Blogs

Code execution with MCP: building more efficient AI agents

Anthropic

Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

Visit Site

Code execution with MCP: building more efficient AI agents
Scaling Managed Agents: Decoupling the brain from the handsAnthropic Writing effective tools for AI agents—using AI agentsAnthropic Introducing advanced tool use on the Claude Developer PlatformAnthropic Introducing Anthropic InterviewerAnthropic Clio: A system for privacy-preserving insights into real-world AI useAnthropic Barclays scales Claude to upgrade operations and improve client experienceAnthropic Docs-as-code solutions for API teams: how to choose the right platform in 2026Mintlify Mintlify Alternatives: What to Consider (and Why There's No True Substitute)Mintlify 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify Trained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram Video: Building a Live Transcription Badge With Deepgram - Deepgram Blog ⚡️Deepgram Build a Presentation Coaching Application with Recall - Deepgram Blog ⚡️Deepgram No Code Transcription: Simplifying Workflows with Deepgram and Make.comDeepgram NoSQLNow! 2014 Case Study: Bleacher Report on Redis LabsRedis Redis Enterprise Rising!Redis The Proven Redis PerformanceRedis Rapid `14 Q1 Growth, 23K+ Customers, 45K+ Instances, 4 Clouds (and 10 Regions)Redis Redis Labs’ Customers Award Accolades!Redis Money! Money! Money!Redis Redis Cloud PrivateRedis