Toolbox for AI agent skills: scaffold, lint, pack, install, and serve SKILL.md skills.
Diagnoses ArduPilot DataFlash flight logs over the Model Context Protocol.
Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
AI forecasting for your AI: probabilities, dates, and numbers with a public track record.
Policy review and purchase discovery for AI-agent commerce actions.
MCP server for EAD Enterprise Suite - signatures, evidence, notifications, dossiers via AI agents.
MCP server for health-service coordination in East Africa (afya = health).
MCP server for mental-health support coordination in East Africa (afya ya akili = mental health).
MCP server for land records and land-service coordination in Kenya (ardhi = land).
🛡️ bima-mcp — Kenya Insurance Intelligence MCP Server.
MCP server for congregation and community-organization coordination in East Africa.
MCP server for Kenyan county-government services and coordination.
classical-strategy-mcp.
MCP server for diaspora services coordination between East Africa and abroad.
MCP server for education coordination in East Africa (elimu = education).
MCP server for savings and investment coordination in East Africa (faida = returns).
MCP server for family-services coordination in East Africa (familia = family).
MCP server for government forms and document workflows in Kenya (fomu = form).
MCP server for news and public-information coordination in East Africa (habari = news).
MCP server for labor-rights information and coordination in Kenya (haki ya kazi = labor rights).
MCP server grounding agents in East African historical sources (historia = history).
MCP server for community-group coordination in East Africa (jumuia = community).
MCP server for jobs and employment coordination in East Africa (kazi = work).
MCP server for agriculture coordination in East Africa (kilimo = farming).
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.