Skip to main content
Glama
91,372 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Welcome to the Jungle" matching MCP servers:

GET /v1/servers – MCP directory API reference
  • A
    license
    A
    quality
    B
    maintenance
    MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.
    1
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Enables AI agents to retrieve the latest semantic version tags for container images from Docker Hub, GHCR, Quay, and other OCI registries, allowing them to pin specific versions for reproducible deployments.
    5
    -
  • A
    license
    A
    quality
    B
    maintenance
    Developers are constantly feeding context files to AI tools like Cursor, Windsurf, Copilot Workspace, and Claude Code. If your agent doesn't understand your real database schema, it writes code that fails in production. LintBase acts as the bridge. It connects directly to your database, reads the ground truth of your live documents, and generates structured context optimized for AI. 🤖 Stops AI
    3
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to interact with TrafficMorph for load-testing and CI-failure triage, including run management, profile lifecycle, and domain verification through natural language.
    25
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Enables AI assistants to deploy, manage, and rollback websites via the Krexel API, supporting site uploads, deploys, logs, rollbacks, environment variables, and status checks.
    9
    46 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.
    6
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for GitFlic, the Russian Git hosting platform, enabling AI agents to manage projects, issues, merge requests, files, and more via 66 tools covering 13 API categories.
    66
    6 npm
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Enables AI assistants to manage and operate Venelx CI/CD pipelines through the Venelx REST API, including listing projects, triggering builds, checking status, tailing logs, accessing artifacts and workers, and diagnosing signing or GitHub access.
    9
    17 npm
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables monitoring and analysis of Ansible playbook executions through the Ara Records API. Provides real-time playbook monitoring, task progress tracking, and comprehensive access to Ansible execution data.
    3
    4 npm
    1
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Self-hosted coding agent that runs Claude Code or Codex in your own infrastructure and works from Slack. Exposes codebase investigation, file edits, branch and PR creation, allowlisted command execution, CI status and an audit log as MCP tools, keeping every credential behind the tool layer instead of handing it to the model.
    12
    10 npm
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol server that provides integration with the Coolify API, enabling DevOps teams to manage Coolify deployments, applications, services, and servers through MCP tools.
    32
    140 npm
    46
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.
    12
    4
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    Enables monitoring and control of the SST development process by streaming dev logs, managing Lambda invocations, and executing lifecycle commands like start, stop, and restart. It provides real-time access to event streams and deployment status directly through the Model Context Protocol.
    6
    2
    -