Is io.github.pyalwin/codemesh safe to use?

io.github.pyalwin/codemesh has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.pyalwin/codemesh?

io.github.pyalwin/codemesh supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.pyalwin/codemesh?

io.github.pyalwin/codemesh is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse and http transport.

Is io.github.pyalwin/codemesh actively maintained?

io.github.pyalwin/codemesh is actively maintained — last commit was 0 days ago.

io.github.pyalwin/codemesh

@pyalwin/codemesh

Intelligent code knowledge graph for AI coding agents — 71% cheaper, 72% faster

0 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 0d ago

Untested

Transport: stdio, sse, http

0 tools

Grade F

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "codemesh": {
      "env": {
        "CODEMESH_PROJECT_ROOT": "/path/to/your/project"
      },
      "args": [
        "-y",
        "@pyalwin/codemesh"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-pyalwin-codemesh)](https://mcppedia.org/s/io-github-pyalwin-codemesh)

Read me

What io.github.pyalwin/codemesh does

Intelligent code knowledge graph for AI coding agents

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@pyalwin/codemesh' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

55/100across 5 weighted dimensions

How we score →

0255075100

−45

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @pyalwin/codemesh against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.pyalwin/codemesh safe to use?: io.github.pyalwin/codemesh has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.pyalwin/codemesh?: io.github.pyalwin/codemesh supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.pyalwin/codemesh?: io.github.pyalwin/codemesh is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse and http transport.
Is io.github.pyalwin/codemesh actively maintained?: io.github.pyalwin/codemesh is actively maintained — last commit was 0 days ago.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "codemesh": {
      "env": {
        "CODEMESH_PROJECT_ROOT": "/path/to/your/project"
      },
      "args": [
        "-y",
        "@pyalwin/codemesh"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-pyalwin-codemesh)](https://mcppedia.org/s/io-github-pyalwin-codemesh)

Read me

What io.github.pyalwin/codemesh does

Intelligent code knowledge graph for AI coding agents

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@pyalwin/codemesh' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

Codemesh

Intelligent code knowledge graph for AI coding agents

71% cheaper, 72% faster, 82% fewer tool calls vs baseline Grep+Read
on 6 real-world repos (Sonnet 4.6) — from a single codemesh index.

Benchmarks · Quick Start · Integrations · Write-Back · How It Works · API Reference · Full Results

The Problem

AI coding agents waste 40-80% of their tokens on discovery — grepping through files, reading irrelevant code, and rebuilding context they've already seen in previous sessions.

On a 600-file codebase, a typical exploration task involves 10+ file reads before the agent even knows what's relevant.

Before:  Agent → Grep → 50 matches → Read 10 files → Understand → Work
After:   Agent → codemesh_explore → 3 relevant files → codemesh_trace → full path → Work

Codemesh is an MCP server that gives agents a persistent, queryable knowledge graph. The graph gets smarter over time: agents write back what they learn, so the next session starts informed.

Benchmarks

Benchmarked on 6 real-world codebases (Alamofire, Excalidraw, VS Code, Swift Compiler, pydantic-validators, pydantic-basemodel) with Claude Sonnet 4.6, compared alongside baseline and graph-based approaches for context.

Full methodology, per-repo breakdowns, and pairwise comparisons: docs/benchmark-results.md | Early pydantic evals

Cost

Mode	Alamofire	Excalidraw	VS Code	Swift Compiler[^swift]	pydantic-validators	pydantic-basemodel	Avg
Baseline	$0.54	$0.89	$0.21	$0.83	$1.32	$0.78	$0.76
Codemesh MCP	$0.25	$0.21	$0.16	$0.23	$0.33	$0.13	$0.22
Codemesh CLI	$0.67	$0.51	$0.16	$0.83	$1.00	$0.18	$0.56
Codegraph	$0.37	$0.56	$0.57	$0.74	$0.29	$0.19	$0.45

Time

Mode	Alamofire	Excalidraw	VS Code	Swift[^swift]	pydantic-v	pydantic-b	Avg
Baseline	180s	191s	87s	199s	352s	232s	207s
Codemesh MCP	78s	45s	35s	87s	72s	32s	58s
Codemesh CLI	226s	177s	62s	227s	235s	51s	163s
Codegraph	134s	180s	192s	199s	75s	60s	140s

Tool calls (agent turns)

Mode	Alamofire	Excalidraw	VS Code	Swift[^swift]	pydantic-v	pydantic-b	Avg
Baseline	31	48	12	29	84	65	45
Codemesh MCP	9	5	3	14	14	3	8
Codemesh CLI	30	32	12	56	64	9	34
Codegraph	31	35	44	44	20	12	31

Quality (1–10, LLM-as-judge)

Mode	Alamofire[^alamo]	Excalidraw	VS Code	Swift Compiler	pydantic-validators	pydantic-basemodel	Avg
Baseline	n/a	9	8	7	2	9	7.0
Codemesh MCP	9	9	7	8	7	7.8	7.9
Codemesh CLI	9	7	7	9	1	8.4	6.9
Codegraph	8	9	8.7	8	8	9	8.4

Cost savings: Codemesh MCP vs Baseline

Repo	Baseline	Codemesh MCP	Cost saved	Time saved
Alamofire	$0.54	$0.25	−54%	−57% (180s → 78s)
Excalidraw	$0.89	$0.21	−76%	**−7

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

55/100across 5 weighted dimensions

How we score →

0255075100

−45

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @pyalwin/codemesh against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.pyalwin/codemesh safe to use?: io.github.pyalwin/codemesh has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.pyalwin/codemesh?: io.github.pyalwin/codemesh supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.pyalwin/codemesh?: io.github.pyalwin/codemesh is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio and sse and http transport.
Is io.github.pyalwin/codemesh actively maintained?: io.github.pyalwin/codemesh is actively maintained — last commit was 0 days ago.