MCP server: One MCP server.

StackMap

@ship-with-aiRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

Search 344 human-reviewed AI/agent repos and the 817 typed connections between them.

Agent & MCP directoriesv0.2.2MITJavaScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npm@ship-with-ai/stackmap-mcpv0.2.2

Run

npx -y @ship-with-ai/stackmap-mcp

MCP client config

{
  "mcpServers": {
    "stackmap": {
      "command": "npx",
      "args": [
        "-y",
        "@ship-with-ai/stackmap-mcp"
      ]
    }
  }
}
README1 min read

@ship-with-ai/stackmap-mcp

Query StackMap — the curated map of the open-source AI stack — from any MCP client. 344 repos across 21 topics, 817 connections, every one typed (complements / alternative / built_with) and human-reviewed, with the why written down — including when NOT to use a tool.

No auth. No state. No telemetry. Reads the site's static JSON API; the catalog is date-versioned (v2026.07.24 style) so you always know how fresh the map is.

Install

Claude Code

bash
claude mcp add stackmap -- npx -y @ship-with-ai/stackmap-mcp

Cursor — .cursor/mcp.json:

json
{ "mcpServers": { "stackmap": { "command": "npx", "args": ["-y", "stackmap-mcp"] } } }

Codex CLI — ~/.codex/config.toml:

toml
[mcp_servers.stackmap]
command = "npx"
args = ["-y", "stackmap-mcp"]

Tools

ToolWhat it answers
search_catalog"What's on the map for local voice transcription?"
get_repo"Tell me about langgraph — including when NOT to use it."
get_alternatives"What replaces crewai, and when do I pick which?"
continue_stack"I use langgraph + chroma — what pairs well next?"
build_stack"Build me a starter stack for a local-first RAG pipeline over PDFs."

Every answer carries the curator's written why — the sentence a colleague would tell you over your shoulder, not a link dump.

How the data is made

Nothing on the map auto-publishes: an LLM proposes, a human approves, sharpens, or refuses — and both the refusal ledger and the dismissal ledger are public. Suggest a repo at /suggest; dispute any edge from its repo page.

MIT · by ShipWithAI

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