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"Free and open-source GPS without an API" matching MCP servers:

  • A
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    A
    quality
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    Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.
    6
    2
    MIT
  • A
    license
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    quality
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    maintenance
    Enables natural language management of Apache Airflow workflows, including DAG monitoring, task control, and configuration, via the Model Context Protocol.
    54
    MIT
  • A
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    quality
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    A FastAPI-based application that implements the Model Context Protocol for lead prospecting, allowing users to retrieve business leads from different data sources like Mantiks through a clean architecture.
    20
    Apache 2.0
  • F
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    quality
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    Exposes SAP BW/4HANA ADT operations as MCP tools for LLM clients, with a local-file buffering layer to handle large XML payloads and table data efficiently.
  • F
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    腾讯广点通API网关服务,通过MCP工具调用广点通报表、账户等核心接口,支持安全认证和参数修复。
  • F
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    quality
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    An MCP server that provides Large Language Models with access to YNAB (You Need A Budget) budgets, allowing them to fetch budget data including accounts, categories, and category groups.
    6
  • F
    license
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    quality
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    maintenance
    Enables interaction with the Unstructured API to manage data workflows, including creating and managing source connectors (S3, Azure, Google Drive, etc.), destination connectors (Weaviate, Pinecone, MongoDB, etc.), and workflows for document processing and data pipelines.
  • F
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    quality
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    A FastMCP-based server that provides tools for API discovery and execution, hierarchical category management, and SQL query execution through the Model Context Protocol.
  • F
    license
    B
    quality
    B
    maintenance
    Read-only MCP server wrapping the Redash REST API, enabling query listing, execution, data source inspection, and dashboard retrieval with optional per-user API key support.
    7
  • A
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    quality
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    Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.
    MIT