"Advanced Engineering Fundamentals: Structural, Materials, Dynamics, and Thermodynamics" matching MCP servers:

Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.

Enables AI agents to perform CRUD operations, query data, fetch schemas, and execute custom operations on Microsoft Dynamics 365 CRM entities.

An MCP server that provides governed metric definitions and provenance-labeled memory for materials test labs, enforcing quality system discipline on agent interactions.

Enables querying a MySQL database of metallurgical materials and alloys via natural language, allowing users to list alloy types, filter grades by type, and retrieve full details of a grade with all related data.

A dedicated MCP server for interacting with Microsoft Dynamics 365 and Dataverse tools via the g-gremlin CLI. It enables users to read, analyze, and perform write operations on Dataverse environments through supported MCP clients.

The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.

Enables AI clients to investigate data engineering workflows by exposing tools for job status, logs, schema lookup, read-only SQL, and searching documentation/incidents, along with resources and prompts for ETL failure analysis.

This read-only MCP Server allows you to connect to Dynamics CRM data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This read-only MCP Server allows you to connect to Dynamics 365 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A Model Context Protocol server that enables large language models like Claude to perform comprehensive interactions with Firebase Firestore databases, supporting full CRUD operations, complex queries, and advanced features like transactions and TTL management.

A public MCP server demonstrating how an AI agent can retrieve database schemas and manage local OpenAPI contracts via tools for CRUD operations.

This read-only MCP Server allows you to connect to Dynamics 365 Business Central data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

A Model Context Protocol server that provides access to materials databases through the OPTIMADE API, with focus on Google DeepMind's GNoME dataset containing millions of predicted crystal structures.

Enables AI agents to inspect a mock data platform locally via SQLite, using read-only tools for schemas, row counts, freshness, queries, and pipeline status without cloud credentials.

A Model Context Protocol server that enables interaction with Microsoft Dynamics 365 CRM from Claude Desktop, allowing users to retrieve, create, and update CRM data through natural language.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP HANA XS Advanced (beta): https://www.cdata.com/download/download.aspx?sku=HHZK-V&type=beta

A Model Context Protocol server that enables AI agents to dynamically interact with Hasura GraphQL endpoints through natural language, supporting schema discovery, data querying/manipulation, and aggregations.

Exposes the full capabilities of Microsoft Dynamics 365 Finance & Operations to AI assistants through 49 comprehensive tools and standardized protocol interactions. It enables sophisticated workflows including OData operations, metadata discovery, and secure database analysis.