"Information about Git MCP" matching MCP servers:

Mints short-lived, scoped GitHub App installation tokens on demand for AI agents to access git repositories or the GitHub API.

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

An MCP server that lets an AI agent probe a live URL and confirm whether sensitive files (e.g., .git, .env, source maps) are genuinely served by fetching and validating the content, avoiding false positives.

Umbra is the trust layer for AI-generated code. It scores any repo 0-100 with file:line evidence (security, slop, Docker-verified build/boot, and claim receipts that catch agents lying about tests), and guards agent file writes mid-stream blocking leaked keys, alg:none JWTs, and git-hook plants before they land. Tools: scan_repo, guard_content, get_score.

A trust-first repository copilot to audit signed commit provenance, preview editor configuration safety, and manage Git hook rollouts.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

Manages a git-backed vault for plaintext snippets and encrypted secrets, enabling secure storage and retrieval via MCP tools.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Acts as a production-grade safety layer for AI-assisted coding, monitoring Git hygiene, scanning for security issues (PII, secrets, injection), and enabling semantic history search.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables scanning projects for leaked secrets and security issues directly from Claude Code, detecting secret categories, dangerous code patterns, and git hygiene issues.

Enables AI coding agents to access live operational context like processes, containers, and git state, while providing a tamper-evident audit log and policy-as-code compliance hooks locally.

Enables AI assistants to inspect employee access, list failed onboarding events, and retry provisioning operations.

MCP server for 1C:БИТ with a knowledge base of user instructions (full-text search) and RBAC access profiles (keyword-based profile suggestion, roles matrix, validation, approval levels).

Enables AI assistants to validate individual or batch email addresses for deliverability, and to check account plan information, through MCP tools.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Enables agentic coding clients to enforce portable policy guardrails by evaluating proposed shell, file write, git, and network actions and returning allow, deny, or ask decisions.

Enables MCP clients to read and, when explicitly enabled, modify Hudu IT documentation—companies, articles, assets, asset layouts, and password resources—through curated read tools, bounded paginated list operations, and policy-gated write/delete dispatch over the node-hudu SDK. Supports stdio and HTTP transports with per-caller credentials, read-only defaults, secret-read restrictions, resource-level search scoping, and redaction of credential fields.