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  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables LLM-driven skill selection and parameter filling to trigger real side effects only after an explicit risk-confirmation gate, with argument guardrails, long-term memory, and federation of external MCP servers and A2A agents over hand-written JSON-RPC on Streamable HTTP.
    1
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.
    1
    3
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.
    1
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables deploying standalone MCP connectors, discovering them through a validated catalog, and running an optional trusted polyglot runtime for the DX Heroes MCP Gateway.
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.
    1
    219 npm
    287
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to perform web search, extraction, and research across multiple provider backends with persistent multi-key rotation and auditable routing. Supports MCP, CLI, and Agent Skill entry points.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables parallel research across multiple cheap AI worker models, splitting a question into sub-questions and synthesizing one sourced answer with references.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables clients of tool-heavy MCP aggregators to find and use upstream tools on demand through four fixed bridge tools (search, describe, call, refresh), cutting per-turn tool context from ~180k tokens to ~2–3k. It merges multiple upstream servers behind sticky sessions and a local lexical BM25 index, so only the schemas actually needed are retrieved.
    6
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Replaces DSH's built-in web_search with pluggable MCP search backends such as Tavily, Brave, Exa, Perplexity, DuckDuckGo, or custom HTTP/stdio servers. Users configure providers in the settings UI with secure credential references, while the model keeps calling the native web_search tool.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that exposes an Agno agent with Google Gemini reasoning and Serper web search, enabling MCP-compatible clients like Claude Desktop to perform agent-driven web searches and receive synthesized answers.
    1
    2
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables AI-powered web searches using Google's Gemini 2.5 models with Google Search Grounding. Supports multiple Gemini models (Flash, Flash-Lite, Pro) with configurable thinking budget and web search capabilities.
    1
    5 npm
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables local opencode agents to control a live Chrome browser via MCP tools, including tab management, JavaScript execution, clicking, form filling, page reading, screenshots, and console log retrieval.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables web search for the pi coding agent using z.ai GLM native search with a DuckDuckGo fallback.
    3,283 npm
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.
    38
    Apache 2.0