AgentKit is a Python MCP server for AI agents working with KPI analytics, business resources, forecasting, and executive reporting workflows in the 2026 release.
View on GitHub ↗AgentKit - Business Intelligence MCP Server 2026
AgentKit is a Python MCP server that enables AI agents to work with KPI analytics, business resources, forecasting, and executive reporting workflows in the current 2026 release.
AgentKit brings business intelligence workflows to MCP-enabled AI clients. Its six tools support KPI lookups, business health evaluation, anomaly discovery, metric exploration, forecasting, and the creation of executive-ready summaries.
Analytics are grouped into Finance, Growth, Operations, People, ESG, and IT Operations. The server works with Claude Desktop, Cursor, LangGraph, CrewAI, DSPy, and other compatible agent environments. PostgreSQL serves as the storage backend for KPI data.
- Six MCP tools covering KPI queries, business health scoring, anomaly detection, forecasting, metric discovery, and executive reporting - Six business resource categories: Finance, Growth, Operations, People, ESG, and IT Operations - A reusable monthly executive briefing prompt for repeatable reporting - Support for multi-agent workflows built with LangGraph - Integrations with the Claude Agent SDK, CrewAI, and DSPy - MCP connectivity for Claude Desktop, Cursor, and other compatible agent clients - Forecasting through linear regression and Monte Carlo methods - PostgreSQL-based KPI persistence - Configurable routing across Anthropic, Groq, OpenAI, and Ollama models - Anonymous telemetry with a configurable opt-out
From the project README.
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⚡ The open-source persistent cognitive memory layer for AI coding agents. Stop your Cursor, Claude & Copilot from having amnesia.
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