Qiao-MCP
Related Servers
Alternatives to Qiao-MCP
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables an AI assistant to drive a running CSiBridge session by calling its full COM API — building and editing models, reading signatures and enums, running analyses, and reading or editing database tables of definitions and results. Access is available locally over stdio or remotely over HTTPS with per-person tokens, and a mock backend supports development off Windows.15Functional Source , Version 1.1, MIT Future
- AlicenseAqualityAmaintenanceEnables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting through natural language.554MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to directly control Midas Civil NX for bridge structural analysis, allowing users to model, apply loads, and perform analysis through natural language descriptions.2MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to operate DIANA FEA under human supervision, automate solver workflows, parse results, and retrieve knowledge from local manuals and experience libraries.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI coding assistants to directly control CSI ETABS for structural and seismic analysis, including model inspection, material/section definition, frame generation, solver execution, and result extraction through natural language.MIT
- AlicenseAqualityDmaintenanceEnables AI agents to interact with Bentley STAAD.Pro models for tasks like load case definition, data extraction, and property setting, running locally with multi-instance support and no cloud dependency.5MIT
TDQS
Scored across 15 tools
The 15 tools map to distinct engineering domains (geometry, properties, boundaries, loads, prestress, traffic, construction, analysis, results, checks, files, view), and descriptions explicitly cross-reference siblings to guide selection. Minor overlap remains between edit_loads and edit_traffic (both load cases) and between query_model and query_results, but the descriptions clearly separate static vs moving loads and definitions vs solved results.
All names follow a consistent snake_case verb_noun pattern (edit_geometry, edit_loads, query_model, query_results, manage_checks, analyze_model, view_model, access_backend). The verb prefixes (edit_, query_, manage_, inspect_, analyze_, view_, access_) are used consistently across the set.
With 15 tools for a complex bridge-analysis domain, each tool covers a broad but distinct engineering area (e.g., one tool each for geometry, loads, prestress, traffic, checks). No tool appears redundant, and the count stays within a well-scoped 3-15 range for the domain complexity.
The surface covers the full structural lifecycle: model file management, geometry, properties, boundaries, static loads, prestress, moving loads, construction stages, analysis, results retrieval, code checks, and viewing. Minor gaps exist (e.g., no explicit load-case deletion or reporting tool), but access_backend is provided to reach the native long-tail API, making the set practically complete.