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  3. Sage
Sage logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 5:16:17 PM

Sage

User RatingsBe the first to rate and review this MCP server!
View Repository10 GitHub StarsTotal stargazers on GitHub for the source repository (10 stars).Visit Website
developer-toolscode-executioncommand-linelocal-first

Wraps local shell commands, compresses terminal output, and records command history and context-saving metrics.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "psycgod-sage": {
      "command": "npx",
      "args": [
        "-y",
        "psycgod-sage"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesšŸ–„ļø More in Command Line

Overview

PsYcGoD/sage MCP server wraps local shell commands for AI coding workflows, retaining full output locally while returning compressed summaries to agents. Its Python core is available through PyPI, with an npm launcher, and supports command history, failure explanations, context reports, and optional MCP configuration. Reach for it when terminal logs consume too much agent context or when command output and proof metrics should remain on the local machine.

Use cases

•Wrap test and build commands before sending results to an AI coding agent
•Keep complete terminal logs local while returning concise summaries
•Review recent command history and failed-command context
•Measure token savings from compressed terminal output

Key features

•Local shell command wrapper
•Compressed terminal summaries
•Local command history and retry context
•Context statistics and compression reports
•Failure explanations and fix suggestions
•Optional manual MCP configuration

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Sage.

Extracted Tool Capabilities
Local shell command wrapper
Compressed terminal summaries
Local command history and retry context
Context statistics and compression reports
Failure explanations and fix suggestions
Optional manual MCP configuration

How Sage works

What PsYcGoD/sage MCP server does

PsYcGoD/sage MCP server provides a local-first command wrapper for coding agents and ordinary terminal workflows. Commands run through sage run -- <command>; SAGE stores the complete terminal output locally and gives the agent a shorter result intended to preserve useful errors, summaries, and status information without placing every log line in the conversation.

The package also keeps local command history, retry context, and compression proof data. Its command-line interface includes shortcuts such as sage pytest, sage npm test, and sage git status, which are treated as wrapped commands. Additional commands expose context statistics, reports, recent history, failed-command explanations, suggested fixes, and an optional automatic fix attempt.

How it works

Install the Python package from PyPI or the npm package that launches the Python implementation. Installation does not activate the workflow automatically. Run sage install once to connect the machine, repair or add supported agent instructions, and verify activation. Existing agent sessions may need to be restarted before they load those instructions.

After activation, an agent can route noisy shell work through SAGE. The raw result stays on the user's machine while the returned output is compressed for agent consumption. The local database records command history and context-saving measurements. Local-only mode requires no login and sends nothing away from the machine.

Connected proof mode is optional. When enabled, it sends aggregate counters and proof metrics rather than raw logs. Debug telemetry is also optional and uses redacted diagnostic summaries when explicitly enabled. SAGE is not automatically enabled as MCP during package installation; MCP configuration is a separate, manual option.

Setup and configuration

The documented Python setup is:

Terminal
pip install psycgod-sage
sage install
sage run -- python -m pytest

The npm-based setup is:

Terminal
npm install -g psycgod-sage
npx -y psycgod-sage install
npx -y psycgod-sage run -- npm test

Use sage doctor --activation to check activation. Host integrations can specify a working directory with sage run --cwd /project -- <command>. The documented SAGE_WORKSPACE_CWD setting can also address hosts that start shells in the wrong folder, though the provided material does not define additional configuration variables.

Tools and capabilities

PsYcGoD/sage MCP server supports these documented CLI operations:

  • Wrap arbitrary shell commands with sage run --.
  • Run commands in an explicit workspace using --cwd.
  • View token-saving statistics with sage context stats.
  • Generate a full compression report with sage context report.
  • Inspect recent commands with sage history --limit 10.
  • Explain or suggest fixes for the latest failed command.
  • Attempt an automatic fix with sage fix --apply.
  • Install optional ML V2 dependencies with sage ml setup.
  • Configure MCP manually with sage mcp install.
  • Start the local dashboard with sage dashboard start.

The README identifies compatibility with Claude Code, Codex, Cursor, Windsurf, OpenCode, Cline, custom agents, CI scripts, and normal terminal use. The supplied material does not describe a separate list of MCP tool names.

Limitations and notes

PsYcGoD/sage MCP server cannot enable shell tools that a host application has disabled. MCP may disconnect in some stdio agent sessions, so the project recommends using normal sage run -- <command> by default and enabling MCP manually only when needed. Package installation is intentionally passive, meaning activation always requires a separate sage install step.

Raw prompts, source code, credentials, raw command output, and project files are intended to remain local unless a user deliberately enables a feature that sends data. Connected proof mode requires machine authentication and transmits aggregate proof metrics. The project is licensed under MIT.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
10
Stargazers on the source repository.
npm downloads
402
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
5 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Sage

Install `psycgod-sage` with pip or npm, then run `sage install` once. MCP configuration is optional and manual through `sage mcp install`.

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Technical Specs & Signals

CategoryšŸ–„ļøCommand Line
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsCursor, Windsurf, Cline / VS Code
Last updatedSep 2, 2026
9/10 checks healthy over the last 32d
Views5
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars10
GitHub Star CountTotal stargazers on GitHub representing community popularity (10 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 4, 2026
npm downloads402/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
56Quality signal: Good Ā· 56/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity7/15
Community engagement1/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 15d ago via OSV.dev Ā· psycgod-sage (npm)

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