"Claude Desktop Agent Integration for VSCode" matching MCP servers:

.FAF (Foundational AI-context Format) with 50+ tools - Only Persistent project context that integrates seamlessly with Claude Desktop workflows. Officially merged (#2759) Anthropic MCP server.

MCP server that pushes GitHub Actions CI/CD results and PR events into Claude Code sessions, enabling automatic investigation and remediation.

Turns Claude Code into an engineering project manager by orchestrating feature development with isolated Git worktrees, structured task validation, and approval-gated integration.

Enables managing SAP Cloud Integration iFlows, packages, configurations, deployments, and runtime artifacts via natural language through the OData API.

Turns any AI coding agent or MCP client into a governed DevOps engineer by exposing policy-enforced tools for Kubernetes, Docker, Jira, Git/PR, CI/CD, AWS, Terraform, and incident response, with approvals, audit logging, secret redaction, and rollback enforced outside the model.

Serves MCP tools to inspect agent trace JSONL files and evaluate them against golden-case constraints, returning structured metrics and gate results.

An experimental MCP server that enables Claude Code to execute DevOps tasks such as Docker, Git, and testing commands.

Enables interaction with Azure DevOps through natural language in Cursor IDE. Supports work item management, pull requests, builds, releases, test management, and guided workflows for development teams, QA testers, and release management.

Automates backporting upstream Ironic changes across OpenShift release branches using Claude AI for intelligent decision-making and natural language interaction.

A production-grade MCP server with 6 sandboxed tools and an agent orchestration engine for autonomous task completion, featuring an evaluation suite with CI/CD quality gates.

Verify-before-act safety tools for AI coding agents, providing MCP tools to check packages, lockfiles, manifests, and CI workflows for supply chain risks.

Enables AI agents to safely automate Vivado build flows through state-aware MCP tools, asynchronous job tracking, and readiness gates for synthesis, implementation, and bitstream generation.

Provides AI-assisted guidance for the Weik.io integration platform, enabling planning, implementation, testing, and deployment of integrations using Apache Camel and specialized Weik.io features.

Enables LLM clients to access DevSecOps tooling such as CI/CD pipeline status, vulnerability triage, log search, and dependency scanning through MCP, turning AI copilots into security-aware engineering partners.

Enables AI clients to analyze software test results and defect records, producing explainable GO, CONDITIONAL_GO, or NO_GO release-readiness recommendations with deterministic risk scoring, failed-test retrieval, defect hotspot ranking, and regression test planning.

An MCP-style stdio server for evaluating AI agent outputs, enabling CI-friendly quality gates, regression comparisons, and canary promotion decisions.

A multi-language testing automation server that enables AI assistants to discover, plan, and execute tests across six major programming languages. It provides comprehensive tools for repository scanning, automated test execution, and detailed coverage reporting.

Enables AI coding agents to fetch the real latest versions of packages from npm, PyPI, crates.io and the Go module proxy, then check manifests or whole projects for outdated dependencies and rewrite them in place. It also reports the current releases and underlying dependency stacks of AI coding tools like Claude Code, Codex and Gemini CLI.

A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.

Provides integration with Apache Airflow's REST API, allowing AI assistants to programmatically interact with Airflow workflows, monitor DAG runs, and manage tasks.