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    Per-byte data marketplace for AI agents on Arbitrum. Discover publishers, evaluate on-chain Proof-of-Quality Score (PQS), subscribe + pay per request in USDC via the x402 gateway. 13 tools, no API keys, live testnet.
    Last updated
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    MIT
  • A
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    Provides Microsoft Entra ID / Graph permissions data to AI agents, enabling search and retrieval of application and delegated permissions as well as Microsoft first-party app details.
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    MIT
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    Local-first Gmail MCP server using PKCE + loopback OAuth flow that stores refresh tokens in the OS keychain, enabling secure read/write Gmail access via MCP tools without tokens leaving the device.
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    20
    MIT
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    Payment firewall for AI agents: a signed, independently verifiable verdict on every money-moving action. Blocks wrong/lookalike payee, over-cap, and duplicate-invoice (BEC) fraud before money moves — anyone can verify a verdict against the public JWKS. Free, local-first, non-custodial.
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    Apache 2.0
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    A security wrapper for MCP servers that provides trust-on-first-use pinning, guardrail scanning, and protection against prompt injection attacks. It acts as an intermediary layer to ensure universal compatibility and secure enforcement of server configurations across various MCP host applications.
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    222
    Apache 2.0
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    A security-first MCP server and paired agent skill for the PhishFort Unified Client API, enabling PhishFort incident review, reporting, attachments, comments, and webhook management with approval-gated writes and safe defaults.
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    MIT
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    An open-source MCP server that provides AI agents with secure access to read, search, and manage emails via Microsoft 365 and Gmail. It features security-first defaults like recipient allowlists and markdown content conversion to facilitate safe agent interaction with mailboxes.
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    Apache 2.0
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    A local-first security system for autonomous AI agents that provides tools for security verification, goal anchoring, and action logging. It protects against prompt injection and goal drift by enforcing user-defined rules and offering performance insights through session grading.
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    MIT
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    Enables local tools to interact with a private-first knowledge graph, with full CRUD access to authorized data while remote AI providers only see approved plaintext through policy-scoped MCP surfaces.
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    MIT
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    A privacy-first memory layer that pseudonymizes sensitive data locally before sharing a 'Working-Fiction' version with external AI agents. It enables secure agentic workflows by ensuring personally identifiable information never leaves the user's sovereign hardware.
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    MIT
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    Local-first security check for AI coding agents — finds hardcoded secrets, exposed .env files, git-history leaks and vulnerable dependencies (OSV), entirely on your machine. Ask your agent "is this safe to ship?" and get a Launch Readiness score with a fix for every finding.
    Last updated
    MIT