Apigene Blog
Insights, tutorials, and updates about AI agents and MCP
insights
Solving MCP Tool Overload: How Apigene's Dynamic Tool Loading Reduces Token Costs by 98%
As AI agents connect to hundreds of MCP servers, loading all tool definitions upfront consumes massive context windows. Apigene's dynamic tool loading solves this with on-demand discovery, reducing token usage by up to 99%.
12 min read
insights
Reducing Tool Output by up to 99%: JSON Compression, Response Projection, and Caching for LLM Cost Optimization
Large tool outputs consume massive token budgets and create context rot. Apigene's three-layer optimization—JSON compression, JMESPath projection, and intelligent caching—reduces tool output by up to 99%, cutting LLM costs and improving accuracy.
15 min read
insights
From Sequential to Parallel: How Apigene's Parallel Tool Execution Accelerates AI Agents by 10x
Traditional AI agents execute tools sequentially, creating bottlenecks that slow down workflows. Apigene's parallel tool execution enables agents to run multiple actions simultaneously, reducing latency by up to 90% and improving agent efficiency.
10 min read
updates
Natural Language Meets Enterprise Data: MongoDB Atlas and Apigene Transform Database Operations
For teams building modern applications, MongoDB Atlas has revolutionized how we work with data. Today, we're announcing a partnership that makes these powerful capabilities accessible through natural language.
8 min read