Latest insights, tutorials, and updates from the Model Context Protocol team
The free-llm-api-resources MCP Server, a Python project, provides a curated list of free LLM inference resources accessible via API. It solves the problem of discovering legitimate, no-cost LLM API access, making it essential for developers integrating LLMs into prototypes or budget-constrained applications.
SurfSense is an open-source NotebookLM alternative designed for open web research with live data. It provides a suite of connectors as native tools, accessible to your agents via its MCP server. Developers can integrate SurfSense with platforms like Claude or Cursor to empower AI agents with real-time web research capabilities.
posthog is a Python-based MCP Client for building self-driving products, offering AI observability, analytics, and developer tools. It captures agent context for diagnosing problems and uncovering opportunities, steerable from Slack, web, desktop, or the MCP.
antigravity-awesome-skills is an MCP Server providing an installable Python library of over 1,400 agentic skills for AI coding assistants like Claude Code, Cursor, and Gemini CLI. It offers structured `SKILL.md` playbooks, bundles, and workflows to enhance AI agent context and output for development tasks. Developers aiming to standardize and scale AI assistant capabilities across multiple tools will find it useful.
MaxKB is an open-source enterprise AI assistant that leverages the Model Context Protocol (MCP) to enhance LLM capabilities. It integrates external tools and services, providing RAG pipelines and agentic workflows for complex business scenarios. Developers can use MaxKB to extend LLMs with real-world data and specialized functions.
genai-toolbox is an open-source MCP server in Go, specifically designed to simplify building AI agent tools that interact with databases. It abstracts complexities like connection pooling and authentication, enabling faster, more secure development of database-backed MCP tools.