"A platform for version control and collaboration on software development projects" matching MCP servers:

Enables users to look up package versions, scan for vulnerabilities, and analyze dependencies across multiple registries (npm, Maven, PyPI, etc.) using exact version recommendations for security.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

An open-source MCP server that gives parents real-time oversight and guardrails over their children's AI agent interactions, with features like content filtering, spiral detection, and approval flows.

The control plane for AI prompts that scores, enforces policy, locks config, and audits every prompt decision.

Enables AI clients such as ChatGPT and Claude to safely read, analyze, update, verify, and audit GitHub Projects v2 through OAuth-secured MCP connections with role-based access control, guarded writes, bulk preview/approval/apply, checkpoints/deltas, and durable audit trails.

Enables IDE plugins to authenticate and communicate with the YAAIF platform via MCP, bridging Cursor, VS Code, IntelliJ, Claude Code, Codex, and OpenCode.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

A framework for building MCP servers with built-in enterprise capabilities such as authentication, authorization, telemetry, audit logging, and data classification, allowing domain developers to focus on business logic while maintaining governance and compliance.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Wraps multiple bug bounty platform APIs (HackerOne, Bugcrowd, etc.) behind a uniform MCP tool surface, enabling LLM agents to query programs, scope, and briefs across platforms through a single interface.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Enables support engineers to analyze tickets against a help center with cited retrieval, role-gated and human-confirmed actions, and safety-gated evaluation.

Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.

Provides real-time supply chain compromise intelligence from X, enabling coding agents to check packages and view recent incidents before adding dependencies.

MCP server for Azure resource management, AI Foundry, and Entra ID — inspect and operate Azure infrastructure through AI agents.