"Allowing image imports via MCP" matching MCP servers:

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Enables natural language interactions with CircleCI through Model Context Protocol, allowing users to retrieve build logs, find flaky tests, check pipeline statuses, and manage workflows without leaving their IDE.

Enables management of Railway.app infrastructure through natural language, allowing users to deploy services, manage environment variables, monitor deployments, and configure projects directly from MCP clients like Claude.

Enables test execution and management through MCP clients, allowing retrieval of projects, listing tests, executing tests with browser selection, and monitoring results.

Integrates Honeybadger error tracking with Cursor IDE, allowing developers to fetch, analyze, and troubleshoot application errors directly from their development environment.

A server that enables interaction with Jenkins CI/CD pipelines from any compatible MCP client (like Claude Desktop), allowing users to manage jobs, builds, coverage reports, and other Jenkins functionality through natural language.

Exposes Makefile targets as MCP tools, allowing AI agents to execute project automation tasks like build, test, and deploy through natural language.

Connects AI agents to Modal.com infrastructure, allowing management of deployments, apps, containers, volumes, secrets, and environments via MCP tools.

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

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

Enables deploying and managing infrastructure via natural language, including project/domain management, compute nodes, image deployment, and CI/CD integration.

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 git-based version control for n8n workflows with automatic credential remapping, allowing AI tools to pull, push, and manage workflows across environments.

Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.

An MCP server that enables AI assistants to interact with WeChat Mini Programs, allowing developers to publish versions, analyze package size, diagnose compilation errors, and manage projects via natural language.

A server that enables interaction with Octopus Deploy through the Model Context Protocol, allowing users to manage projects, releases, and deployments across different spaces.

Enables managing multiple self-hosted Coolify instances via MCP, with tools for deploying, monitoring, and emergency operations.

MCP server for managing multiple Jenkins instances via REST API, supporting job/build queries, triggering builds, and logs with optional read-only mode.

MCP server for homelab diagnostics + auto-update pipeline, managing Docker hosts via SSH with read-only diagnostics, image-drift visibility, and automated update execution with rollback.

Enables comprehensive management of Railway infrastructure, including projects, services, variables, and deployments, directly through the Railway GraphQL API. It is designed to work as a remote service over HTTP, allowing seamless integration with cloud-based MCP clients like claude.ai.