About StackMap
StackMap MCP lets users query a curated catalog of open-source AI and agent repositories and their typed connections. Its human-reviewed notes explain why tools fit and when not to use them.
Key features
- 01Search a curated repository catalog
- 02Retrieve repository details and caveats
- 03Compare alternatives
- 04Explore related tools
- 05Generate starter stack suggestions
Use cases
- 01Find tools for a specific AI task
- 02Compare replacements for a repository
- 03Identify additions to an existing stack
- 04Plan a starter RAG stack for PDFs
MCP support
The MCP server exposes catalog search, repository lookup, alternatives, stack continuation, and stack-building tools to MCP clients. It reads the site's static JSON API.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
5Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | max results (default 8) |
| query | string | Yes | keywords, e.g. "local voice transcription" or "agent memory" |
Details
From the project README@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
claude mcp add stackmap -- npx -y @ship-with-ai/stackmap-mcp
Cursor — .cursor/mcp.json:
{ "mcpServers": { "stackmap": { "command": "npx", "args": ["-y", "stackmap-mcp"] } } }
Codex CLI — ~/.codex/config.toml:
[mcp_servers.stackmap]
command = "npx"
args = ["-y", "stackmap-mcp"]
Tools
| Tool | What 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.