Arch Linux MCP (Model Context Protocol)
Architectural sensor for Python codebases. Scores structural health (modularity, acyclicity, depth, equality), detects import cycles, enforces YAML layer rules, and runs a snapshot/diff loop so AI-assisted edits do not silently regress structure.
A Node.js server that hosts AI agents and manages integrations with various data sources like Supabase, supporting automated database setup and deployment to Vercel.
Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.
Compile semantic document edits into correct Google Docs batchUpdate requests. UTF-16 arithmetic, cascading index shifts, OT-compatible ordering. MIT licensed.
Karma economy for AI agents and humans. Submit good actions, get community attestations, earn on-chain reputation. Karma-weighted verification, slashing, Kleros disputes. 5 MCP tools: submit_action, attest_action, get_karma, get_action_detail, get_leaderboard.
An implementation of Model Context Protocol (MCP) server for Argo CD, enabling AI assistants to interact with your Argo CD applications through natural language.
argocd-mcp
Enables AI assistants to interact with Argo CD applications through natural language. Provides comprehensive access to Argo CD resources including application management, synchronization, resource monitoring, and GitOps operations.
Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.
Enables AI agents to manage Argo Workflows through REST API, supporting workflow template and instance operations including creation, submission, monitoring, and deletion with token authentication.
One endpoint, five search providers. Search broker for AI agents with automatic fallback, RRF ranking, and budget enforcement. The LiteLLM of web search.
AI-powered exploratory QA agent. Explores web apps like a real user — 18 MCP tools for clicking, filling forms, and navigating. Automatically verifies that actions persist (fake deletes, failed edits). Runs 16 detection types including dead links, SEO, accessibility, and performance checks.
Read and manage your Argulog error tracking data - issues, projects, alerts, releases, billing, and admin operations - from any LLM agent. Authenticates with a Personal Access Token from the dashboard: PAT scopes gate writes server-side.
12 MCP tools for company research, lead scoring, outreach automation, and CRM sync — Claude, GPT, Gemini, Cursor, Windsurf.
Ariadne's thread — a way out of the microservice maze. Local cross-service semantic chain hinter for microservices (GraphQL/HTTP/Kafka/frontend)
Clinical research MCP server providing real-time access to PubMed (35M+ papers) and ClinicalTrials.gov (400K+ trials). Built for trial coordinators and life sciences teams. No API key required.
全面解析Aria Validate MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Aria Validate MCP Server能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
A minimal, well-structured MCP server implementation for learning and experimentation that exposes three tools: web search, API search, and client ID processing. It demonstrates clean separation between tool, transport, and LLM layers while supporting multiple AI clients through the Model Context Protocol standard.
Arithym — lightweight precision math for agents on the go. Exact arithmetic MCP server with 62 tools, zero hallucination, sub-millisecond computation and is 61% cheaper than Python code execution at scale.

