MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. Bu kategoride 13.985 server.
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Enforces security boundaries for AI agents by validating tool calls against allowlists, fingerprints, scopes, argument rules, and egress controls.
Syncs Slack, GitHub, and Notion into a local knowledge graph to provide searchable team memory for AI clients like Claude and Cursor.
Audit MCP servers by generating scored reports on transport, session management, and schema compliance.
Performs black-box cross-validation of MCP servers by launching them as real processes and testing JSON-RPC 2.0 compliance across stdio and HTTP.
Provides hands-on AI engineering projects and an MCP server that routes prompts between Claude, Gemini, and local Ollama models.
Analyzes MCP servers by executing them in an isolated Docker sandbox to confirm and reproduce implementation vulnerabilities like SSRF and command injection.
Enables AI clients to inspect schematics, perform PCB auto-layout and routing, check DRC, and export manufacturing files within EasyEDA.
Enables AI clients like Claude Code to drive Unreal Editor 5.8+ by automating engine toolsets, Python scripting, and asset importing.
Provides portable agentic engineering rules and an MCP tool server for managing project logs and global agent instructions.
Provides a local-first desktop infrastructure that connects AI agents to applications and workflows through an MCP gateway and permission layer.
Tests MCP servers for vulnerabilities by sending malformed JSON-RPC payloads to identify crashes, hangs, and information leaks.
Provides a collection of production-ready AI agents built with Google ADK and Gemini that compose existing public MCP servers to perform specific tasks.
Performs offline, read-only security audits of MCP configuration files to detect credential leaks and tool-description poisoning.
Probes OAuth discovery issuer validation to prevent credential leakage to attacker-controlled token endpoints.
A local, air-gapped multi-agent coding harness that executes tools in a Podman sandbox and uses sequential agent roles on local models.
Provides shared project memory, tasks, and rules for AI coding agents to maintain context across different chats and computers.
Manages Google Antigravity CLI configurations, MCP servers, plugins, and custom skills using GNU Stow dotfiles.
Tests and audits Korean public data MCP servers for protocol compliance, schema accuracy, and error handling in isolated environments.
A planned monorepo providing Python-based MCP servers for Zendesk, Google Workspace, Gmail, Calendar, and Skilljar.
Build, run, edit, and review native Sley programs using a command-line toolkit, SDKs, and specialized application adapters.
