"General search query" matching MCP servers:

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Enables monitoring and debugging of Hatchet workflows and jobs through MCP clients like Claude Code. Users can list workflows, track run statuses, query queue metrics, and retrieve job results using natural language commands.

Enables AI assistants to query and manage KubeVela application delivery: check application status, trigger deployments, track workflows, manage addons, and more.

Enables AI assistants to inspect, query, and diagnose problems within Octopus Deploy instances. Provides read-only access to deployments, releases, projects, environments, and other DevOps resources to transform AI into your ultimate DevOps wingmate.

A local MCP server that exposes Bazel build system functionality to AI agents, allowing them to build, test, query, and manage Bazel projects through natural language even in environments where Bazel can't be directly accessed.

Enables interaction with Bitbucket Cloud through 25+ tools for managing repositories, pull requests, branches, commits, issues, pipelines, and code search with OAuth 2.0 authentication.

Enables interaction with Blacksmith CI analytics to query workflow runs, jobs, test results, and usage metrics. It provides detailed access to CI/CD data including job logs and billing information directly through Claude.

A fully-featured GitLab MCP server that provides 25 advanced capabilities for interacting with GitLab via REST API, including repositories, merge requests, issues, and global search.

Enables interaction with Gerrit code review system via REST API, allowing language models to query changes, retrieve details, and manage reviews.

Enables programmatic management of Koyeb resources including apps, services, deployments, and instances via the Model Context Protocol. It allows users to query build and runtime logs and perform resource lifecycle operations through the Koyeb API.

Integrates development toolchain services (GitLab, Jira, Redmine, Mattermost, Harbor) and provides composite tools to query cross-system data with a single request.

Managed MCP server that enables AI assistants to run, analyze, and create mabl tests, and query results across workspaces.

Enables interaction with Jenkins instances to manage jobs, builds, and nodes through the Model Context Protocol. It provides capabilities to trigger builds, read console outputs, and search log sections using regular expressions.

Enables AI assistants to query and manage GoCD pipelines, stages, and jobs through the Model Context Protocol. It allows users to trigger builds, analyze failures, and access build logs or artifacts using the GoCD REST API.

Enables AI coding assistants to search reproducibly verified bug fixes, compatibility recipes, and code patches, and to submit new solutions for automated sandbox verification.

A Model Context Protocol server that provides tools for interacting with Docker images, containers, and registries, enabling AI assistants to search, analyze, and manage Docker resources through a standardized interface.

A production-grade MCP server providing 18 tools for comprehensive GitHub interaction, including repository management, issues, pull requests, code search, and CI/CD status, with Redis caching and rate limit handling.

A Model Context Protocol server for managing and executing dbt Cloud jobs via Claude, with search, run history, and job triggering capabilities, including safety confirmations.

Query Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.

Enterprise-grade MCP server for Jenkins CI/CD integration that enables AI assistants to diagnose build failures, analyze pipelines, and search logs through natural conversation.