@earendil-works/pi-mcp

Name: @earendil-works/pi-mcp Review
Item: @earendil-works/pi-mcp
Rating: 3.8
Author: Aaron Matthews

Connector Development Solid

Works inClaude Code Claude Cowork Claude Chat

Solid Scanned — metadata only

Enables teams to integrate Claude into custom applications and workflows via Model Context Protocol, reducing vendor lock-in and expanding AI capabilities be…

Standalone Model Context Protocol client for pi and other applications

Ask Claude to analyze code repositories through the MCP protocol for architecture review
Generate documentation by connecting Claude to your codebase via standardized protocol
Automate code quality checks by running Claude analysis on multiple project files

117,528 starsMIT (commercial OK)FreeNo code needed

Why it matters

Enables teams to integrate Claude into custom applications and workflows via Model Context Protocol, reducing vendor lock-in and expanding AI capabilities beyond chat interfaces into developer tooling and automation.

Best for

Engineering teams building MCP-compatible applications or integrations requiring Claude's reasoning within development environments.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://www.npmjs.com/package/@earendil-works/pi-mcp

By GitHub Actions

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

npx -y @earendil-works/pi-mcp

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Analyze code repositories through the MCP protocol for architecture review

CostFree

Trust Signals Auto-scanned

Stars117,528Contributors307Last updated2026-10-24LicenseMIT (OK for commercial use)Weekly downloads1,567,499Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-24 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 112,537 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

5/5

Reliability

3/5

Security

3/5

Overall score3.85 / 5.00 SolidEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 112,537 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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