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Slavpilus MCP

MCP for Commerce Platforms

Agent-native semantic layer, letting AI agents query databases through specifying intent instead of writing SQL, then compiling structured queries into correct, dialect-aware SQL. Dynamic and expressive, supporting multi-stage queries, time-shifts, and complex join schemas.

Enables comprehensive Sleeper Fantasy Football integration with Claude, providing real-time player projections, historical performance analytics, league management, and waiver wire analysis. Supports advanced NFL metrics, lineup optimization, and matchup analysis for fantasy football decision-making.

A server that integrates Sleeper fantasy sports data with Goose AI through the Machine Context Protocol (MCP), providing structured access to fantasy league information.

Slowtime MCP Server F1952c58

全面解析Bmorphism Slowtime MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Bmorphism Slowtime MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables management and querying of Sangmyung University schedules, meal plans, notices, and exam information through a MySQL database connection with timezone-aware operations.

Enables management of Sangmyung University academic information including schedules, meals, notices, and exam details. Provides tools to query, search, add, and delete university data through a MySQL database connection.

Enables seamless integration with SnelStart accounting data, allowing users to manage multiple administrations, process invoices, and handle bookings through the B2B API. It supports comprehensive read/write operations, VAT summary generation, and document processing for UBL invoices and bank statements.

Enables interaction with Snowflake through Cortex AI services including search, analyst, and agents for querying structured and unstructured data, plus SQL execution and object management capabilities.

Enables interaction with Snowflake databases through SQL queries, schema exploration, and data analysis. Supports read/write operations, table management, and automatic insight tracking for comprehensive database operations through natural language.

Enables Claude to interact with Snowflake data warehouses through natural language for executing SQL queries, exploring schemas, and monitoring data freshness. It streamlines data analysis workflows by bringing Snowflake capabilities directly into the AI conversation.

52-tool MCP server for AI-powered social media management. Create content with 35+ AI models, distribute to multiple platforms, track analytics, and optimize with closed-loop learning.

Enables users to search for guitar, bass, and drum tabs on Songsterr by song title, artist, or specific tab metadata. It retrieves song details and track lists, providing direct links to view the full tablature on the Songsterr website.

Enables language models to search and interact with Space Frontiers data sources including library, telegram, and reddit databases through keyword and semantic search capabilities.

Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.

Enables users to write and execute SPARQL queries against open-access SPARQL endpoints by providing relevant query examples, schema information, and endpoint metadata. Supports querying biological databases like UniProt and Bgee through natural language interactions.

An Iceberg-native geospatial MCP server powered by DuckDB that provides tools for spatial SQL queries, catalog discovery, and data management. It enables LLM agents to interact with Apache Iceberg lakehouses to perform complex spatial analysis, joins, and aggregations.

A Model Context Protocol server that provides real-time database schema information to AI assistants, supporting both low-code system schema queries and traditional database metadata queries.

An MCP server that enables AI assistants to access Sprout Social data including analytics, publishing, messages, and listening through a standardized interface.

An MCP server that translates SQL statements into OData v4 query syntax, supporting SELECT, INSERT, UPDATE, and DELETE operations. It enables users to convert complex SQL queries into OData-compliant requests through single or batch translation tools.