"Setting up multiple MCP servers within one MCP server" matching MCP servers:

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

A workspace of six MCP servers—grounded-cv (hybrid RAG with citations), repo-intel (GitHub repo intelligence), web-research (safe web search/extraction), ats-jobs (unified ATS job boards), outcome-ledger (durable task ledger), and coding-workflows (code review & planning)—purpose-built for agentic hiring evaluations.

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

MCP servers for querying and submitting Ubuntu data via ubq, covering bugs, packages, versions, and merge requests with multiple authentication providers.

Enables secure integration between GitHub and Jira with permission controls, allowing users to manage repositories, create issues and pull requests, and handle Jira project workflows through natural language. Supports OAuth authentication and comprehensive security enforcement for both platforms.

Enables interaction with GitHub through the GitHub API, supporting file operations, repository management, advanced search, and issue tracking with comprehensive error handling and automatic branch creation.

Enables AI agents to interact with GitHub, providing tools to list and get repository details using a personal access token.

Production-ready TypeScript MCP server exposing utility, GitHub, and Microsoft Teams tools over stdio.

A monorepo containing three Model Context Protocol (MCP) servers that enable natural language interaction with databases, GitHub repositories, and time/timezone services.

Provides a standardized interface for interacting with GitHub's tools and services through the Model Context Protocol, enabling unified API access and compatibility with MCP-compliant tools.

A secure, git-aware MCP server for working with local repositories, enabling file management, shell commands, and full git operations within allowed directories.

Integrates GitLab with AI assistants to manage merge requests, analyze CI/CD pipelines, and create Architecture Decision Records. It enables seamless code searching, pipeline triggering, and deployment management through the Model Context Protocol.

Provides specialized backup and restoration capabilities for AI agents and code editors, enabling instant, context-aware save points for files and folders. It supports version history, pattern filtering, and automated safety backups to protect code during critical refactoring or restructuring tasks.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

Connects Claude Desktop directly to GitHub repositories and git commands, enabling users to clone repos, check status, commit changes, push code, create repositories, and manage GitHub resources through natural conversation.

Provides tools for managing GitHub sub-issues and milestones, including adding/removing sub-issues, getting parent issues, and setting milestones.

Enables seamless interaction with Azure DevOps for managing Git repositories, branches, and pull requests through natural language. It also supports automating and monitoring pipelines while providing secure, type-safe operations within MCP-compatible clients.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (42 meta-tools / 57 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.