A LangGraph incorporating the Selector MCP Server and other MCP Servers as an example of a modern solution
Selector AI MCP Server
Enables browser automation by managing Selenium Grid browser instances (Chrome, Firefox, Edge) in Docker or Kubernetes environments. Provides secure, scalable browser control for AI agents and testing workflows.
MCP server that bridges Claude Desktop with Selenix for browser automation and testing. Enables creating, running, debugging, and managing browser automation tests through natural language via MCP.
Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.
Enables developers to integrate privacy-preserving identity verification from the Self protocol into their apps. Provides integration guides, code generation, blockchain configuration reading, and debugging assistance for age verification, airdrop eligibility, and humanity checks.
Expose a decentralized P2P agent as an MCP server so Claude Code and other AI tools can discover peers, create groups, and send encrypted messages without intermediaries.
A read-only MCP server that provides access to financial news, Wall Street Bets sentiment analysis, and detailed options data from sellthenews.org. It enables LLMs to retrieve real-time news feeds, search historical data, and analyze options chains or Greek exposure for specific tickers.
Change tracking for AI-era codebases. AI agents call it to log structured change events (entity + diff + reasoning) before the session ends, then query history with diff, blame, history, changeset, and search. Captures the intent that would otherwise evaporate.
MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis. Catches incompatible changes that Git merges cleanly — signature changes, removed exports, parameter changes, interface breaks, and cross-file dependency conflicts.
Semantix-Verify is an MCP server for semantic validation of AI/LLM outputs. It exposes a single tool, verify_text_intent(text, intent_description, threshold), which uses a local quantized NLI cross-encoder (INT8 ONNX) to return a 0.0–1.0 probability that the text satisfies the given intent — and, when it doesn't, a structured correction prompt for agent retry loops. Useful for building com
Provides structured access to semiconductor industry platforms to search for IP core suppliers, ASIC design services, and manufacturing resources. It enables users to estimate procurement costs, compare vendors, and query industry glossaries using natural language.
A specialized MCP server for semiconductor manufacturing that provides 8 tools for defect analysis, process recipe standardization, and equipment monitoring. It enables users to resolve process defects, validate process windows, and track real-time metrics and SPC status.
Provides hiring guides and discovery checklists to help users craft compelling job descriptions for senior developer roles. It includes tools to analyze existing descriptions against best practices and generate clarifying questions to fill information gaps.
Provides 20 tools across 6 categories (pension/welfare, health/medical, care, leisure/culture, living support, and safety/emergency) to help seniors aged 60+ easily understand and access Korean welfare services and benefits.
Real-time Indian stock market sentiment intelligence. Provides NSE/BSE news sentiment, aggregated stock & sector signals, and technical analysis.
SentinelCore is an advanced AI agent powered by Model Context Protocol. It can browse the web, interact with local file systems, and is designed to keep evolving with new features. Whether you're looking for a smart assistant, a system manager, or a knowledge guide, SentinelCore adapts to your needs seamlessly.
An MCP server for AI-powered API testing that enables automated positive, negative, and security testing directly from AI chat interfaces. It supports multiple AI providers and generates detailed security reports.
Enables access to Sentrul's research, compliance scanning, and trace lookup agents through MCP clients. Provides 257 production agents for analyzing web content, detecting compliance patterns, and retrieving structured trace data.
A stateless FastMCP server that enables interaction with multiple Sentry instances, including US, EU, and self-hosted versions, through a single deployment. It provides tools for searching issues, events, and traces, allowing users to monitor and debug applications using natural language.

