general MCP Server
An open-source, model-agnostic AI coding agent CLI — works with Google Gemini, Anthropic Claude, and any OpenAI-compatible provider
Discovered via github-topic:mcp and last synced 3mo ago.
1. Install the package
npx -y @modelcontextprotocol/server-filesystem /tmp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"-zjshen-opencli": {
"command": "npx",
"args": [
"@zjshen/opencli"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Read file contents with optional line range
—
Exact string find-and-replace in a file
Create or overwrite a file
Description
Description
Path to a Markdown file that overrides the default system instruction (for prompt hill-climbing)
Run shell commands (blocks destructive patterns)
—
Sandbox mode override: `auto` \
Description
No sandbox
Claude Code
Default
`0.7`
Max chars before bash/grep/glob/web_fetch output is middle-truncated (default: 20 000)
`8192`
Behaviour
`50`
`gemini-3.1-flash-lite-preview`
Gemini API key
Anthropic API key
Model override (beats `--model` and config)
Real isolation: no external network, writes only to CWD + tmp, reads restricted to CWD + system binaries.
Find files by pattern (e.g. `**/*.ts`)
Regex search across file contents
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Implement GCP Organization Policy constraints to enforce security guardrails across the entire resource hierarchy, restricting risky configurations and ensuring compliance at organization, folder, and project levels.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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