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    An automated research agent that leverages Google Gemini models and Google Search to perform deep, multi-step web research, generating sophisticated queries and producing citation-rich answers.
    1
    28
    MIT
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    Enables AI-assisted coding tools to checkpoint sessions, detect context drift, and restore an earlier state while preserving uncommitted work and generating a recovery handoff for an informed restart.
    MIT
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    MCP server for agent network monitoring. Aggregates real-time population counts, transaction volume, and health metrics across multi-service agent infrastructure.
    MIT
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    Enables interactive stock market analysis using local Deepseek-R1 model through Ollama. Supports querying stock data, generating visualizations, and performing financial analysis via natural language commands in Cursor IDE or terminal.
    1
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    A lightweight Model Context Protocol server that enables creating, managing, and querying model contexts with integrated Datadog metrics and monitoring.
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    An observability tool for agentic AI pipelines that intercepts MCP and Python tool calls to provide real-time metrics, session replays, and alerts via a local dashboard. It enables centralized monitoring of multiple MCP servers through multiplexer and proxy modes without requiring changes to existing agent code.
    3
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    A unified enterprise-grade gateway that lets LLM agents call multiple MCP servers through a single REST API, with built-in authentication, rate limiting, logging, and metrics.
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    A lightweight Model Context Protocol (MCP) server that enables your LLM to capture screenshots of any specified URL and return only the access URL for the captured image. This tool simplifies the process of generating and sharing webpage snapshots, making it perfect for integrating visual capture ca
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    Connects AI assistants to Warpmetrics telemetry data to monitor AI agent performance, execution runs, and LLM costs. It allows users to query success rates, latency, and spend metrics directly through natural language interfaces.
    20
    37 npm
    MIT
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    Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.
    4
    MIT