18,186 MCP servers crawled across 12 categories. 164 deterministic detection rules. Evidence chains, not vibes.
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Pre-execution safety layer for autonomous agent wallets via MCP and x402.
Policy-based tool filtering library for MCP deployments to control and restrict tool execution.
Rails Engine with MCP compliant Spec.
Real-time GitHub Actions observability with DORA Metrics, Cost Analysis, and CI/CD Health dashboards.
Complete Active Directory MCP server with Docker deployment and 43 tools.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Integrates with ActivityWatch to enable LLMs to interact with time tracking data, providing tools for listing buckets, executing AQL queries, and retrieving raw events for enhanced productivity analysis and time management.
A Model Context Protocol server providing tools to interact with ActivityWatch time tracking data
Provides dual-perspective analysis through alternating actor and critic viewpoints for evaluating creative works, strategic decisions, and complex scenarios requiring both empathetic understanding and objective assessment.
Integrates with Actual Budget to provide transaction filtering, spending breakdowns by category, monthly summaries with savings rates, and account balance history for budget analysis and financial insights.
MCP server with 63 tools for AI-driven financial management with Actual Budget — HTTP and stdio transports, LibreChat, Claude Desktop, Cursor, VS Code, Gemini CLI
A Lambda-based MCP (Model Context Protocol) server implementation
Provides a bridge to the Acurast decentralized computing platform for deploying scripts and monitoring processor performance metrics across distributed computing tasks.
Query Meta Ads performance data including accounts, campaigns, ad sets, ads, metrics, and settings.
Query Meta Ads performance data — accounts, campaigns, ad sets, ads, metrics & settings.
The self-evolving coding agent that learns from your entire team and codebase. Less syncing. Less waiting. Deliver at the speed of thought.
Integrates with the Adamik API to enable blockchain operations and custom AI functionalities via Starknet, supporting secure API key management and efficient request handling.
Processes complex scientific queries through an 8-stage Graph-of-Thoughts pipeline that decomposes questions into hypotheses, gathers evidence, builds knowledge graphs in Neo4j, and provides confidence-scored conclusions with bias detection and falsifiability assessment for systematic research analysis.
Persistent memory for Claude via weighted, interconnected knowledge nodes.
Design, validate, and deploy complex automated skills and cross-skill solutions with confidence. Accelerate development using built-in templates, examples, and a rigorous five-stage validation pipeline. Monitor and update deployed services incrementally to maintain high-quality system performance.
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