Query MCP server for Supabase - Alternatives & Competitors
Open-source MCP server for secure and managed Supabase project operations.
Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.
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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 -
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Snowflake MCP Server
MCP server enabling secure and structured Snowflake database interaction with AI tools.
Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.
170 75 MCP -
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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 -
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Postgres MCP Pro
A Model Context Protocol server for advanced PostgreSQL management, tuning, and AI-powered context.
Postgres MCP Pro is an open-source Model Context Protocol (MCP) server designed to enhance the entire PostgreSQL lifecycle, from development and testing to production tuning and maintenance. It provides deep database health analysis, intelligent index tuning, query plan optimization, schema-aware SQL generation, and safe SQL execution with robust access controls. The solution supports both standard input/output and server-sent events transports, enabling integration with AI agents for automated or context-aware database operations.
1,487 166 MCP -
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MySQL MCP Server
Secure MCP interface for MySQL database interaction with AI applications.
MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.
980 203 MCP -
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MCP Server for MySQL - Claude Code Edition
A Model Context Protocol MySQL server with SSH tunnels, optimized for Claude Code.
MCP Server for MySQL - Claude Code Edition provides an implementation of the Model Context Protocol for secure, context-driven access to MySQL databases. It enables AI tools, such as Claude Code, to access and manipulate database schemas and data through SSH tunnels, supporting multi-project setups and automated management. The server offers advanced configuration options and permission controls for safe interaction with remote databases.
902 262 MCP -
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Hydrolix MCP Server
MCP server for secure, efficient SQL access to Hydrolix clusters.
Hydrolix MCP Server provides a Model Context Protocol (MCP) interface for executing SQL queries, listing databases, and listing tables on Hydrolix clusters. It ensures safe, read-only data access and includes a standardized health-check endpoint. The server integrates easily with various MCP-compatible clients, supporting multiple authentication methods using either credentials or service account tokens.
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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 -
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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 -
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Snowflake Cortex AI Model Context Protocol (MCP) Server
Tooling and orchestration for Snowflake Cortex AI via Model Context Protocol.
Provides an MCP server that brings Snowflake Cortex AI, object management, and SQL orchestration to the MCP ecosystem. Enables Cortex Search, Analyst, and Agent services for structured and unstructured data querying, along with automated SQL execution and object management. Designed for integration with MCP clients to streamline AI-powered data workflows and context-sensitive operations within Snowflake environments.
176 60 MCP -
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Multi Database MCP Server
A unified server for structured, multi-database access via the Model Context Protocol.
Multi Database MCP Server provides a standardized interface for AI assistants to access and manage multiple databases concurrently through the Model Context Protocol. It supports automatic tool generation for SQL queries, transactions, schema exploration, and performance analysis for each connected database. Built using Clean Architecture, it is fully compatible with OpenAI Agents SDK, enabling seamless integration. The platform simplifies configuration and interaction with MySQL and PostgreSQL databases in a robust, modular environment.
304 49 MCP -
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@f4ww4z/mcp-mysql-server
Standardized MySQL operations server for Model Context Protocol environments.
Provides a Model Context Protocol server that allows AI models to interact with MySQL databases through a standardized interface. Supports secure connection, prepared statements, and robust error handling. Enables models to connect, query, execute statements, list tables, and describe schema with simple commands. Designed for seamless integration with tools like Smithery and evaluation frameworks.
130 27 MCP -
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greptimedb-mcp-server
A Model Context Protocol (MCP) server for secure, structured AI access to GreptimeDB.
greptimedb-mcp-server implements a Model Context Protocol (MCP) server for GreptimeDB, enabling AI assistants to securely explore and analyze database contents. It provides controlled operations such as listing tables, reading data, and executing SQL queries, ensuring responsible access. The server offers integration with Claude Desktop and supports prompt management for structured AI interactions.
23 11 MCP -
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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 -
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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 -
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SQLite Explorer MCP Server
Secure, read-only access to SQLite databases for LLMs via the Model Context Protocol.
SQLite Explorer MCP Server provides a safe, read-only interface to SQLite databases using the Model Context Protocol (MCP). Built with the FastMCP framework, it enables large language models to explore, query, and retrieve database schema information with robust safety and validation mechanisms. The server exposes structured tools such as read_query, list_tables, and describe_table, ensuring secure and reliable access to database contents. Designed for integration with platforms like Claude Desktop and Cline VSCode Plugin.
93 24 MCP -
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MXCP
Enterprise-Grade Model Context Protocol Framework for AI Applications
MXCP is an enterprise-ready framework that implements the Model Context Protocol (MCP) for building secure, production-grade AI application servers. It introduces a structured methodology focused on data modeling, robust service design, policy enforcement, and comprehensive testing, integrated with strong security and audit capabilities. The framework enables rapid development and deployment of AI tools, supporting both SQL and Python environments, with built-in telemetry and drift detection for reliability and compliance.
49 6 MCP -
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MCP SQLite Server
A Model Context Protocol server for interacting with SQLite databases.
MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.
65 10 MCP -
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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 -
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BigQuery MCP Server
Enables LLMs to securely converse with BigQuery data using natural language.
BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.
129 31 MCP -
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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 -
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go-mcp-mysql
Zero-burden Model Context Protocol (MCP) server for MySQL automation.
go-mcp-mysql is a ready-to-use server that implements the Model Context Protocol (MCP) for seamless interaction and automation with MySQL databases. Written in Go, it enables users to perform CRUD operations and check query plans without requiring a Node.js or Python environment. The server supports both command-line and DSN configurations, includes a read-only mode, and features a set of tools for managing schema and data. It is designed for low-overhead deployment and flexible MySQL automation workflows.
46 9 MCP -
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MCP AI SOC Sher
AI-driven SOC Text2SQL framework with security threat analysis
MCP AI SOC Sher is an advanced AI-powered platform that converts natural language prompts into optimized SQL queries using a Model Context Protocol-based server setup. It supports Text2SQL translation, real-time query processing, and security threat analysis across multiple database types. The tool offers multiple interfaces including STDIO, SSE, and REST API for flexible integration, and features in-depth SOC (Security Operations Center) monitoring capabilities. Built-in security features include SQL injection detection, sensitive table monitoring, and configurable security levels.
5 2 MCP -
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@davewind/mysql-mcp-server
Read-only Model Context Protocol server for secure MySQL access with LLM integration.
Provides a Model Context Protocol-compliant server offering read-only access to MySQL databases, enabling LLMs to inspect schemas and execute SELECT queries. Enforces strict SQL validation to allow only read-only operations and exposes table schema information in JSON format. Communication occurs over JSON-RPC via stdio to ensure compatibility with LLM systems. Features simple configuration, automatic schema discovery, and robust security measures.
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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 -
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mcp_mysql_server_pro
Advanced MySQL server tool with Model Context Protocol support and database health analysis.
mcp_mysql_server_pro enables seamless MySQL database operations and analysis, supporting all Model Context Protocol (MCP) transfer modes including STDIO, SSE, and Streamable HTTP. It provides flexible permission control, advanced anomaly detection, and health status monitoring, with easy extensibility via custom tools. OAuth2.0 authentication is supported, and users can execute multi-statement SQL queries, perform index and lock analysis, and leverage prompt template invocation.
273 35 MCP -
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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 -
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mcp-server-duckdb
A Model Context Protocol server enabling SQL access to DuckDB databases.
Implements a Model Context Protocol (MCP) server for DuckDB, allowing structured database interaction via MCP-compliant tools and language models. Offers a unified query tool for executing any SQL statement, with support for read-only mode to ensure data integrity. Flexible configuration options include database path specification and connection management. Easily integrable with applications like Claude Desktop for enhanced local data analysis through LLMs.
171 22 MCP -
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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 -
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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 -
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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 -
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InfluxDB MCP Server
Model Context Protocol server for seamless InfluxDB 3 integration and management.
InfluxDB MCP Server provides a Model Context Protocol (MCP) interface for interacting with InfluxDB version 3 across various deployment types, including Core, Enterprise, Cloud Dedicated, and Cloud Serverless. It offers a suite of tools and resources to perform operations such as writing and querying data, managing databases, tokens, and monitoring health status. Designed for use with MCP clients, it supports context-aware interactions and standardizes access to InfluxDB resources. User authentication, database management, and operational assistance are integrated for robust database workflows.
21 7 MCP -
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VikingDB MCP Server
MCP server for managing and searching VikingDB vector databases.
VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.
3 5 MCP -
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simple_snowflake_mcp
Production-ready MCP server for seamless Snowflake data integration.
Simple Snowflake MCP server provides advanced integration with Snowflake databases, facilitating database operations, metadata discovery, and resource monitoring with full compliance to the Model Context Protocol (MCP). It features a comprehensive YAML-based configuration system, robust logging options, and support for resource subscriptions and error handling. Designed for use in production environments, the server offers customizable access controls and is optimized for deployment behind corporate proxies.
7 6 MCP -
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Catalysis Hub MCP Server
MCP-compliant server for accessing catalysis research data via GraphQL.
Catalysis Hub MCP Server provides a Model Context Protocol interface to the Catalysis Hub's GraphQL API, enabling seamless programmatic access to catalyst research datasets. It allows users to execute flexible and complex GraphQL queries to retrieve reaction, material, and publication data. The server supports robust error handling, parameterized queries, and is designed for interoperability with AI agents in scientific workflows.
1 3 MCP -
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BigQuery MCP Server
MCP server enabling LLMs to access and interact with BigQuery databases.
BigQuery MCP Server provides a Model Context Protocol-compliant interface that allows large language models to inspect database schemas and execute SQL queries on BigQuery. It exposes tools for executing queries, listing tables, and describing table schemas, supporting both CLI and environment-based configuration. The server integrates with Claude Desktop and can be easily installed via Smithery, facilitating seamless interaction between LLMs and BigQuery data sources.
120 34 MCP -
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mcp-trino
A fast Go-based MCP server for seamless Trino SQL access.
mcp-trino is a Model Context Protocol (MCP) server implemented in Go, designed for high-performance integration with Trino's distributed SQL engine. It enables AI assistants and clients to issue SQL queries, discover catalogs, schemas, and tables, and fetch schema information through standardized MCP tools over HTTP and STDIO transports. The solution supports optional OAuth2 authentication, connects to a variety of data sources through Trino, and is available as a Docker container.
79 29 MCP -
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CockroachDB MCP Server
Natural language interface for managing CockroachDB via MCP protocol
CockroachDB MCP Server enables natural language interactions with CockroachDB, integrating with Model Context Protocol (MCP) clients. It supports comprehensive database management, cluster monitoring, and SQL operations through standardized tools. Designed for LLMs and agentic applications, it facilitates seamless AI-driven workflows to query, manipulate, and monitor CockroachDB databases. The system emphasizes performance, scalability, and easy integration with popular LLM tools.
6 3 MCP -
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MCP Toolbox for Databases
Open source MCP server for secure and efficient Gen AI database integrations.
MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.
11,412 988 MCP -
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Neon MCP Server
Natural language access to Neon Postgres databases via the Model Context Protocol.
Neon MCP Server provides a bridge between natural language requests and Neon Postgres databases through the Model Context Protocol (MCP). It enables users to manage database operations such as creating projects, running queries, and handling migrations by translating conversational commands into API calls. Designed for both local and remote setups, it enhances database accessibility for users with varying technical backgrounds. It prioritizes security, recommending use in local development and IDE integrations.
513 88 MCP -
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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 -
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Substrate MCP Server
A Rust-based MCP server for dynamic Substrate blockchain operations.
Substrate MCP Server provides a Model Context Protocol (MCP) compliant server enabling dynamic interaction with Substrate blockchains. It supports querying balances, pallets, and storage, as well as submitting transactions and accessing block and event data. The server is fully configurable via environment variables and designed for seamless integration with tools such as Cursor, Claude, and development dashboards. Built in Rust, it interfaces with Substrate nodes using the subxt crate.
11 4 MCP -
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Nocodb MCP Server
Natural language access and management for NocoDB using the Model Context Protocol.
Nocodb MCP Server enables seamless CRUD operations and schema management on NocoDB databases via the Model Context Protocol (MCP). It allows users to perform database actions such as creating, reading, updating, deleting records, and altering table structures through natural language commands. The tool integrates easily with external platforms like Claude Desktop and supports both API and CLI usage. TypeScript-based, it provides modern maintainability and compatibility enhancements.
54 22 MCP -
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Panther MCP Server
Natural language and IDE-powered server for detection, alert triage, and data lake querying in Panther.
Panther MCP Server enables interactive management of security alerts, data lake queries, and scheduled reporting using natural language and integrated tools. It allows users to write and tune detections from an IDE, triage and comment on alerts, and execute advanced queries against security logs. The system provides a wide range of operations including alert investigation, bulk updates, AI-powered triage insight generation, and data lake schema exploration. Integration with the Model Context Protocol ensures standardized and extensible interactions for security operations.
32 14 MCP -
45
Zaturn
Your Co-Pilot For Data Analytics & Business Insights
Zaturn enables AI models to interact with multiple data sources and generate analytics without requiring users to write SQL or Python code. It supports SQL databases and file formats, providing visual and tabular summaries and offering an interactive web interface similar to Jupyter Notebook. Zaturn can function both as a standalone platform or as a Model Context Protocol (MCP) compliant tool, allowing seamless context management for AI-driven data analysis.
66 9 MCP -
46
airtable-mcp-server
MCP server providing LLMs with read/write access to Airtable databases.
airtable-mcp-server enables language models to inspect Airtable schemas and interact with Airtable databases through the Model Context Protocol (MCP). It provides tools for listing, reading, and writing records, allowing integration with environments like Claude Desktop, Cursor, and Cline. The solution uses user-provided Airtable API keys for authentication, supporting secure access and manipulation of Airtable data via standardized MCP-compatible clients.
343 119 MCP -
47
Trino MCP Server
Expose Trino tables and querying via the Model Context Protocol.
Trino MCP Server acts as an MCP-compatible interface, allowing users to query and list tables from Trino using Python. It bridges Trino's distributed SQL engine with the Model Context Protocol, exposing Trino tables as MCP resources. The server supports executing arbitrary SQL queries against Trino through a standardized protocol. It uses environment variable configuration for seamless integration and is built to interface with the broader MCP ecosystem.
18 9 MCP -
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mcp-server-tidb
MCP server implementation for TiDB serverless databases.
mcp-server-tidb provides an implementation of the Model Context Protocol (MCP) for TiDB, enabling integration with serverless TiDB databases. It supports configuration through environment variables or .env files and connects with applications such as Claude Desktop via standardized configuration. The server facilitates managing context between conversational AI models and a TiDB backend in a consistent and standardized way.
22 6 MCP -
49
Azure Data Explorer MCP Server
Enables AI assistants to query and analyze Azure Data Explorer using the Model Context Protocol.
Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.
49 23 MCP -
50
Couchbase MCP Server
Enable LLMs to interact directly with Couchbase clusters via the Model Context Protocol.
Couchbase MCP Server provides an MCP-compliant server for connecting Large Language Models to Couchbase clusters. It supports various database operations such as bucket and collection listing, document retrieval, upsert, and deletion, as well as running SQL++ queries and retrieving index information. Designed for easy integration with MCP clients like Claude Desktop, it includes features for secure authentication and query mode configuration. The server can be deployed using a prebuilt PyPI package or directly from source.
24 28 MCP
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