# deficlow/HyperStore-MCP [Health: Active]

**Category:** 🔎 Search & Data Extraction  
**Repository:** https://github.com/deficlow/HyperStore-MCP  
**GitHub Stars:** 1  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/deficlow-hyperstore-mcp

## Description
Search 6,500+ curated AI applications from the HyperStore directory. 8 tools (keyword + semantic search, full details, browsing), 3 resources, 3 prompts. Install via uvx hyperstore-mcp or use the hosted endpoint at https://mcp.store.hypergpt.ai/mcp.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `uvx` (confidence: high):

```json
"mcpServers": {
  "hyperstore-mcp": {
    "command": "uvx",
    "args": ["hyperstore-mcp"]
  }
}
```

## Documentation

## What deficlow/HyperStore-MCP MCP server does

deficlow/HyperStore-MCP MCP server makes the HyperStore AI application directory available to MCP clients. The catalog contains more than 6,500 curated applications. Agents can use it to find tools for a stated task, inspect an individual application, compare alternatives, or browse the directory by category, audience, and use case.

The server is read-only. It does not require credentials, does not modify catalog data, and does not handle personal information according to the project documentation. It is suitable for assistants that need application discovery rather than execution or direct integration with the listed applications.

## How it works

An MCP client sends tool, resource, or prompt requests to the local or hosted server. The server acts as an asynchronous wrapper around HyperStore’s public REST API and returns catalog data to the client over MCP. The request path is: LLM client to MCP server to the HyperStore API.

The hosted Streamable HTTP endpoint is available at `https://mcp.store.hypergpt.ai/mcp`. For local use, the package runs in stdio mode by default. Self-hosted deployments can also use HTTP or SSE transports. Catalog updates are obtained from the same data source used by the HyperStore website.

## Setup and configuration

The simplest local installation uses `uvx`:

```bash
uvx hyperstore-mcp
```

The package can also be installed with `pipx`, or run through the published Docker image `ghcr.io/deficlow/hyperstore-mcp`. The hosted endpoint requires no local installation and is documented as requiring no authentication.

For self-hosted HTTP or SSE deployments, `MCP_HOST`, `MCP_PORT`, and `LOG_LEVEL` can be set. Their documented defaults are `0.0.0.0`, `8080`, and `INFO`, respectively. The command-line interface accepts `--transport http` or `--transport sse` when a network transport is needed.

The project includes connection examples for Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Zed, Gemini CLI, ChatGPT connectors, the OpenAI Responses API, and the Anthropic Messages API. Client configuration differs depending on whether the local stdio process or hosted URL is used.

## Tools and capabilities

deficlow/HyperStore-MCP MCP server exposes 13 tools:

- Search by keywords or embeddings with `search_apps` and `ai_search`.
- Retrieve full application details with `get_app`.
- List, browse, and filter applications with `list_apps`, `browse_apps`, and `category_apps`.
- Inspect categories, audiences, and use-case taxonomies.
- Find applications for an audience or use case.
- Retrieve curated alternatives and a homepage overview.

It also provides three resources: an individual application resource, a category resource, and a full catalog index. Three prompts support guided task discovery, application comparison, and category exploration.

## Limitations and notes

The server only exposes catalog information; it does not run, install, or invoke the applications found in HyperStore. Its operations are read-only and depend on the availability and contents of the public HyperStore API. Local HTTP or SSE hosting requires the operator to configure network binding and port settings as needed.

The project is released under the MIT license. The documentation does not describe API-key authentication, OAuth, paid access, or write operations for deficlow/HyperStore-MCP MCP server.

_Full upstream README: https://allmcps.com/mcp/deficlow-hyperstore-mcp/readme_