BigQuery MCP Server alternatives

1

mcp-graphql

Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

319 54 MCP

2

XiYan MCP Server

A server enabling natural language queries to SQL databases via the Model Context Protocol.

XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.

218 43 MCP

3

Databricks MCP Server

Expose Databricks data and jobs securely with Model Context Protocol for LLMs.

Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.

42 24 MCP

4

Databricks Genie MCP Server

Bridge natural language queries to Databricks Genie via Model Context Protocol.

Databricks Genie MCP Server enables interaction between large language models and the Databricks Genie API using the Model Context Protocol. It allows users to ask natural language questions, start and manage conversations, and run SQL queries in Genie spaces. The tool provides structured results, supports follow-up queries, and facilitates connection through both standard and Docker-based setups. Designed for use with Claude Desktop, it streamlines conversational analytics within Databricks workspaces.

12 2 MCP

5

Multi-Database MCP Server (by Legion AI)

Unified multi-database access and AI interaction server with MCP integration.

Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

76 19 MCP

6

Alkemi MCP Server

Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

2 1 MCP

7

@dealx/mcp-server

MCP server enabling LLMs to search and interact with the DealX platform.

Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.

0 2 MCP

8

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

9

MongoDB MCP Server

A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

172 33 MCP

10

YDB MCP

MCP server for AI-powered natural language database operations on YDB.

YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

24 7 MCP

11

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

12

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

13

mcp-server-ledger

Model Context Protocol server for interacting with Ledger CLI via AI assistants.

mcp-server-ledger provides a standardized Model Context Protocol interface for the Ledger CLI, enabling AI-driven querying and analysis of double-entry accounting data. It exposes key Ledger CLI commands as tools accessible by Large Language Models for financial reporting, budget analysis, and account management. It supports deployment via Docker, Smithery, or 'uv', and requires a valid ledger file and appropriate environment setup.

35 7 MCP

14

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

15

SkySQL MCP Server

Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

2 3 MCP

16

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

17

dolphindb-mcp-server

A FastMCP-compatible server plugin for DolphinDB database operations.

dolphindb-mcp-server provides a plugin service enabling external tools to interact with DolphinDB databases through standardized MCP interfaces. The server exposes commonly used functions for listing databases and tables, querying table disk usage, and executing scripts via the FastMCP protocol. It supports flexible installation methods and environment configuration, allowing seamless integration with LLM toolchains or MCP frontends.

4 3 MCP

18

MCP Alchemy

Directly connect Claude Desktop to SQL databases for expert AI-powered analytics.

MCP Alchemy enables seamless integration between Claude Desktop and a wide range of SQL databases through the Model Context Protocol. It empowers Claude to explore database structure, write and validate SQL queries, analyze relationships between tables, and process large datasets for reporting. The tool is compatible with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and any SQLAlchemy-compatible database.

358 54 MCP

19

Supabase MCP Server

Connect Supabase projects to AI assistants using the Model Context Protocol.

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

2,263 253 MCP

20

OpenLink MCP Server for JDBC

A lightweight Java-based MCP server enabling model context protocol integration with any JDBC-compatible database.

OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

8 7 MCP

21

Nile MCP Server

A Model Context Protocol (MCP) server for managing databases on the Nile platform through standardized interfaces.

Nile MCP Server implements the Model Context Protocol to enable seamless integration between LLM applications and the Nile database platform. It provides standardized APIs for database and credential management, SQL execution, and region discovery. Written in TypeScript, the server focuses on type safety, comprehensive error handling, and robust input validation. It supports easy installation and integration with Claude Desktop for advanced AI workflows.

16 9 MCP

22

Docker Hub MCP Server

Expose Docker Hub APIs to LLMs via the Model Context Protocol.

The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

83 61 MCP

23

Prisma MCP

Bridging LLMs and databases through standardized API protocols

Prisma MCP provides local and remote MCP servers that enable large language models (LLMs) to access and manage Prisma Postgres databases using the Model Context Protocol. It exposes a suite of structured tools for database operations like creation, backup, recovery, introspection, and executing SQL queries. The platform enables secure, permissioned interactions and integrates seamlessly with development workflows and AI platforms.

32 2 MCP

24

MCP libSQL by xexr

Secure, protocol-compliant libSQL database server for MCP-enabled clients.

MCP libSQL by xexr provides a Model Context Protocol (MCP) server designed for secure database access and management via libSQL. It enables database operations—such as querying, table management, and schema inspection—through standardized MCP tools, ensuring compatibility with clients like Claude Desktop and Cursor. The project emphasizes robust security validation, audit logging, and comprehensive error handling. Users benefit from production-ready deployment, extensive test coverage, and streamlined integration with MCP-compatible platforms.

16 3 MCP

25

TeslaMate MCP Server

Query your TeslaMate data using the Model Context Protocol

TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

106 14 MCP

26

Airtable MCP Server

Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

45 17 MCP

27

LlamaCloud MCP Server

Connect multiple LlamaCloud indexes as tools for your MCP client.

LlamaCloud MCP Server is a TypeScript-based implementation of a Model Context Protocol server that allows users to connect multiple managed indexes from LlamaCloud as separate tools in MCP-compatible clients. Each tool is defined via command-line parameters, enabling flexible and dynamic access to different document indexes. The server automatically generates tool interfaces, each capable of querying its respective LlamaCloud index, with customizable parameters such as index name, description, and result limits. Designed for seamless integration, it works with clients like Claude Desktop, Windsurf, and Cursor.

82 17 MCP

28

Quarkus Model Context Protocol Servers

Extensible Java-based servers implementing the Model Context Protocol for context-aware LLM integrations.

Quarkus Model Context Protocol Servers offers a collection of Java-based servers implementing the Model Context Protocol (MCP) to extend the capabilities of language model applications. Built with the Quarkus MCP server framework, it enables integration with JDBC databases, JVM processes, file systems, JavaFX, Kubernetes, containers, and Wolfram Alpha. The project allows easy deployment and extension of context-aware services for AI applications via MCP. Its servers can be run across different environments using jbang and are easily extensible for new capabilities.

176 46 MCP

29

MCP ChatGPT Server

Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

14 8 MCP

30

GitHub GraphQL MCP Server

A Model Context Protocol server for executing arbitrary GraphQL queries on GitHub's API.

GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.

9 4 MCP

31

mcp-server-docker

Natural language management of Docker containers via Model Context Protocol.

mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

648 86 MCP

32

Raindrop.io MCP Server

Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

63 15 MCP

33

APISIX Model Context Protocol Server

Bridge LLMs with APISIX for natural language API management.

APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

29 9 MCP

34

PGMCP

Natural language PostgreSQL interface via the Model Context Protocol.

PGMCP enables seamless interaction with any PostgreSQL database through natural language queries, translating user intent into structured SQL results. It acts as a Model Context Protocol (MCP) server, connecting AI assistants and MCP-compatible clients to databases with features like streaming, robust error handling, and optional AI-powered SQL generation. The tool ensures secure, read-only access to existing databases using HTTP/MCP protocol. Compatibility includes tools such as Cursor, Claude Desktop, and VS Code extensions.

499 53 MCP

35

MCP 数据库工具 (MCP Database Utilities)

A secure bridge enabling AI systems safe, read-only access to multiple databases via unified configuration.

MCP Database Utilities provides a secure, standardized service for AI systems to access and analyze databases like SQLite, MySQL, and PostgreSQL using a unified YAML-based configuration. It enforces strict read-only operations, local processing, and credential protection to ensure data privacy and integrity. The tool is suitable for entities focused on data privacy and minimizes risks by isolating database connections and masking sensitive data. Designed for easy integration, it supports multiple installation options and advanced capabilities such as schema analysis and table browsing.

85 9 MCP

36

mcp-memgraph

Expose Memgraph database features via the Model Context Protocol.

mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

52 5 MCP

37

Perplexity MCP Server

MCP Server integration for accessing the Perplexity API with context-aware chat completion.

Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.

85 35 MCP

38

Prometheus MCP Server

Access and analyze Prometheus metrics through standardized MCP interfaces.

Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

282 64 MCP

39

Fantasy Premier League MCP Server

Enables rich access to Fantasy Premier League data via the Model Context Protocol.

Fantasy Premier League MCP Server is a Model Context Protocol (MCP) server that provides streamlined access to Fantasy Premier League (FPL) data, including player statistics, team information, and gameweek details. It allows users to interact with and compare FPL player data, search teams and players, and integrate seamlessly with Claude Desktop and other MCP-compatible clients. Designed for both quick CLI usage and deep AI integration, it ensures comprehensive coverage for FPL enthusiasts and AI-powered desktop tools.

65 19 MCP

40

mcp-server-chatsum

Summarize and query chat messages using the MCP Server protocol.

mcp-server-chatsum is an MCP Server designed to summarize and query chat messages. It provides tools to interact with chat data, enabling users to extract and summarize message content based on specified prompts. The server can be integrated with Claude Desktop and supports communication over stdio, offering dedicated debugging tools via the MCP Inspector. Environment variable support and database integration ensure flexible deployment for chat data management.

1,024 99 MCP

41

Qlik MCP Server

Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.

Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

7 5 MCP

42

MCP Server for Data Exploration

Interactive Data Exploration and Analysis via Model Context Protocol

MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

503 63 MCP

43

MCP Server ODBC via SQLAlchemy

A lightweight FastAPI server enabling model context protocol access to ODBC-compatible databases via SQLAlchemy.

MCP Server ODBC via SQLAlchemy provides a lightweight, FastAPI-based server that implements the Model Context Protocol (MCP) for accessing ODBC-compatible databases. It bridges AI tools and database systems by exposing standardized endpoints for fetching schema, tables, table descriptions, and executing queries or stored procedures. With support for Virtuoso, PostgreSQL, MySQL, and SQLite, it allows seamless, structured, and context-aware database access for context-driven applications.

19 8 MCP

44

Google Ads MCP Server

Seamlessly connect Google Ads API to MCP clients with automatic authentication and querying.

Google Ads MCP Server is a FastMCP-powered Model Context Protocol server designed to integrate Google Ads API with MCP clients such as Claude Desktop. It provides automatic OAuth 2.0 authentication, smart token management, GAQL query execution, and keyword research tools. The server enables users to manage accounts, run advanced queries, and generate keyword ideas while maintaining secure local token storage. Optimized for one-click setup, it offers robust features for advertisers and developers looking to leverage Google Ads data with MCP-compatible tools.

76 26 MCP

45

docker-mcp

A powerful MCP server for seamless Docker container and compose stack management.

docker-mcp is a Model Context Protocol (MCP) server that enables robust Docker container and compose stack management via Claude AI. It offers easy installation through Smithery or manual setup, supporting container creation, Docker Compose stack deployment, log retrieval, and monitoring. Integration with the Claude Desktop app is straightforward, and the included MCP Inspector aids debugging. This tool simplifies Docker operations for automation and AI model interactions.

419 57 MCP

46

QA Sphere MCP Server

Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

15 6 MCP

47

OpenLink MCP Server for ODBC

MCP-compatible ODBC server enabling LLMs to access diverse databases.

OpenLink MCP Server for ODBC provides a TypeScript-based server that implements the Model Context Protocol (MCP), facilitating seamless access for Large Language Models to ODBC-accessible data sources. Built on top of node-odbc, it enables actions such as schema and table discovery, SQL query execution, and database introspection. The server supports a wide range of ODBC drivers and robust environment configuration, making it adaptable to multiple database backends and use cases. By leveraging the MCP standard, it simplifies and standardizes how LLMs interface with structured data via ODBC.

9 5 MCP

48

gqai

Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.

gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.

21 4 MCP

49

mcp-server-sql-analyzer

MCP server for SQL analysis, linting, and dialect conversion.

Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

26 5 MCP

50

Balldontlie MCP Server

Sports data access via Model Context Protocol for LLMs

Balldontlie MCP Server provides an MCP-compliant interface to the Balldontlie API, offering NBA, NFL, and MLB data to downstream AI models and applications. It supports retrieving information about teams, players, and games, and includes features like schedule generation for various leagues. The server is easily installable via Claude Desktop, Smithery, or LibreChat, and integrates with LLMs to allow natural-language sports queries.

18 10 MCP

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