AI & Machine Learning
archestack.com
An MCP server for discovering, evaluating, comparing, and retrieving deployment facts about open-source AI projects from Archestack.
ENDPOINT 1
https://mcp.archestack.com/mcp
MCP server metadata
- Name
- archestack
- Version
- 0.2.0
Archestack ranks open-source AI projects in two lists: best-of-ai (self-hosted AI apps and infrastructure: chat UIs, model servers, RAG, agents, vector databases) and best-of-vibe-coding (starters, coding agents, MCP servers, skills and plugins for building with AI). Every project has a score from 0 to 100, a place in its category, facts from GitHub (stars, license, last commit, Docker, arm64, GPU need) and a short review. Use search_projects to find projects, top_in_category for a ranking, get_project for one project, deploy_facts for what it takes to run one, compare to put 2 to 4 side by side, and alternatives_to for open-source picks that replace a paid product. Every project carries source_url, its page on archestack.com, and checked_at, the date its GitHub facts were checked: link the first and give the second when you cite a project.
Known tools 6
search_projectsFind open-source AI projects across both Archestack lists by words and filters.
Inferred read-onlyget_projectEverything 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).
Inferred read-onlydeploy_factsThe 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).
Inferred read-onlycomparePut 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.
Inferred read-onlyCONNECT 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.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for archestack.com was fetched 2026-10-23T05:20:31.849Z.
archestack.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.