* [GitHub MCP Server v2.0.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [Context7 MCP mcpb-v4.3.0](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [Redmine AI Helper Plugin 3.10.0](https://github.com/haru/redmine_ai_helper) – Adds an AI chat sidebar and AI-powered features for issue summarization, draft comments, subtask generation, duplicate detection, and project health reports within Redmine.

* [1MCP v0.39.0](https://github.com/1mcp-app/agent) – Unified Model Context Protocol server that aggregates multiple MCP servers into a single endpoint.

* [MCP PostgreSQL Operations Server 3.4.0](https://github.com/call518/MCP-PostgreSQL-Ops) – Professional MCP server for PostgreSQL database operations, monitoring, and performance analysis with version-adaptive features.

* [n8n-MCP v2.92.1](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

* [MCP Ruby SDK v1.7.0](https://github.com/modelcontextprotocol/ruby-sdk) – Ruby SDK for implementing Model Context Protocol servers and clients.

* [mcp-v8 v0.22.0](https://github.com/r33drichards/mcp-js) – mcp-v8 is a Model Context Protocol server that runs JavaScript and TypeScript in a sandboxed V8 isolate with secure, policy-driven permissions and durable heap snapshots.

* [FrontMCP v1.9.2](https://github.com/agentfront/frontmcp) – TypeScript-first framework for building Model Context Protocol servers with decorators, DI, and Streamable HTTP.

* [Bifrost core/v1.11.3](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [sentry-mcp cli@0.47.0](https://github.com/getsentry/toolkit) – A remote MCP middleware that lets LLM coding assistants interact with Sentry through an upstream API, with optional stdio transport for self-hosted setups.

* [MCP TypeScript SDK @modelcontextprotoco...](https://github.com/modelcontextprotocol/typescript-sdk) – TypeScript SDK implementing the full Model Context Protocol for building compliant servers and clients.

* [Gram server@2.21.0](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [@cap-js/mcp-server v0.0.7](https://github.com/cap-js/mcp-server) – Model Context Protocol server providing fuzzy model and semantic documentation search for SAP CAP development.

* [Figma MCP Bridge v0.0.23](https://github.com/gethopp/figma-mcp-bridge) – Figma MCP Bridge is a plugin plus MCP server that streams live Figma document data to AI tools while bypassing Figma API rate limits.

* [KSail v7.198.27](https://github.com/devantler-tech/ksail) – CLI providing a unified interface to create and operate Kubernetes clusters and manage cloud-native workloads.

* [Hevy MCP Server hevy-mcp@6.1.21](https://github.com/chrisdoc/hevy-mcp) – Hevy MCP server that lets AI clients securely read, analyze, and write workout data, including routines and templates, via authenticated Hevy API requests.