"Semantic search, RAG, and memory systems" matching MCP servers:

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

This MCP server enables intelligent API testing automation by combining RAG knowledge retrieval with tool execution capabilities. It allows QA engineers to perform natural language-driven API testing with contextual knowledge support.

Enables creating release manifests and verifying that local release folders or public HTTPS bytes match the manifest, using read-only MCP tools.

Provides a read-only tool to check Wrangler configuration files for common mistakes before deployment, supporting environment selection and strict mode.

Local MCP runtime that gives persistent cross-session memory to 12 AI coding agents (Claude Code, Cursor, Codex, Gemini CLI, Windsurf, Amp, and more). SQLite-backed state survives context resets. Install: npm install -g @egchq/egc

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.

Your agent ships your app to a live HTTPS address. Alerts, logs, backups, rollback and project memory come with it, and nothing is deleted without your approval.

A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.

Enables interaction with GitHub repositories, issues, pull requests, code search, branches, and GitHub Actions workflows.

Enables AI systems like Claude and Cursor to directly manage Railway projects, deployments, services, environment variables, and monitor logs through natural language commands.

Enables intelligent access to AL-Go documentation, workflows, and domain expertise for Business Central development automation through specialized personas and cross-source semantic search.

Enables autonomous agents and CI pipelines to execute declarative multi-step REST API workflows in a single tool call, with in-memory variable chaining, assertions, and built-in SSRF protection.

Enables searching, reading, and analyzing discussions on GitLab's community forum for troubleshooting CI/CD issues and GitLab features. Pre-configured with GitLab-specific search filters and optimized workflows for support scenarios.

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 AI assistants to manage GitVerse repositories, pull requests, code reviews with inline comments and approval verdicts, assignees, labels, and CI runs through 25 semantic tools.

MCP server for Azure DevOps Git operations integration with AWS Q, enabling repository search, repository info retrieval, and access to pipeline variables and variable groups.

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.

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.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

A production-ready template for building Model Context Protocol (MCP) servers in Python, using Docker Compose for containerized development and CI/CD.

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

Enables comprehensive DevOps infrastructure management through tools for Jenkins, Ansible, Terraform, Kubernetes, and Docker operations. Features a sophisticated memory system for context retention and provides validation, generation, and optimization capabilities across DevOps workflows.

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.

Enables cross-session memory, weighting, and factory/PR/artifact linking for CIC agents, aggregating multiple sessions to identify promotion candidates.

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.

A boilerplate for building FastMCP servers, providing a basic setup for testing, linting, formatting, and publishing to NPM.