Mcp Chaining

This is a reference implementation for chaining multiple MCP tools in sequence with graceful degradation. It wires together five tools (nia for docs, ast-grep for code patterns, morph for fast search, qlty for linting, git for status) into a research-to-implementation pipeline where each step can fail independently without breaking the whole flow. The real value is seeing how to handle tool availability checks, pass environment variables correctly to subprocesses (there's a critical fix for API keys), and structure error handling so your pipeline doesn't explode when one service is down. If you're building anything that chains MCP calls, this shows the plumbing you need.

skills.sh installs: 483
GitHub stars: 3.9K
last updated: Aug 21, 2026

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Install

$ npx -y skills add parcadei/continuous-claude-v3 --skill mcp-chaining --agent claude-code

Installs into .claude/skills of the current project.

Files

MCP Chaining Pipeline

A research-to-implement pipeline that chains 5 MCP tools for end-to-end workflows.

When to Use

Building multi-tool MCP pipelines
Understanding how to chain MCP calls with graceful degradation
Debugging MCP environment variable issues
Learning the tool naming conventions for different MCP servers

What We Built

A pipeline that chains these tools:

Step	Server	Tool ID	Purpose
1	nia	`nia__search`	Search library documentation
2	ast-grep	`ast-grep__find_code`	Find AST code patterns
3	morph	`morph__warpgrep_codebase_search`	Fast codebase search
4	qlty	`qlty__qlty_check`	Code quality validation
5	git	`git__git_status`	Git operations