Enterprise DNA
M MCP Servers Developer low

rejifald/StitchAPI

by Various

The agent-native runtime where a typed, declarative stitch replaces fetch — for humans and agents alike.

R

MCP

rejifald/StitchAPI

Added 13 July 2026

#api #mcp #mcp-server #npm-package #typescript

Overview

A TypeScript runtime that replaces fetch with a typed, declarative stitch for API composition. Designed for use by both humans and AI agents, it provides a structured way to combine multiple API calls.

Best for

Best for
Developers building typed API orchestration layers for both human and agent consumption

Use cases

  • Orchestrating multiple API calls with declarative pipeline definitions
  • Building agent-compatible API integration layers with typed interfaces
  • Replacing ad-hoc fetch logic with a consistent stitch-based runtime

How to use

Install

npm install stitchapi@rc   # or: pnpm add stitchapi@rc · yarn add stitchapi@rc

Tools exposed

  • STITCH_VALIDATION
  • STITCH_DRIFT
  • STITCH_AUTH_WALL
  • STITCH_TIMEOUT
  • STITCH_CIRCUIT_OPEN
  • STITCH_GRAPHQL

Tested with

Cursor, Windsurf, Cline

Notes

A TypeScript runtime that replaces fetch with a typed, declarative stitch for API composition. Designed for use by both humans and AI agents, it provides a structured way to combine multiple API calls.

8 stars on GitHub. Last updated 2026-07-13. Licensed Apache-2.0.

Use cases

  • Orchestrating multiple API calls with declarative pipeline definitions
  • Building agent-compatible API integration layers with typed interfaces
  • Replacing ad-hoc fetch logic with a consistent stitch-based runtime

Pros

  • Typed design improves developer experience and reduces runtime errors
  • Declarative syntax simplifies complex API orchestration
  • Agent-native focus allows seamless use by autonomous workflows

Cons

  • Small community with only 8 GitHub stars, limiting support and ecosystem
  • Requires shifting from imperative fetch to a new declarative abstraction
  • Limited adoption evidence for production-scale or agent-heavy use cases

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Typed design improves developer experience and reduces runtime errors
  • Declarative syntax simplifies complex API orchestration
  • Agent-native focus allows seamless use by autonomous workflows

Cons

  • Small community with only 8 GitHub stars, limiting support and ecosystem
  • Requires shifting from imperative fetch to a new declarative abstraction
  • Limited adoption evidence for production-scale or agent-heavy use cases
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

Running a business, not writing the code? See the MCP servers picked for operators, and get your first one wired up with us.

Operator picks