"Sumo Logic" matching MCP servers:

Exposes CRUD operations for products via MCP tools and a resource, sharing a common business logic layer with a GraphQL API.

A backend server that executes advanced logic primitives and cognitive operations through the Model Context Protocol, allowing integration with various LLM providers for reasoning, data processing, and structured thought processing.

MCP server for the ONE Framework ERP that enables Claude to explore data models, run queries, and understand business logic through autonomous access.

Connects Claude to any PostgreSQL database, enabling schema exploration, query execution, and performance analysis through natural conversation.

Provides PostgreSQL database management and analysis via MCP, enabling schema exploration, query execution, performance monitoring, and database health checks.

Enables AI assistants to help manage your You Need A Budget (YNAB) finances through comprehensive budget operations. Supports account management, transaction handling, category budgeting, split transactions, scheduled payments, and spending analytics with robust error handling and automatic retry logic.

Enables AI agents to read and understand local Mendix project structure and logic by connecting directly to the .mpr file via MCP. Allows querying microflows, entities, attributes, and modules in read-only mode without requiring cloud access.

Enables AI clients to access virome datasets and external bioinformatics APIs through MCP tools, including Wikipedia, PubMed, NCBI Taxonomy, read-only SQL over S3 Parquet, pandas/Plotly analyses, and map visualizations, while keeping the client decoupled from data and business logic.

A production-grade MCP server that centralizes AI integrations for Appwrite, Supabase, and MySQL databases. It also enables triggering n8n workflows via webhooks and performing generic REST API calls with built-in retry logic.

Exposes academic advising tools over stdio so an AI assistant can retrieve student profiles, transcripts, and curricula, check graduation requirements and requirement groups, calculate current and planned GPAs, and recommend retakes, courses, study plans, and career-to-specialization matches. All computations run deterministically in Python and return UNKNOWN rather than guessing when verified academic thresholds are missing.

Connects LLMs to Elasticsearch with a Semantic-to-Lexical layer that translates technical field names into business knowledge, enabling autonomous querying without hardcoded domain logic.

Enables running SQL warehouse validation checks through natural-language questions in MCP clients, while reusing the same logic for automated pipeline and CI/CD runs.

Enables MCP clients to fetch live exchange and cryptocurrency prices, persist key-value JSON records, and perform invoice, shipping, and inventory business logic through seven tools.