Spark Apps Catalogue

Read-only catalogue of the Spark apps: what each one does, its stack, and where it runs.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
65%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~442Tokens (tool definitions)
~583 BTypical response size
Minimal attention impact (0.35% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "spark-apps": {
      "url": "https://spark-apps.co/api/mcp/mcp"
    }
  }
}

Remote endpoints

https://spark-apps.co/api/mcp/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢list_apps

List every app in the Spark catalogue: id, name, tagline, description, tags, homepage and store or repository links. Read-only. Small enough to read in full, so prefer this over search when the question is about the range of apps rather than a specific one.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_app(id)

Get one app from the Spark catalogue by its id, with its full description, tags and links. Read-only. If the id is unknown the result lists every valid id, so there is no need to guess twice.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "minLength": 1,
      "description": "The app's catalogue id, e.g. sparkstack or sparkmobile. Lowercase, no spaces."
    }
  },
  "required": [
    "id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_apps(query, tag)

Search the Spark catalogue by keyword across app names, taglines, descriptions and tags, optionally narrowed to a single tag. Read-only. Pass an empty query with a tag to list everything carrying that tag.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 100,
      "description": "Words to look for. Matched as a substring; pass an empty string to match all."
    },
    "tag": {
      "description": "Restrict to one tag, e.g. Next.js or Mobile. Use list_tags to see valid tags.",
      "type": "string",
      "maxLength": 50
    }
  },
  "required": [
    "query"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢list_tags

List every tag used across the Spark catalogue with how many apps carry it, most used first. Read-only. Use this before search_apps to pick a tag that actually exists.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools