Log structured codebase changes with entity path, diff, and reasoning to preserve intent for future queries.
MIT
133,809 tools. Last updated 2026-05-25 08:40
"FiveM C# Development with AI-Enhanced Codebase Understanding and Reasoning" matching MCP tools:
- Process documents from a directory into Elasticsearch with AI-enhanced metadata generation, supporting batch indexing and comprehensive file handling.MIT
- Search ClinicalTrials.gov for medical studies using AI-enhanced filtering by condition, intervention, phase, and status to find relevant clinical trials.MIT
- Search the web using AI-enhanced results, returning content in HTML, Markdown, or structured formats for processing and analysis.MIT
- Generate AI responses by combining DeepSeek's reasoning with Claude's generation through OpenRouter, maintaining conversation context for enhanced interactions.MIT
- Transform simple prompts into detailed, structured prompts with AI-powered codebase context enhancement for development workflows.
Matching MCP Servers
- Alicense-qualityCmaintenanceA TypeScript-based server that provides debugging and management capabilities for FiveM plugin development, allowing developers to control plugins, monitor server logs, and execute RCON commands.Last updated4MIT
- AlicenseBqualityCmaintenanceA Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.Last updated7MIT
Matching MCP Connectors
Search, reuse, verify AI reasoning. Task marketplace with leaderboard. Zero-barrier, no auth.
AI Reasoning Cache & Consensus Layer with 11 MCP tools via Streamable HTTP.
- Analyze complex problems with enhanced AI reasoning, validate logical steps, ensure consistency, and track progress for accurate solutions across specialized domains.GPL 3.0
- Solve complex problems using advanced AI reasoning models from multiple providers with integrated search capabilities.MIT
- Execute full-stack development tasks using AI agents for rapid prototyping, code generation, and multi-framework project work with file-based collaboration.MIT
- Retrieve auto-generated codebase documentation: architecture overview, code conventions, dependency maps, and onboarding guides.Business Source 1.1
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Initialize Next.js DevTools MCP context to mandate documentation-first development. Resets AI knowledge and ensures all queries use official Next.js docs.MIT
- Perform complex reasoning with meta-cognitive reflection, hypothesis testing, and memory integration to systematically analyze problems and track confidence.MIT
- 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
- Answer natural language questions about your codebase with intelligent search. Get concise summaries without raw file contents, saving over 90% in token usage.Apache 2.0
- Search a codebase semantically to find relevant code, file locations, line numbers, and connections based on a query and directory.MIT
- Initialize a Zetrix smart contract development environment with project structure, testing framework, and utilities for blockchain application development.MIT
- Retrieve human disease information using C. elegans models, including associated genes and orthologs from the WormBase database.MIT
- Retrieve recent stamp sales with enhanced transaction details to analyze market activity and track blockchain transactions.MIT
- Search Google AI platform documentation for topics like function calling, Agent Development Kit, or Gemini Pro. Returns matching pages with titles, paths, and excerpts. Supports GEAP and Vertex AI sources. Use get_doc to read full content.MIT