Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
LLM abstractions that aren't obstructions
Easily create LLM tools and agents using plain Bash/JavaScript/Python functions.
Arcade Python SDK and CLI
NyaProxy acts like a smart, central manager for accessing various online services (APIs) – think AI tools (like OpenAI, Gemini, Anthropic), image generators, or almost any web service that uses access keys. It helps you use these services more reliably, efficiently, and securely.
Model Context Protocol (MCP) Server for Graphlit Platform
** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.
Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.
MCP-NixOS - Model Context Protocol Server for NixOS resources
Python SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)
A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with minimal integration effort.
Manage / Proxy / Secure your MCP Servers
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
A collection of LLM related papers, thesis, tools, datasets, courses, open source models, benchmarks
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.
Collection of leaked ChatGPT system prompts, documenting base tools, conditional features, and specialized assistants. Provides insights into the internal structure and behavior of different ChatGPT components and their activation conditions.
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