"Git LFS" matching MCP servers:

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

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.

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

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

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 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 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.

MCP server that protects shell, file, database, git, and HTTP operations with per-agent permission rules

Enables MCP clients to run evidence-first engineering investigations by gathering code, Git, log, and test evidence while avoiding fabricated root-cause claims.

Provides tools for autonomous CVE detection, enrichment, and remediation across managed repositories using GHSA and NVD data. It enables automated triage and pull request creation for dependency fixes based on configurable severity policies.

Lets AI agents validate orders against configured pre-trade risk limits and obtain signed approvals through MCP tools, with mutating operations off until explicitly enabled.

MCP server for securely managing GitHub & GitLab credentials in an encrypted vault, allowing AI agents to retrieve tokens by org or group name automatically.

Enables scanning arbitrary text and added lines in unified git diffs for accidentally committed credentials, using precise vendor-format matches and entropy-based detection. All detected secrets are redacted before results are returned, helping coding agents and developers catch leaks without exposing full values.

A production-ready MCP server template with OAuth 2.1, RBAC, and audit logging for building secure, observable tool servers.

Provides an OAuth 2.1 authorization and login layer plus tool registration for MCP connectors, so a connector can be added to Claude clients with only a URL and password. It also shapes tool names, descriptions and input schemas for what Claude clients actually display, returning compact results and readable error messages.

Enables scanning projects for dependency vulnerabilities, secrets, license conflicts, code quality, and git health, returning a 0-100 health score with actionable suggestions.

Enables LLM-powered tools to manage Databricks permissions, credentials, and Git credentials via the MCP protocol.