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    An open-source Model Context Protocol application management platform that allows users to create applications from GitHub repositories with automatic information extraction and database integration.
    182 npm
    2
    MIT
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    Multi-datasource MCP server that connects AI assistants to 6 database types (MySQL, PostgreSQL, ClickHouse, MongoDB, SQLite, Huawei DWS) with dynamic configuration, encrypted credential storage, and schema discovery.
    MIT
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    Enables answering questions about Ukrainian open data from the data.gov.ua CKAN portal by searching datasets, inspecting resource schemas, and running read-only SQL aggregates over a single tabular resource. Every data-backed answer is computed from retrieved data and returned with machine-readable provenance, and unsupported or unanswerable requests are refused rather than guessed.
    3
    MIT
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    Double-entry books an agent keeps as the user, on your own Postgres or Supabase: invoices, VAT returns, bank reconciliation, financial statements and 130 country packs.
    41
    AGPL 3.0
  • A
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    A multi-database MCP server that enables LLM agents to safely access MySQL, Oracle, DM, PostgreSQL, and SQLite databases with security features like whitelist, row count pre-check, and audit logging.
    3
    MIT
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    Provides specialized tools for portfolio health analysis, rebalance simulations, and trade execution via a single interface powered by MongoDB. It enables AI agents to manage investment portfolios while adhering to organizational governing rules, clearance guards, and rate limits.
    1
    MIT
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    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0
  • A
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    maintenance
    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
    13
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI clients to search and read over 2,400 New York City public datasets through the Socrata SODA API, with ready-made tools for restaurant health inspections and 311 service requests plus general dataset discovery and querying.
    4
    MIT
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    A
    quality
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    maintenance
    Enables AI agents to search, fetch, and cross-reference the 280+ datasets of the Cambridge MA Open Data Portal, combining catalog discovery with cross-dataset SQL to answer natural-language civic-data questions from real analysis rather than single-table lookups. Public dataset reads and catalog search work without any credentials, and the same tools power a companion Skill and worked tutorials.
    8
    MIT
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    quality
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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP Ariba Source (beta): https://www.cdata.com/download/download.aspx?sku=PBZK-V&type=beta
    MIT
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    maintenance
    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta
    1
    MIT
  • A
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    Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.
    42 npm
    MIT
  • A
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    quality
    C
    maintenance
    Enables natural-language, read-only queries against the campus systems a user is authorized to access, covering schedules, exams, grades, notices, library resources, and personal workflows while returning source, scope, and gap information.
    MIT
  • A
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    quality
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    maintenance
    MCP server to query public open data from Recife, Brazil using natural language. It exposes tools for schema exploration and SQL query generation via Gemini 2.5 Flash, backed by a local DuckDB database.
    1
    MIT
  • A
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    quality
    A
    maintenance
    Enables LLM clients such as Cursor and Claude to discover and use generated REST services through MCP tools for create, update, and delete actions and MCP resources for list and get-by-id context. Services generated in one command are exposed simultaneously as REST endpoints and MCP tools and resources.
    MIT
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    maintenance
    Exposes generated CRUD services to LLM clients over the Model Context Protocol, providing tools for create, update, and delete actions plus read-only resources for listing and fetching records by id. It lets assistants like Claude, ChatGPT, and Cursor discover and manipulate the same data served by the project's REST endpoints without any extra glue code.
    MIT
  • A
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    quality
    A
    maintenance
    Exposes every generated CRUD service to LLM clients such as Claude, ChatGPT, or Cursor through discoverable MCP tools for create, update, and list actions plus read-only resources, so models can query and manipulate data without raw HTTP calls. It runs alongside the same codebase's REST endpoints, letting clients and AI share one data layer.
    MIT
  • A
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    quality
    A
    maintenance
    Enables LLMs to discover and invoke generated CRUD tools and resources, allowing AI assistants to interact with the same data exposed by the REST API. Supports MCP clients such as Cursor and Claude over HTTP.
    MIT
  • A
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    quality
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    maintenance
    Enables LLMs to discover and invoke generated API actions as MCP tools and read context through MCP resources for list and get-by-id operations. It provides HTTP-based MCP access for clients such as Cursor and Claude without extra glue code.
    MIT