Tigris MCP Server

0
0 Reviews
1 Stars
Tigris MCP Server facilitates integration with Tigris data storage, offering low-latency access and management through MCP protocols. It supports S3 API compatibility and allows users to store, retrieve, and manage data efficiently across distributed environments. Designed for developers needing scalable object storage solutions, it simplifies data operations in cloud and on-premises setups.
Added on:
Created by:
Apr 16 2025
Tigris MCP Server

Tigris MCP Server

0 Reviews
1
0
Tigris MCP Server
Tigris MCP Server facilitates integration with Tigris data storage, offering low-latency access and management through MCP protocols. It supports S3 API compatibility and allows users to store, retrieve, and manage data efficiently across distributed environments. Designed for developers needing scalable object storage solutions, it simplifies data operations in cloud and on-premises setups.
Added on:
Created by:
Apr 16 2025
Tigris Data Inc
Featured

What is Tigris MCP Server?

The Tigris MCP Server provides a scalable solution for managing data storage using MCP (Meta Control Protocol). It allows developers and system administrators to integrate Tigris object storage seamlessly with existing workflows. With features supporting S3 compatibility, it enables easy transfer and management of large data sets. The server facilitates operations such as data creation, retrieval, and deletion while ensuring low latency and high availability across distributed environments. It is suitable for cloud applications, data analytics, and backup solutions, offering robust APIs for automation and integration with other tools. Its flexible configuration options include local, Docker, and cloud deployment modes, making it adaptable for diverse infrastructure needs.

Who will use Tigris MCP Server?

  • Developers integrating Tigris storage
  • Cloud infrastructure administrators
  • Data engineers managing large datasets
  • DevOps teams deploying storage solutions

How to use the Tigris MCP Server?

  • Step1: Install Docker or set up Node.js environment.
  • Step2: Run the initialization command (`npx -y @tigrisdata/tigris-mcp-server init`).
  • Step3: Configure environment variables with AWS credentials and endpoints.
  • Step4: Start the server using Docker or NPM commands as per the setup guide.
  • Step5: Connect your applications or tools to the MCP server using its API endpoints.

Tigris MCP Server's Core Features & Benefits

The Core Features
  • Supports MCP protocol for data management
  • S3 API compatibility for seamless integration
  • Flexible deployment options (Docker, local, cloud)
  • Automated configuration via environment variables
The Benefits
  • Enables high-performance data access
  • Simplifies integration with existing storage tools
  • Provides scalable and distributed data management
  • Supports automation and scripting for data operations

Tigris MCP Server's Main Use Cases & Applications

  • Integrating Tigris storage with cloud applications
  • Managing large-scale datasets in distributed environments
  • Backup and archival solutions
  • Data analytics workflows requiring scalable storage

FAQs of Tigris MCP Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Cloud Storage

Implements an MCP server to manage Azure Blob Storage operations via asynchronous Python APIs.
A server enabling AI models to securely list and download files from AWS S3 buckets.
A Python-based MCP client for Google Drive that enables natural language file management and retrieval.
Integrates Google Drive with file listing, reading, and search functionalities for various file types.
A server enabling AI clients to access Qiniu Cloud storage and multimedia services via MCP protocol.
A multi-cloud storage service supporting file uploads, presigned URLs, and custom domains for various cloud providers.
A self-sovereign data server enabling decentralized AI application storage using IPFS and CIDs.
Implements management functions for OceanBase clusters, tenants, and backup policies via MCP protocol.
A server for managing MCP hooks to integrate with Arweave Storage SDK, enabling custom data handling.
MCP server integrating Spring Boot, Spring AI, and Cloudflare R2 for object storage management

Databases

A client for managing and interacting with MCPs in Chainlit, enabling database queries, view management, and database setup.
A tool that detects, records, and documents schema changes in Supabase PostgreSQL databases automatically.
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client tool designed to facilitate SQL query management and database interactions for enterprise users.
A MCP to enable natural language expense analysis and querying on SQLite databases for expense records.
A Python-based MCP client for PostgreSQL, enabling seamless integration of PostgreSQL databases into MCP workflows.
A server to enable secure and high-performance access to Alibaba Cloud PolarDB clusters using MCP protocol.
A command-line MCP client enabling natural language interactions with SQLite databases through LLM API.
A server that enables direct SQL query execution on PostgreSQL databases, supporting parameterized queries and timeouts.
A Go-based MCP server enabling AI models to interact with MySQL databases for querying and management.