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Catalunya Open Data MCP

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Alternatives to Catalunya Open Data MCP

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    Related Servers

    • cat.idescat/mcp by idescat

      cat.idescat/mcpofficial

      idescat
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      Enables any MCP client to discover and query official Catalonia statistics through read-only tools and resources, including statistic catalogues, table metadata, filtered JSON-stat data, territorial breakdowns, and Markdown tables with source attribution.
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    • Opendata.cat MCP Server

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      Connects LLMs to over 2,850 datasets from 13 Catalan and Spanish open data portals, enabling natural language search and real-time queries of public data.
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    • Datos.gob.es-MCP

      AnCode666
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    • idescat-mcp

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      Provides access to Catalonia's statistical data via the IDESCAT Tables API v2. It enables users to navigate catalogs, inspect metadata, and query data with territorial filters and resolved labels.
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    • datos-gob-es

      pipeworx-io
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      quality
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      maintenance
      Enables AI agents to search and retrieve datasets, publishers, and themes from Spain's national open-data catalogue through keyless MCP tools or HTTP endpoints.
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    • MCP datos.gob.es

      Gurriato
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      quality
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      Enables searching and exploring Spain's National Open Data Catalog, letting users find datasets by title or theme, list available themes, retrieve full dataset records with publisher, license and distribution details, and obtain catalog totals via the official SPARQL endpoint. It connects over Streamable HTTP, SSE, or local stdio using the public keyless datos.gob.es API.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 22 tools

    Disambiguation5/5

    Each tool has a clear, distinct purpose within its data source group (BCN, IDESCAT, Socrata). Tools like bcn_plan_query, bcn_execute_city_query, and bcn_answer_city_query are complementary, not overlapping. Cross-group tools are clearly differentiated by prefix.

    Naming Consistency5/5

    Tool names follow a consistent pattern: {source_prefix}_{verb}_{noun}. For example, bcn_search_packages, idescat_get_table_metadata, socrata_describe_dataset. Naming conventions are uniform and predictable, aiding agent selection.

    Tool Count4/5

    22 tools is relatively high but justified by covering three distinct data platforms (BCN, IDESCAT, Socrata) with full discovery and query workflows. Each tool serves a specific step, and the count aligns with the server's broad scope.

    Completeness5/5

    For each data source, the tools cover the full lifecycle: discovery (search, list, recommend), metadata inspection, query execution, and specific operations like geospatial queries and place resolution. No obvious gaps in functionality.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources