"Information about MCP Discovery" matching MCP servers:

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Enables AI agents and CI/CD pipelines to manage artifacts across Sonatype Nexus Repository 3 and JFrog Artifactory, including repository discovery, checksum verification, confirmation-gated uploads, promotion, snapshot cleanup, and Docker digest resolution for deployment handoff.

Aegis keeps Claude Code, Codex CLI and Antigravity on your project's rules via a zero-dependency Model Context Protocol (MCP) server (aegis-mcp), AGENTS.md / CLAUDE.md bootstrap, git pre-commit hooks, and CI governance (aegis check). It serves each agent just-in-time rules for the files it is about to edit, then enforces AST and repository invariants before commit and in pull requests.

Turns JUnit XML test reports from CI into queryable QA metrics, letting AI assistants answer plain-English questions about failures, flaky tests, regressions pinned to a commit, root-cause clusters, and performance drift. Also generates ready-to-share QA health reports and self-contained HTML dashboards without logging into separate tools.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

MCP server for Beaker lab automation, enabling system provisioning, job management, distro discovery, and failure diagnosis through 25 tools.

Enables AI assistants to answer questions about nixpkgs packages using nixkeeper's public data, covering outdated versions, Hydra build status and failures, update-bot attempts, related PRs and issues, CVEs, and what needs attention for a maintainer or team. It runs locally over stdio, reads only public data, and requires no account or token.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

Enables interaction with the Tembo API to manage organization tasks and view enabled code repositories. Users can create, search, and list tasks or retrieve account information directly through MCP-compatible clients.

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 Model Context Protocol server that allows management of Netlify sites, enabling users to create, list, get information about, and delete Netlify sites directly from an MCP-enabled environment.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

Enables lifecycle management of the Aspose product catalog, including discovery, qualification, versioned manifests, landing-page generation, and human-in-the-loop approvals.

Enables AI assistants to interact with the Cycloid platform for infrastructure management, including blueprint discovery, stack creation, pipeline listing, and event monitoring via natural language.

Give your coding agent the dependency graph it is about to change: scan, diff, explain, audit.

Connects AI agents and MCP clients to Azure DevOps through a single PipMCP API key, exposing hosted tool discovery, schema validation, and policy-governed execution so agents can read project and pipeline data and approve selected write actions.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

Connects AI coding assistants to the JFrog platform, enabling natural-language queries for resource management, artifact discovery, security monitoring, and catalog curation.

Connects AI agents and MCP clients to hosted CircleCI tool discovery and governed execution through PipMCP using a single API key, supporting pipeline investigation and explicitly approved workflow changes.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and access pipeline information through cloud and server APIs with configurable authentication.

Builds a dependency and topology graph of a Kubernetes/FluxCD GitOps repository via static analysis, enabling AI agents to reason about service relationships without cluster access.

Enables AI agents to query and interact with Azure DevOps data, including work items, projects, ticket statistics, and backlog information through natural language commands.

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Enables managing Netlify sites, deploys, builds, environment variables, and user information through MCP tools backed by the Netlify REST API.

Enables software delivery as a sequence of named, gated workflow steps, from discovery and planning through build, review, and handoff, with verifiable gates and resumable state outside the chat.

Enables users to validate a remote MCP server against Claude connector directory rules — sign-in discovery, tool metadata, and listing requirements — and walk through publishing it to npm, the official MCP Registry, a Claude Code plugin repo, and the Claude connector directory one step at a time.

An AI-DevOps MCP server that gives LLMs read-only-by-default access to Kubernetes clusters, Prometheus metrics, and GitHub Actions, enabling natural language queries about infrastructure status and safe write operations with previews.

Enables an AI to statically audit GitHub Actions workflow files, parsing YAML with accurate line numbers and reporting findings about on: key quirks, expression injection risks, unpinned actions, effective token permissions, and cron scheduling.

A read-only MCP server that exposes a self-hosted Atlassian Bamboo instance to AI assistants, enabling natural language queries about builds, deployments, and plan status.