini without maintaining session history. Suitable for one-off lookups or batch queries where context is unnecessary.
    MIT

  • list_file_storesA

    gpalA

    Retrieve all FileSearch stores with document counts and sizes. Monitor storage usage and manage your stores.
    MIT

  • list_modelsA

    gpalA

    Retrieve all accessible Gemini models, grouped by their supported actions like content generation or embedding.
    MIT

  • gemini_code_execA

    gpalA

    Execute Python code in a sandboxed environment using Gemini. Captures stdout, stderr, and execution results for analysis.
    MIT

  • create_file_storeA

    gpalA

    Create a semantic search store for code files. Upload files into the store, and Gemini automatically searches them during code analysis.
    MIT

  • get_batchA

    gpalA

    Retrieve the current status of a batch job by providing its name.
    MIT

  • delete_batchA

    gpalA

    Remove a completed batch job that has ended (succeeded, failed, or cancelled) by specifying its name.
    MIT
    Destructive

  • create_context_cacheA

    gpalA

    Cache large files (>32k tokens) with Gemini to reuse context across multiple turns, reducing processing overhead. Specify file URIs and model version.
    MIT

  • delete_file_storeA

    gpalA

    Delete a FileSearch store and all its documents, freeing up storage resources.
    MIT
    Destructive

  • upload_to_file_storeA

    gpalA

    Upload a file to a FileSearch store to enable semantic search. Files are chunked and embedded for retrieval.
    MIT

  • cancel_batchA

    gpalA

    Cancel a running batch job while preserving already-completed requests.
    MIT
    Destructive

  • consult_geminiA

    gpalA

    Analyze a codebase by asking questions. Gemini autonomously reads files, lists directories, and searches code to provide answers, eliminating the need to pre-read files.
    MIT

  • quick_addA

    gcal-fast-mcpA

    Create calendar events by typing plain-language descriptions—Google's NLP parser converts phrases like "Lunch with Sarah tomorrow at noon" into scheduled events on your chosen calendar.
    MIT