MCP Client

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

Cross-agent memory bridge with knowledge graph, workspace sync, and auto-memory hooks. Supports Windsurf, Cursor, Claude Code, Codex, and VS Code Copilot.

Mezmo's remote MCP server connects AI assistants to Mezmo's Observability platform so you can run advanced root-cause analysis, discover pipelines, and export logs without hosting anything yourself.

Provides advanced code review, implementation planning, and pull request generation using Matter AI.

A reference implementation of a Model Context Protocol (MCP) server with example tools, prompts, and resources.

MCP for monitoring local application logs with real-time tailing, error tracking, and log search capabilities.

A server for securely executing commands on the host system, requiring Java 21 or higher.

Manual code reviews are time-consuming and often miss the opportunity to combine static analysis with contextual, human-friendly feedback. This project was created to experiment with MCP tooling that gives AI assistants access to a purpose-built reviewer. Uses the Gemini cli application to process the reviews at this time and linting only for typescript/javascript apps at the moment. Will add API based calls to LLM's in the future and expand linting abilities. It's also cheaper than using coderabbit ;)

An AI-powered documentation server for code improvement and management, with Claude and Brave Search integration.

YetiBrowser MCP is a fully open-source solution to allow AI assistants to easily interact with your existing browser

Enable your code gen agents to create & run 0-config end-to-end tests against new code changes in remote browsers via the Debugg AI testing platform.