Solved maps the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
Model Context Protocol (MCP) server and CLI for AI agents to autonomously build, test, and debug iOS apps within Xcode, bridging AI and development workflows.
Exa MCP server for web search and web crawling, providing AI search engine capabilities and a web search API. Enables searching and extracting structured content from live data.
AI Skills, MCP Tools, and CLI for Unity Engine, enabling AI development and testing loops for game development. Supports various LLMs and tools for free.
Google Workspace MCP Server for integrating AI assistants with Gmail, Google Calendar, Docs, Sheets, Slides, and Tasks via the Model Context Protocol.
MCP Aggregator, Orchestrator, Middleware, and Gateway in one Docker container. Provides tools for managing and integrating MCP servers.
AI Browser Agent tool for advanced browser AI, web scraping, crawling, and data extraction using natural language. Part of Oxylabs AI Studio, simplifying web data collection.
Demonstrates protecting OpenAI API keys using a Cloudflare Worker, enabling client-side applications to securely interact with OpenAI services.
Ghidra MCP Server is a project offering 110 tools for AI-assisted reverse engineering, indicated by an HN Show HN post. It leverages the Model-Context Protocol for its operations.
MCP server for EPA air quality data and HUD foreclosure listings. Connects AI assistants to environmental monitoring and housing property data.
MCP server for Claude Desktop, Claude Code, Windsurf, and Cursor to build n8n workflows. Connects AI tools to workflow automation.
Model Context Protocol (MCP) is an open standardized protocol for connecting LLMs to external tools, APIs, databases, and services, enabling clients to access tools exposed by an MCP server.
API documentation for Maven AGI, an enterprise AI Agent Platform designed for Customer Experience (CX). Provides developers with the necessary information to integrate with the platform.
MCP servers providing EPA air quality monitoring and HUD foreclosure data, offering tools for environmental and housing data access.
Workflow automation for EPA environmental compliance, accessible through a paid community offering live Q&A with creators.
This resource discusses challenges in building real-time agentic AI applications interacting with AWS HealthLake datastores, requiring knowledge of FHIR operations and Amazon Web Services.
Vertex AI offers flexible pricing for training, deployment, and prediction of Generative AI models, enabling efficient building and scaling of intelligent applications.
Portkey AI provides an Agent Gateway, offering API documentation and pricing information for AI-related services.
AWS provides cloud computing services that enable the building of intelligent AI agents capable of independent planning and execution of complex business workflows.
Gemini is Google's AI assistant for everyday use, offering capabilities for various daily tasks and information retrieval.
Domain-specific MCP Servers hosted on GitHub, providing access to code, repositories, users, issues, and pull requests. Offers documentation and API documentation.
Developer API documentation and community discussions for Qualys, providing resources for integrating with their security and compliance platform.
Wxi API is an API gateway providing access to various AI models like OpenAI, Claude, and Midjourney at competitive prices, with features for integration and load balancing.
OpenRouter provides unified access to a wide range of AI models, including free options, enabling users to experiment, learn, and build with various LLMs.
Shyft is an AI transformation partner that builds unified data infrastructure for B2B companies, offering services to leverage AI for data management and transformation. They unify tool stacks and make them AI-ready.
