Trino MCP Server - Alternatives & Competitors
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.
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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.
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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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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.
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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.
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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.
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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.
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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.
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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.
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Druid MCP Server
Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics
Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.
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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.
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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.
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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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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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AllTrails MCP Server
MCP server for seamless AllTrails data access and integration
AllTrails MCP Server provides Model Context Protocol (MCP) compliant access to AllTrails hiking trail data, enabling AI tools to search for trails and retrieve detailed trail information. It supports searching by national park and fetching comprehensive details such as difficulty, length, elevation, ratings, and route types. The server communicates via standard input/output and is designed for easy integration with MCP-compatible clients like Claude Desktop. Installation is flexible, supporting both virtual environments and system Python setups.
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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.
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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.
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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.
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MLB API MCP Server
A Model Context Protocol server for seamless MLB data access through AI applications.
MLB API MCP Server provides comprehensive access to MLB statistics and baseball data via a FastMCP-based interface. It exposes a range of MLB functionalities—including live game data, player statistics, team information, and advanced metrics—as MCP tools accessible by AI workflows. Compatible with MCP-enabled AI clients, it enables structured, schema-validated querying and integrations for baseball data.
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dbt-docs-mcp
MCP server for querying dbt project metadata and lineage
dbt-docs-mcp implements a Model Context Protocol (MCP) server that interacts with dbt project metadata artifacts such as manifest.json and catalog.json. It exposes the dbt project graph through a standardized API, enabling search and inspection of models, sources, columns, and their upstream/downstream lineage. The solution facilitates column-level and model-level lineage analysis, node inspection, and can be extended to support database metadata querying and custom knowledge bases. It is designed for integrations with MCP-compatible clients, supporting advanced data discovery and context sharing workflows.
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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.
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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.
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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.
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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.
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Aviationstack MCP Server
MCP server offering comprehensive endpoints for aviation and flight data.
Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.
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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.
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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.
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Gin-MCP
Zero-Config Bridge Between Gin APIs and Model Context Protocol (MCP)
Gin-MCP enables seamless integration of existing Gin-based APIs with Model Context Protocol, allowing endpoints to be automatically exposed as MCP-compatible tools. It offers zero-configuration setup and intelligent discovery of Gin routes, inferring schemas for instant usability with MCP clients like Cursor, Claude Desktop, Continue, and Zed. Developers can easily mount an MCP server onto any Gin application, benefiting from selective exposure and customizable schema registration. The library is designed for maximum productivity with minimal setup or code changes.
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Pydantic Logfire MCP Server
Enables LLMs to access and analyze application telemetry data through standardized MCP tools.
Pydantic Logfire MCP Server provides an MCP-compatible interface to access, analyze, and query telemetry data sent to Pydantic Logfire. It allows LLMs to retrieve distributed traces, perform SQL queries on telemetry databases, and generate links for trace inspection. The server can be integrated with well-known MCP clients and supports configuration for secure access with read tokens.
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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 -
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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.
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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.
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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.
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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.
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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.
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Alchemy MCP Server
A Model Context Protocol server for structured AI access to blockchain data and actions via Alchemy.
Alchemy MCP Server enables AI agents to interact with Alchemy’s blockchain APIs using the Model Context Protocol. It provides structured endpoints for querying token prices, NFT data, transaction history, asset transfers, and executing blockchain transactions. The server streamlines blockchain data retrieval while supporting multi-network operations and advanced actions like swaps and contract transactions when paired with wallet agents. It is designed for quick setup and seamless integration with AI tools.
68 26 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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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 -
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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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FinData MCP Server
Open-source MCP server for LLM access to professional financial data.
FinData MCP Server offers standardized financial data access to large language models by implementing the Model Context Protocol. It supports multiple data providers such as Tushare and Wind, and enables retrieval of both market and macroeconomic data via Stdio or SSE transports. The server is configurable and integrates into AI systems, providing tools for market, fundamental, and financial data queries.
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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.
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IP Geolocation MCP Server
Enables IP-based geolocation for AI workflows via MCP-compliant tooling.
IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.
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Blockchain MCP powered by Tatum
MCP server for universal blockchain data access across 130+ networks.
Blockchain MCP powered by Tatum is a Model Context Protocol (MCP) server that enables large language models (LLMs) to read and write blockchain data across more than 130 networks. It provides unified access to both the Tatum Blockchain Data API and direct RPC gateways, supporting tools for retrieving balances, portfolios, transactions, and more. The platform is designed for seamless integration via API key and configurable MCP client setups, making it easier to build blockchain-aware AI solutions. Comprehensive documentation and extensive network compatibility facilitate robust development and scalability.
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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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