INDIVIDUAL MCP TOOL

get_project

Everything Archestack has on one project: score and the parts it is made of, place in its category, GitHub facts (stars, license, last commit and release, language, Docker, arm64, GPU, RAM, external services, port), project health, demo and docs links, and the review (summary, audience, strengths, weaknesses).

archestack.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.archestack.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_project and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

archestack.com

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.archestack]
url = "https://mcp.archestack.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "archestack": {
      "type": "http",
      "url": "https://mcp.archestack.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: archestack
Remote MCP URL: https://mcp.archestack.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "archestack": {
      "url": "https://mcp.archestack.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "archestack": {
      "type": "http",
      "url": "https://mcp.archestack.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "archestack",
  "transport": "streamable-http",
  "url": "https://mcp.archestack.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

search_projects — Find open-source AI projects across both Archestack lists by words and filters.
deploy_facts — The facts an agent needs before installing or deploying one project: Docker files, arm64 build, GPU need, minimum RAM, outside services it needs, web port, what its README says it needs, docs and demo links, and upkeep (latest release, releases in 12 months, security advisories, its package).
top_in_category — The ranking of one category, best first, with score and tagline.
compare — Put 2 to 4 projects side by side: score and its parts, place, stars, license, last commit, Docker, arm64, GPU, RAM, external services, strengths and weaknesses.
alternatives_to — Open-source projects that replace a paid or closed product (e.