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    LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.
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    MIT
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    SkillMesh is a retrieval router for MCP/LLM tool catalogs. It selects top-K relevant expert cards instead of loading every tool, reducing prompt size, by improving tool selection, and lowering token cost. Supports Claude MCP, Codex skills, and OpenAI-style function schemas.
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    MIT
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    Quantum natural-language retrieval MCP server that ranks text passages by semantic relevance using DisCoCat tensor diagrams compiled to variational circuits.
    Last updated
    MIT
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    A semantic router that provides unified access to multiple MCP servers through a single tool interface, using vector search to discover and execute tools across your entire MCP ecosystem while minimizing context token usage.
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    MIT
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    Enables routing of ML tasks like chat, sentiment analysis, recommendations, and summarization to appropriate models through a dynamic YAML-based registry. Provides async FastAPI endpoints with streaming support, retry logic, and pluggable model architecture for scalable ML inference.
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    A smart router that helps users discover the most relevant tools from an MCP catalog using natural language queries and AI-driven reranking. It utilizes hybrid search and intent analysis to select the best tool for a given task and explains the reasoning behind each choice.
    Last updated
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    Provides pre-indexed knowledge packs for popular technologies (Stripe, React, etc.) that MCP-compatible agents can subscribe to and search, delivering citation-grounded answers with hourly fresh indexes.
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    Routes natural language queries to appropriate MCP tools and planners with high-precision semantic matching and safety guardrails. Supports multi-intent detection, task planning, and strict role-based filtering to prevent misexecution or unauthorized access.
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    A controllable multi-source search MCP server for AI agents. Enables searching multiple sources like Reddit, X, YouTube, and more, with control over sources, time window, and optional synthesis.
    Last updated
    MIT
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    Enables comprehensive interaction with Discord servers to manage guilds, channels, messages, and members through an agentic workflow. It supports RAG capabilities, rate-limited message operations, and includes a React-based dashboard for monitoring and configuration.
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    1
    MIT
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    Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces comprehensive documentation with AI-powered guidance.
    Last updated