"Understanding Inference Models" matching MCP servers:

MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.

MCP server for reading and analyzing Fabric semantic models. Supports getting model definitions and executing DAX queries against Power BI datasets.

Enables scraping LLM inference pricing from websites like Cloudrift, DeepInfra, Fireworks, and Groq, storing results in SQLite for cost comparison.

A Model Context Protocol server that interfaces with Biomart databases, allowing models to discover biological datasets, explore attributes/filters, retrieve biological data, and translate between different biological identifiers.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

A personal expense tracker exposed over MCP, enabling users to log and query expenses in natural language sentences. It features category inference, recurring expenses, soft deletes, and SQLite storage with no external database.

MCP server exposing a deterministic, local knowledge graph over stdio. Zero LLM calls in the bridge; answers are classified as Fact, Inference, or Unknown and persisted in redb (ACID, BLAKE3-hashed).

Enables scraping and comparison of LLM inference pricing from multiple providers like Cloudrift, DeepInfra, Fireworks, and Groq, storing results in a SQLite database.

MCP server that exposes Redis API to AI models

Enables AI models to perform MySQL database operations through a standardized interface, supporting secure connections, query execution, and comprehensive schema management.

An MCP server providing structured access to WatchBase's watch database, enabling applications to query comprehensive watch metadata including brands, collections, models, reference numbers, and technical details.

Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.

Provides AI models with structured access to Trino's distributed SQL query engine, enabling LLMs to directly query and analyze data stored in Trino databases.

A Model Context Protocol server implementation that enables LLMs to interact with NebulaGraph database for graph exploration, supporting schema understanding, queries, and graph algorithms.

Enables AI-powered competitor pricing analysis by scraping LLM inference pricing websites via Firecrawl, storing the data in SQLite, and answering cost comparison queries through natural language.

Enables AI models to interact with HubSpot CRM data and operations through a standardized interface, supporting contact and company management.

This server enables AI models to interact with MySQL databases through a standardized interface.

Enables AI models to interact with PostgreSQL databases through a standardized interface, supporting operations like queries, table manipulation, and schema inspection.