Get an authoritative explanation of a design principle or GoF pattern: intent, when to use it, trade-offs, participants, and related concepts.
MIT
605,874 tools. Updated 2026-09-24 05:33
"An explanation or exploration of reasoning" matching MCP tools:
- MIT
- Render an explanation of an existing check report in CommonMark, including metadata, without executing new checks.Apache 2.0
- Explain an incident with evidence-backed markdown. Input an incident ID to receive a detailed explanation based on live infrastructure data.Apache 2.0
- Mark a thought as selected to focus further exploration within a structured reasoning tree.-
- Submit an answer for a practice exam question to receive deterministic grading with correct/incorrect status and detailed explanation.MIT
Matching MCP Servers
- FlicenseNot gradedqualityBmaintenanceMCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.-
- AlicenseAqualityBmaintenanceAdds a deep_reasoning tool that consults stronger reasoning models (e.g., DeepSeek R1) to produce full reasoning traces for complex problems, helping the agent shape and cross-check its answers.1MIT
Matching MCP Connectors
Find relevant security data from Sentinel data lake for building effective agents. More:aka.ms/s/de
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
- Read one memory's stored explanation (node, history, or calibration: posterior, triad legs, effective N, Brier) — not a ranked list. Use this when you have a memory_id (or id) and need the stored explanation.Apache 2.0
- Generate starter queries for a database schema to quickly orient yourself in unfamiliar databases and begin exploration.Apache 2.0
- Identify errors in a contribution draft and submit them with error type and explanation for orientation Task 1. Pass by detecting at least two of three errors.MIT
- Execute a predictive query for a single entity and receive a model explanation for the prediction.MIT
- Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.MIT
- Load an InfraDB branch graph into the oracle session before graph exploration or threat-model matching. For large graphs (1000+ nodes), encoding takes 2-5 minutes; returns immediately, check completion with oracle_graph_info.Apache 2.0
- Display the coverage map of strategy exploration, highlighting explored versus untried combinations. Filter by exploration goal to focus on specific objectives.Apache 2.0
- Generate executable Python code for fitting parametric models to data using the ax_core.model_fitter JAX library. Describe your model and data, and receive code with an explanation of the approach.MIT
- Get a plain-English explanation of risks associated with any Solana wallet or token address, helping you avoid scams and rug pulls.MIT
- Get a plain-English explanation of a strategy: what it does, risk profile, best market conditions.MIT
- Parse an XQL query to retrieve its execution plan along with a human-readable explanation of how it executes.MIT
- Finds similar design styles from Refero's catalog using a style identifier from prior search results. Enables follow-up exploration of related styles.MIT
- Distill concrete collaboration preferences from interaction examples to guide response structure, explanation style, and workflow decisions.MIT
- Search the web with natural language queries for open-ended exploration, complementing authoritative searches.Apache 2.0
- Analyze complex, high-stakes decisions using deep reasoning. Returns structured conclusion, reasoning, and risk warnings.MIT