Skip to main content
Glama
70,094 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Indexing a codebase for accessible contextual queries" matching MCP servers:

  • F
    license
    -
    quality
    B
    maintenance
    MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.
  • F
    license
    B
    quality
    B
    maintenance
    Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
    7
  • A
    license
    -
    quality
    C
    maintenance
    Provides free Chinese A-share stock data including real-time quotes, historical K-lines, market scanning, and multi-factor stock screening via BaoStock and Sina Finance APIs.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.
    4
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for structured Australian macroeconomic and financial data from the Australian Bureau of Statistics (ABS), the Reserve Bank of Australia (RBA), and the Australian Prudential Regulation Authority (APRA).
    4
    14
    2
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Provides access to the USGS Quakes API within Claude Desktop, enabling users to retrieve earthquake data and details through natural language queries.
    1
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Exposes Denmark's Statistical Bureau API as programmable resources, making it easy to integrate with language models and modern AI applications to enable natural language queries for statistical data.
    18
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables natural language access to Denmark's Statistics API (Danmarks Statistik), allowing users to query and analyze Danish statistical data without coding knowledge through AI-powered interactions.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to search, explore, and query any CKAN open data portal through natural language, making public datasets accessible without requiring knowledge of the portal's API.
    20
    1,179
    57
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables LLM agents to query US macroeconomic time series from FRED, including GDP, CPI, unemployment, and interest rates, for contextual research.
    6
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.
    26
    Apache 2.0
  • A
    license
    A
    quality
    F
    maintenance
    A server implementation for interacting with Wikidata API using the Model Context Protocol, providing tools for searching identifiers, extracting metadata, and executing SPARQL queries.
    5
    48
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Provides AI-ready access to Indian government statistics through MCP, enabling natural language queries for economic, demographic, and social indicators.
    135
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables real-time weather queries for 12 major Chinese cities and global cities via wttr.in API, with tools like get_weather and list_supported_cities.
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    MCP server for NASA POWER climate data, offering a climatology tool to retrieve long-term monthly averages for any coordinate. Supports natural language queries through the Pipeworx gateway.
    6
    MIT