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    Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.
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    MIT
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    An MCP server for academic research that enables paper search across 14 sources, PDF download with multi-provider fallback, metadata extraction, and bibliography generation.
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    Provides up-to-date information for Rust and Slint development by fetching real-time data from GitHub repositories, including package search, UI components, release news, and development resources with automatic caching and refresh capabilities.
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    MIT
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    Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.
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    MIT
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    Durable, agent-native AI runtime with native MCP client and server support. Rust core for performance with Python SDK for workflow authoring. Features graph-based workflows, durable execution, A2A protocol support, and multi-agent coordination.
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    14
    Apache 2.0
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    Agent Connectivity Gateway — turn any authenticated API into an MCP Server. Self-hosted reverse proxy with OAuth 2.0/OIDC credential injection, per-agent isolation, NAT traversal for localhost services, and REST-to-MCP auto-wrap from OpenAPI specs. Works with Claude Code, Cursor, Codex. Rust.
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    Apache 2.0
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    A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.
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    MIT
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    An MCP server that scans your lockfiles (npm, PyPI, Go, Rust, Ruby, PHP) for known vulnerabilities, enriches with EPSS exploit probability scores, and recommends fix versions. $14/mo — not per-seat.
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    9
    MIT
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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