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.
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.
A registry for open-source MCP Servers, clients, tools, and integrations, featuring daily updated servers and various MCP implementations.
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.
Prior Labs offers TabPFN MCP, a beta tool for LLMs to make predictions on tabular data, providing enhanced data analysis capabilities.
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.
MCP servers providing EPA air quality monitoring and HUD foreclosure data, offering tools for environmental and housing data access.
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.
A comprehensive MCP server hosted on GitHub, exposing dozens of capabilities to AI agents, facilitating agent interaction and functionality.
Tracecat is a platform that allows users to drive workflows and cases through MCP clients like Claude, Cursor, and ChatGPT, enabling building, editing, and running automations.
Domain-specific MCP Servers hosted on GitHub, providing access to code, repositories, users, issues, and pull requests. Offers documentation and API documentation.
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.
