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    Deterministic pre-execution safety certification for autonomous AI agents. Evaluates proposed actions across scope, reversibility, and sensitivity constraints — returns Certified, Warning, Escalate, or Blocked decisions with cryptographic audit trails. 3 tools: certify_action, check_budget, get_certification_history. Built on the QAE Safety Kernel (Rust + PyO3 bindings, pip install qae-safety).
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    Apache 2.0
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    AI-powered smart contract forge with an 8-agent adversarial security audit system. Generate, audit, fix, and compile Solidity and Anchor/Rust contracts across 8 chains.
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    59 npm
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    MIT
  • A
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    Self-hosted MCP gateway that registers upstream MCP servers and fronts them behind one governed Streamable HTTP endpoint: per-tool access control by caller API key, guardrails over tool arguments and results, rate limits, and usage logs. The same Rust gateway also proxies LLM and A2A agent traffic.
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    Apache 2.0
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    Gives coding agents read-only access to an AI-SPM backend's flagged issues, inventory, and remediation guidance so they can fix the affected code, along with guardrail policies, LLM-interaction analytics, cost-optimization analyses, and red-teaming evaluation results.
    Apache 2.0
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    Zenii is a local AI backend with persistent memory, 18 tools, and 114 API routes. MCP server exposes all tools via stdio transport. * Transport: stdio * Command: zenii-mcp-server --transport stdio * Language: Rust * License: MIT
    24
    MIT
  • A
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    Standalone MCP server for code structure analysis using tree-sitter. Directory trees, symbol definitions, and call graphs without reading raw source files. Supports Rust, Python, Go, Java, TypeScript, Fortran, JavaScript, C/C++, and C#. Benchmarked up to 68% fewer tokens vs native tools.
    6
    Apache 2.0
  • F
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    A Model Context Protocol (MCP) server for Dust.tt agents, designed for seamless integration with Claude Desktop via STDIO. Provides robust agent querying, listing, and configuration tools.
    7
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  • A
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    DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.
    18
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    Apache 2.0
  • A
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    AI agent identity, permissions, trust scores, and tamper-evident audit trails. 17 MCP tools: register agents (Ed25519 keypairs), check permissions (sub-5ms), emit audit events, verify trust scores (0-100), delegate credentials, ephemeral agents. IETF Internet-Draft filed. Works with LangChain, OpenAI, CrewAI, Stripe ACP. npx @vorim/mcp-server
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    83 npm
    66
    MIT