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  1. Home
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  3. HyperStore MCP
HyperStore MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 11:02:23 AM

HyperStore MCP

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
ai-directorysearchapp-discoverymcp

Search and browse a curated catalog of more than 6,500 AI applications through MCP tools, resources, and prompts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "deficlow-hyperstore-mcp": {
      "command": "uvx",
      "args": [
        "hyperstore-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”Ž More in Search & Data Extraction

Overview

deficlow/HyperStore-MCP MCP server exposes the HyperStore catalog of more than 6,500 curated AI applications to MCP-compatible clients. It provides keyword and semantic search, application details, category and audience browsing, alternatives, use-case discovery, resources, and guided prompts. The server reads from HyperStore’s public REST API and operates without credentials or write access. Reach for it when an agent needs to find, compare, or filter AI applications by task, category, audience, or pricing.

Use cases

β€’Find AI applications for a specific task
β€’Compare listed AI applications and alternatives
β€’Browse AI tools by category or pricing
β€’Discover applications for a target audience
β€’Retrieve details about a catalog entry

Key features

β€’Keyword and semantic application search
β€’Application details with features, screenshots, and pricing
β€’Category, audience, and use-case browsing
β€’Curated alternative discovery
β€’MCP resources and guided prompts
β€’Read-only access to the HyperStore catalog

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by HyperStore MCP.

Extracted Tool Capabilities
Keyword and semantic application search
Application details with features, screenshots, and pricing
Category, audience, and use-case browsing
Curated alternative discovery
MCP resources and guided prompts
Read-only access to the HyperStore catalog

How HyperStore MCP works

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.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about HyperStore MCP

Install it with uv by running `uvx hyperstore-mcp`. The project also documents pipx, Docker, and a hosted endpoint as alternatives.

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Technical Specs & Signals

CategoryπŸ”ŽSearch & Data Extraction
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 7, 2026
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 20, 2026
49Quality signal: Fair Β· 49/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools24/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 21d ago via OSV.dev Β· hyperstore-mcp (PyPI)

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