Skip to main content
Glama
135,407 tools. Last updated 2026-05-22 19:03

"AI Prompting Techniques and Reasoning Methods" matching MCP tools:

  • Analyze code changes or project context to suggest architectural decision records (ADRs) with advanced prompting. Prevents duplication and leverages Reflexion learning for consistent decisions.
  • Recursively analyze a project's ecosystem to reveal its architecture, dependencies, technologies, and environment. Leverages advanced prompting with knowledge generation and reflexion learning for insightful, context-aware analysis.
  • Analyze complex problems using five reasoning engines: iterative bounded reasoning, multi-perspective analysis, chain compression, evolutionary search, or structured decomposition. Auto-selects or manually choose the optimal method.
    MIT

Matching MCP Servers

  • A
    license
    -
    quality
    C
    maintenance
    Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.
    Last updated
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that provides a multidimensional philosophical framework for prompt engineering by mapping intent across ten distinct branches of thought. It generates a principled construction basis, including active constructs and spectrum tensions, to guide the creation of structured and intentional prompts.
    Last updated
    4
    MIT

Matching MCP Connectors

  • Search, reuse, verify AI reasoning. Task marketplace with leaderboard. Zero-barrier, no auth.

  • Zero-knowledge proof generation MCP server. AI agents can prove identity claims (Coinbase KYC, Country, Google OIDC, Google Workspace, Microsoft 365) without revealing personal data.

  • Retrieve Anthropic's official prompting guide to write and optimize prompts for Claude models. Use when designing system prompts or structuring XML tags.
    MIT
  • Find classes and methods in source code using a case-insensitive substring query. Returns matching symbols with their type, fully qualified name, and file path.
    MIT
  • View available AI models and their specializations, or manually override model selection to match specific query types like research, reasoning, or general search.
    MIT
  • Retrieves Google's official Prompting Guide to help write, refine, or optimize prompts. Use it when you need to craft high-quality prompts following proven best practices.
    MIT
  • Analyze Polymarket or Kalshi prediction markets to get AI-powered Oracle signals with probability, confidence, and reasoning for informed trading decisions.
    MIT
  • Discover available Zabbix API objects and methods dynamically. Returns all objects or a specific one to guide subsequent API calls.
    GPL 3.0
  • Retrieve raw text chunks from Microsoft 365 for AI analysis and cross-document reasoning. Get relevance-scored excerpts from SharePoint and OneDrive to maintain control over content synthesis.
    MIT
  • Reconstructs the complete chain of reasoning for any governed session, agent, or time range, returning causally ordered links with hash-chain verification. Supports summary, full, DAG, or EU AI Act compliance export.
    MIT
  • Retrieve detailed product specifications including available placements, printing techniques, sizes, colors, and design requirements for Printful catalog items.
    MIT