Multi Database MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 3
  

  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
• 4
  

  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
• 5
  

  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
• 6
  

  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
• 7
  

  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
• 8
  

  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
• 9
  

  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
• 10
  

  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
• 11
  

  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
• 12
  

  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
• 13
  

  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
• 14
  

  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
• 15
  

  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
• 16
  

  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
• 17
  

  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
• 18
  

  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
• 19
  

  VictoriaMetrics MCP Server

  Model Context Protocol server enabling advanced monitoring and observability for VictoriaMetrics.

  VictoriaMetrics MCP Server implements the Model Context Protocol (MCP) to provide seamless integration with VictoriaMetrics, allowing advanced monitoring, data exploration, and observability. It offers access to almost all read-only APIs, as well as embedded documentation for offline usage. The server facilitates comprehensive metric querying, cardinality analysis, alert and rule testing, and automation capabilities for engineers and tools.

  87 11 MCP
• 20
  

  MCP Server for Odoo

  Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

  MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

  101 58 MCP
• 21
  

  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
• 22
  

  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
• 23
  

  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
• 24
  

  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
• 25
  

  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
• 26
  

  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
• 27
  

  Pica MCP Server

  A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

  Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

  8 5 MCP
• 28
  

  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
• 29
  

  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
• 30
  

  codelogic-mcp-server

  Leverage CodeLogic’s dependency data for AI-powered impact analysis.

  Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

  31 14 MCP
• 31
  

  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
• 32
  

  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
• 33
  

  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
• 34
  

  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
• 35
  

  MCP Link

  Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

  MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

  572 68 MCP
• 36
  

  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.

  5 8 MCP
• 37
  

  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
• 38
  

  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
• 39
  

  Taskade MCP

  Tools and server for Model Context Protocol workflows and agent integration

  Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

  90 20 MCP
• 40
  

  MCP MongoDB Server

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

  MCP MongoDB Server enables large language models to interact with MongoDB databases through the standardized Model Context Protocol interface. It provides schema inspection, document querying, aggregation, and write operations with intelligent ObjectId handling and flexible read-only configurations. Designed for seamless integration with tools like Claude Desktop, it offers collection completions, schema inference, and robust support for both development and production environments.

  267 50 MCP
• 41
  

  VictoriaLogs MCP Server

  MCP server enabling advanced read-only access and observability for VictoriaLogs

  VictoriaLogs MCP Server implements the Model Context Protocol (MCP) to provide seamless, read-only integration with VictoriaLogs instances. It enables comprehensive access to VictoriaLogs APIs, allowing for log querying, exploration, and advanced observability tasks. The server includes embedded and searchable documentation and supports automation and interaction capabilities via standardized MCP tools. Designed to combine with other MCP servers, it enhances engineering workflows for log analysis and troubleshooting.

  30 7 MCP
• 42
  

  Graphlit MCP Server

  Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

  Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

  369 49 MCP
• 43
  

  InfluxDB MCP Server

  Expose InfluxDB data and tools to AI models via the Model Context Protocol.

  InfluxDB MCP Server is a Model Context Protocol (MCP) server that enables AI models to access, write, and manage time-series data stored in InfluxDB instances through a standardized API. It provides resources for organizations, buckets, and measurements, as well as tools for running Flux queries, writing data, and managing InfluxDB objects. The server includes prompt templates for common query operations and supports seamless integration with AI platforms like Claude Desktop. Easy installation options are offered via Smithery, npx, npm, or from source.

  27 12 MCP
• 44
  

  Agentset MCP

  Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

  Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

  22 10 MCP
• 45
  

  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
• 46
  

  Signoz MCP Server

  Connect SigNoz observability data to AI assistants via the Model Context Protocol.

  Signoz MCP Server acts as a bridge between SigNoz observability platforms and AI assistants by implementing the Model Context Protocol (MCP). It exposes a suite of tools for querying dashboard information, fetching panel and metrics data, executing custom queries, and retrieving traces or logs from SigNoz. The tool supports integration with popular AI assistants, flexible deployment options (Docker, local virtual environments), and secure configuration via environment variables or YAML files. The server is designed to enable standardized programmatic context retrieval for enhancing AI/LLM workflows.

  11 1 MCP
• 47
  

  Octocode MCP

  Enterprise-grade AI context server for codebase research and analysis.

  Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

  577 45 MCP
• 48
  

  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
• 49
  

  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
• 50
  

  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