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    Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
    15
    319 npm
    21
    MIT
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    Enables querying live Zora token data and analytics methodology through SQL and document retrieval tools, providing guarded access to on-chain holder, transfer, and token information.
    MIT
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    An MCP server that delivers real-time cross-chain bridge rates and optimal transfer routes to onchain AI agents.
    7 npm
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    MIT
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    Scores contract safety for Somnia Agents using on-chain analysis, RAG, and a VeriSom contract, returning a pre-interaction safety score.
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    Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC
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    13 npm
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    MIT
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    Licensed, rights-cleared content for AI agents, 17 tools to discover, license, retrieve, and verify expert content with on-chain proof and EU AI Act Article 53 support.
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    75 npm
    1
    MIT
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    Snap Router turns an agent's plain-language task into a ranked shortlist of the x402 services and MCP tools that actually serve it, in one ~200ms pass over the merged x402 Bazaar + MCP Registry catalog (16k+ entries) — no LLM call, with a "works well with" hint. The same server also ships Pricing-Truth: request-time on-chain liquidity and price integrity for Base/Ethereum/Arbitrum tokens -truth
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    50 PyPI
    MIT
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    An MCP server for interacting with Saptiva AI's suite of models, offering capabilities such as chat completions, chain-of-thought reasoning, and OCR. It enables users to generate semantic embeddings, access specialized prompts, and manage AI-driven workflows through a standardized interface.
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    Enables AI agents to autonomously browse inventory, negotiate terms, manage carts, and execute secure payments on Shopify stores using standardized protocols. It provides a bridge for LLMs to handle the entire commerce lifecycle from discovery to order tracking through a verifiable mandate chain.
    5
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    MIT
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    AI-powered code generator for the Arbitrum ecosystem with 19 MCP tools. Generates Stylus smart contracts (Rust/WASM), SDK bridging code, full-stack dApps, and Orbit chain deployments using RAG-based retrieval over Arbitrum documentation.
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    MIT
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    An MCP server that transforms markdown notes into an AI-powered knowledge graph. It enables LLM clients to explore, analyze, and diagnose knowledge graphs through tools for node explanation, path finding, causal chain analysis, and wiki health reporting.
    5
    MIT
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    AAAA-Nexus MCP provides 135 tools for autonomous AI agent infrastructure: formally bounded trust scoring, RatchetGate session security, on-chain A2A escrow, EU AI Act / NIST compliance certification, DeFi parameter proofs, VRF gaming with cryptographic proof, and verifiable randomness — all backed by the atomadic.tech API. Free tier available, no signup required.
    MIT
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    An MCP server that provides a queryable, agent-native layer over Israeli supermarket price transparency feeds, enabling Hebrew product search, online delivery optimization, and cross-chain price comparison.
    1
    Apache 2.0
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    An MCP assistant that provides asynchronous and parallel Q\&A capabilities for AI clients using OpenAI-compatible APIs. It supports streaming, chain-of-thought detection, and local session persistence with a dedicated management panel for configuration.
    7 npm
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    MIT
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    Fetch web pages into clean, RAG-ready Markdown with a verifiable provenance record — source URL, UTC fetch time, SHA-256 of the response body, redirect chain, and an extraction-fidelity metric. Writes WARC archives and honours robots.txt/ai.txt, so every document an agent reads can be re-verified and cited.
    87 PyPI
    2
    MIT