Detects hidden prompt injection in tool descriptions: file read, exfiltration, instruction override, system prompt extraction, social engineering. Returns findings with pattern and severity.
MIT
629,040 tools. Updated 2026-10-02 08:15
"Enhancing Prompt Engineering with MCP" matching MCP tools:
- List available LCV Ultrabrain prompt templates for common engineering reasoning workflows, enabling structured thought through step-by-step reasoning, branching, merging, validation, and quality metrics without external LLM APIs.Apache 2.0
- Discover available prompt engineering techniques with acceptance statistics to enhance AI interactions through optimized method selection.MIT
- Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.MIT
- Transforms user requests into optimized prompts using advanced prompt engineering techniques like chain-of-thought and role-based prompting.MIT
- Provide answers to clarifying questions to continue prompt engineering for Claude Code, enabling interactive refinement of optimized prompts.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceMCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.101Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that gives an AI assistant a set of real mechanical-engineering tools. Provides deterministic tools like material properties, beam analysis, unit conversion, and curve fitting for engineering calculations.5MIT
Matching MCP Connectors
1,177 free agentic trading prompts for Claude and Robinhood MCP.
27 engineering compliance and calculation tools for the built environment (UK, EU, UAE).
- Record an engineering dispatch with replayable audit trail, assignee, constraints, and optional tracked worker launch for subagent delegation.MIT
- Describe an engineering challenge to find guides with matching answers and action items.MIT
- Analyze a system prompt for context engineering issues and get top findings ranked by severity. Use for reviewing, improving, or debugging AI agent prompts.MIT
- Analyzes prompt template versions against labeled examples and customer feedback to generate improved versions, with optional automated testing.Apache 2.0
- Turn a natural-language prompt into CSVBox virtual columns, validations, and data transforms. Returns JSON for review before applying with patch_sheet.MIT
- Analyze a Git repository for 14 security vulnerability classes, including prompt injection and secret exposure, before running it as an MCP server.MIT
- Search open bounties for paid engineering work across software, hardware, MCP servers, CAD, EDA. Filter by category, status, and payout to discover tasks matching your capabilities.MIT
- Find available calculators and engineering models on MetaModel, returning project names, descriptions, tokens, and model names.MIT
- Delete every captured traffic entry from the engine buffer. Irreversible, so MCP clients prompt for confirmation before invoking.MITDestructive
- Run a prompt through Claude using local CLI credentials. Use it from non-Claude MCP clients or to cross-check answers from other AI backends.Apache 2.0
- Lists Engineering Change Notices (ECNs) in a project, with optional filters by severity, status, and type.Apache 2.0
- Retrieve engineering standards for security, code quality, and architecture before writing or reviewing code. Ensures compliance with project-specific guidelines and MCP GitHub tool patterns.Academic Free v1.1
- Look up the official UNECE Rec. 20 engineering unit symbol for any unit description. Always verify before specifying a unit in industrial modeling to avoid errors.Apache 2.0
- List all Engineering Change Orders (ECOs) in a project, including ECN IDs, status, and resolution summary. Filter by status to track progress.Apache 2.0
- Retrieve all tags associated with a specific prompt version, with optional pagination support for large tag lists.Apache 2.0