"Metallurgical Engineering and Steel Plant Processing Information" matching MCP servers:

MCP server for managing houseplants by recording waterings and observations, providing care reminders and diagnosis through natural language.

An MCP server providing steel domain knowledge to AI agents — grade properties, substitution verdicts, and mill-cert guidance as MCP tools. 23 grades, trade-verified substitution logic. Returns honest "not in knowledge base" rather than guessing.

▎ Provides 32 tools for plant-genomics locus lookup across 11 free public backends (Ensembl Plants, Phytozome, UniProtKB, Europe PMC, QuickGO, NCBI BLAST, Gramene, KEGG, STRING-DB, ATTED-II, BAR). Takes a TAIR-style locus plus optional organism and returns gene metadata, functional/pathway annotation, interactions, co-expression, and literature — in single-locus, batch, and cross-source synthesis.

An MCP server providing public plant bioinformatics APIs including UniProt, NCBI, InterProScan, PDB, AlphaFold, Ensembl Plants, and web-based resources like Sol Genomics and BAR, without local data. It supports gene lookups, protein summaries, structure retrieval, and functional annotations through natural language.

An MCP server that enables AI assistants to create and run Processing sketches directly through natural language commands.

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

Lets AI agents gate actions before they happen with allow/ask/deny verdicts, rank up to 255 options, and report decision stats.

27 deterministic engineering compliance and calculation tools for the built environment (data-centre PUE and EED, EPBD, NIS2, Eurocode, UAE compliance), callable by AI agents via MCP and REST API. Free tier; every result cites the governing standard.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Connects LLMs to Israeli civil engineering databases, including the Blue Book specs, Dekel 2026 pricing, Excel BOQ parsing, and tender arbitrage for unbalanced bidding.

Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.

A Windows-local MCP server that connects natural-language engineering tasks to COMSOL, Autodesk Fusion, and LabVIEW through their official software interfaces. It lets users submit, track, and verify parametric simulation, CAD modeling, and measurement jobs as configurable tools.

MCP server providing 200 compressed engineering careers across software, systems, mechanical, civil, and DevOps, with tools for listing, searching, and retrieving career profiles.

Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.

A unified MCP Gateway for enterprise knowledge, code, and memory tools, featuring admin management for documents, accounts, and MCP keys, with local network deployment support.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables a security-first engineering agent with an MCP-style JSON-RPC tool boundary, role-based authorization, and UTC audit events for every decision.

Scopes MCP tool definitions and strips Markdown from outputs to minimize token usage, improving agent cost and accuracy.

Analyzes code repositories and generates comprehensive documentation published to Google Docs with Mermaid diagrams.

Provides a local-first, governed MCP foundation where QA engineers can check server health and capabilities, read a status resource, use an orientation prompt, and validate non-secret configuration, profiles, and credential references without exposing secrets. External provider integrations, test execution, and release reporting are not yet implemented and remain scaffolded.

Enables MCP-compatible agents to perform read-only inspection of OpenPLC Editor projects, including retrieving project structure and listing programs, function blocks, and functions.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

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.

Serves plain-text notes that an Obsidian user has explicitly published for AI over streamable HTTP, with full-text and embedding-based search. MCP clients can read and search those notes and queue suggested edits that the user's own client applies only if the AI rules allow it.

Enables agents to run hybrid retrieval, build token-budgeted attributed context packs, answer questions with citation and groundedness-gated release, explore temporal graph entities, evaluate claim support, and ingest screened, embedded documents through typed MCP tools.

A repo-native stdio MCP server that helps AI agents and human users make better use of existing CE-RISE Digital Passport components, services, schemas, documentation, and deployment workflows.

It exposes typed tools for DXF-to-Engineering-IR parsing, allowlisted modification planning, deterministic validation, preview/diff, and readback verification, while keeping approval and execution out of the agent’s control.

A portable, stdio-based MCP server that exposes curated read operations across Microsoft Graph, Power BI, and Dataverse, plus an optional create-only Gemba action tool, using explicit Entra identities and read-only defaults. It lets teams run enterprise engineering workflow steps—discovery, draft preparation, and reviewed progress tracking—with separately approved, permission-scoped connectors and no automatic tenant access.

Enables read-only, workspace-bound inspection of repositories and log files, returning JSON reports with file counts, largest files, TODO/FIXME markers, and warning/error counts.

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