mcp-chaining
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
npx skills add parcadei/Continuous-Claude-v3 --skill mcp-chaining --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 | ## Key Files - `scripts/research_implement_pipeline.py` - Main pipeline implementation - `scripts/test_research_pipeline.py` - Test harness with isolated sandbox - `workspace/pipeline-test/sample_code.py` - Test sample code ## Usage Examples ```bash # Dry-run pipeline (preview plan without changes) uv run python -m runtime.harness scripts/research_implement_pipeline.py \ --topic "async error handling python" \ --target-dir "./wo
- When to Use
- What We Built
- Key Files
- Usage Examples
- Critical Fix: Environment Variables
- Graceful Degradation Pattern
- Tool Name Reference
- nia (Documentation Search)
- ast-grep (Structural Code Search)
- morph (Fast Text Search + Edit)
- qlty (Code Quality)
- git (Version Control)
- Pipeline Architecture
- Error Handling
Dry-run pipeline (preview plan without changes) uv run python -m runtime.harness scripts/research_implement_pipeline.py \ Run tests uv run python -m runtime.harness scripts/test_research_pipeline.py --test all View the pipeline script cat scripts/research_implement_pipeline.py
What does the mcp-chaining skill do?
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
How do I install it?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill mcp-chaining --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From parcadei/Continuous-Claude-v3, a repository with 3,879 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.