# reShapr Blog

> For AI agents: the complete documentation index is available at https://reshapr.io/llms.txt and the full documentation bundle at https://reshapr.io/llms-full.txt.

> Perspectives on AI infrastructure, the Model Context Protocol, and enterprise API enablement from the team building reShapr.

Human-readable blog: https://reshapr.io/blog

The post titles below link directly to their machine-readable Markdown versions.

## [reShapr vs Official GitHub MCP 🥊](https://reshapr.io/blog/reshapr-vs-official-github-mcp.md)

Published: 2026-07-10

A live, curl-reproducible benchmark showing how reShapr turns a 31-call GitHub MCP pull-request workflow into one predictable agent action, then trims the response further with output filters and TOON.

Tags: MCP, GitHub, API, Custom Tools, Scripted Custom Tools, Output Filtering, TOON, Benchmark, Token Optimization, LLM, AI Agents

Human-readable post: https://reshapr.io/blog/reshapr-vs-official-github-mcp

---

## [From API Sprawl to Agent Actions](https://reshapr.io/blog/from-api-sprawl-to-agent-actions.md)

Published: 2026-07-07

How reShapr turns existing APIs into governed, task-specific MCP tools with Custom Tools, scripted orchestration, and output filtering.

Tags: MCP, API, Custom Tools, Scripted Custom Tools, Output Filtering, Governance, Context, Token Optimization, Enterprise, LLM, AI Agents

Human-readable post: https://reshapr.io/blog/from-api-sprawl-to-agent-actions

---

## [Welcome to reShapr ⭐️](https://reshapr.io/blog/welcome-to-reshapr.md)

Published: 2026-03-31

From a private beta experiment to an open project — reShapr is now live. Here's the story behind it and what comes next.

Tags: Announcement, MCP, Open-Source, AI-native, Anthropic, Enterprise, Community, CNCF, AAIF, API, No-Code, AI Agents

Human-readable post: https://reshapr.io/blog/welcome-to-reshapr

---

## [From Context Overload to Context Control!](https://reshapr.io/blog/from-context-overload-to-context-control.md)

Published: 2026-03-30

How reShapr's selective tool exposure makes the Model Context Protocol production-ready at enterprise scale.

Tags: MCP, Production, Context, Token Optimization, Anthropic, LLM, No-Code, API, Enterprise, Security, Governance, Observability, AI-native

Human-readable post: https://reshapr.io/blog/from-context-overload-to-context-control

---

## [Six Use Cases for Accelerating AI with reShapr 🚀](https://reshapr.io/blog/six-use-cases-for-accelerating-ai-with-reshapr.md)

Published: 2026-03-15

Six ways organizations use reShapr to streamline API enablement, accelerate prototyping, and securely integrate AI into production.

Tags: Use Cases, AI, Anthropic, Enterprise, MCP, No-Code, API, Security, REST, gRPC, GraphQL, LLM, CI/CD, Hybrid, On-Prem, RAG

Human-readable post: https://reshapr.io/blog/six-use-cases-for-accelerating-ai-with-reshapr

---

## [Why reShapr?](https://reshapr.io/blog/why-reshapr.md)

Published: 2026-03-01

Why enterprises shouldn't build MCP servers from scratch — and what a no-code MCP server changes about AI-native API access.

Tags: MCP, Architecture, Anthropic, Enterprise, No-Code, API, Security, AI-native, LLM, REST, gRPC, GraphQL

Human-readable post: https://reshapr.io/blog/why-reshapr

---

For the complete documentation index, see https://reshapr.io/llms.txt.