"Querying Elasticsearch (ES)" matching MCP servers:

Enables MCP clients to read a Forgejo, Codeberg, or Gitea instance—including users, repositories, issues, pull requests, search, notifications, comments, reviews, and Actions runs—with opt-in, time-boxed guarded writes for repository, branch, issue, pull request, comment, migration, push-mirror, and workflow operations.

Enables SQL querying, schema browsing, query history, and human-approved change-plan workflows against Bytebase via the Connect-RPC API, secured with OAuth 2.1 PKCE and multi-process-safe token rotation.

Enables querying Codecov coverage data including file, commit, repository, and pull request coverage.

A secure MCP server providing read-only access to Argo CD instances using browser session cookies, enabling querying of applications, projects, clusters, and repositories.

Enables querying Azure VM image-baking pipeline runs, build status, and release evidence, and safely queueing pipeline runs with strict confirmation and parameter allow-lists.

Enables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.

Generates VS Code installation buttons and markdown badges for MCP servers, supporting both Stable and Insiders versions with configurable inputs and commands.

Provides AI assistants with full access to Jenkins CI/CD systems, enabling querying, managing, and controlling Jenkins jobs, builds, nodes, and queues through natural language.

Enables workflow management and Docker image building for Bio-OS platform. Supports WDL workflow submission, validation, and monitoring, along with Docker image building and status tracking for bioinformatics workflows.

Enables querying Playwright test failure reports and execution results directly from AI assistants, allowing retrieval of test outcomes, failures, and report details.

Enables querying Swarmia's Export API for engineering metrics including pull request analytics, DORA metrics, investment balance, and effort reporting through an MCP interface.

Enables MCP-capable AI agents to safely read and write ServiceNow records via the Table API, including querying, creating, updating records, running server-side scripts, and triggering CI/CD tests and scans.

Enables searching and managing Docker images and tags, as well as querying GitLab CI/CD references, versions, and pipeline configurations through a DevOps API.

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

A secure MCP server providing controlled access to pixi tasks and commands, eliminating agent bash circumvention. It exposes 11 pixi tools through 4 meta-tools for ~95% context savings.

Enables querying GitLab projects, pipelines, and jobs, and triggering manual deployment jobs after user confirmation, with secure token handling and scope restrictions.

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Lets coding agents ask whether a Supabase migration is safe to merge: it replays the base branch and working tree into throwaway databases, reports only the findings the change introduces, and proves RLS leaks by querying as anon. Tools are read-only and take profile names instead of connection strings.

Gives AI agents full access to IntelliJ IDE by running terminal commands, triggering builds, pushing notifications, and querying project context through a single MCP server with specialized plugins.

A Model Context Protocol server for querying package registries (npm, PyPI, crates.io) to retrieve metadata, release timelines, and maintenance signals.

Enables AI language models to securely interact with Jenkins through the Model Context Protocol, exposing tools for querying and managing jobs, builds, nodes, queues, views, plugins, artifacts, and Groovy scripts.

MCP-native evolution control plane that discovers, tests, governs, versions, and promotes improved AI agents. Integrates with LocalLLM-MCP for real or simulated model evaluation.

Read-only MCP server for VecheMoga, enabling AI assistants to query PostgreSQL, inspect logs, and check API delivery status.

Enables querying recent GitHub pull requests and commit diffs to correlate them with incident symptoms, and executing approved PR reverts through the GitHub REST API.

Enables AI assistants to interact with Jenkins through secure, contextual tools for querying and managing jobs, builds, nodes, queues, views, plugins, artifacts, and Groovy scripts, with configurable authentication and read-only safety.

MCP server that provides tools to interact with Azure DevOps, including querying work items, repositories, pull requests, builds, commits, and creating work items via a standardized interface.

Enables AI clients to securely interact with Jenkins through the Model Context Protocol, exposing tools for querying and managing items, builds, nodes, queues, plugins, artifacts, and Groovy scripts with configurable authentication and read-only mode.

An MCP server for managing AWS ECS clusters, services, tasks, and container logs. Enables AI assistants to perform operations like scaling, deployments, and log retrieval via natural language.

Enables AI assistants to securely interact with Jenkins through the Model Context Protocol, providing tools for querying, building, monitoring, and managing Jenkins items, builds, nodes, queues, plugins, artifacts, and scripts.

Enables querying and managing Apple App Store Connect resources such as apps, builds, TestFlight groups, reviews, sales reports, and more through MCP tools, with support for multiple Apple accounts and both remote and local deployment modes.