MCP Arr vs Runapi AI MCP
A side-by-side look at the MCP Arr and Runapi AI MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose MCP Arr for multimedia process work as a local process; choose Runapi AI MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose MCP Arr when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
arr_status, search, fetch.
Choose Runapi AI MCP when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You want tools like
list_models, get_model_info, list_actions.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Multimedia Process | Multimedia Process |
| Quality signal | 69/100 · Great | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | API key required |
| Pricing | Free | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 232 | 56 |
| Directory activity | 3 views 0 installs 0 upvotes | 5 views 0 installs 0 upvotes |
| Tools | 11 | 9 |
| Full listing | View MCP Arr | View Runapi AI MCP |
Tools & capabilities
MCP Arr tools 11
arr_statusGet status of all supported *arr services. No local *arr services are currently configured, but TRaSH reference tools remain available.searchSearch across configured *arr libraries plus TRaSH Guides reference profiles. This is the primary discovery tool for remote MCP clients such as ChatGPT.fetchFetch a specific item returned by search. Accepts an opaque item id from the search tool.arr_search_allSearch across all configured *arr services for any mediatrash_list_profilesList available TRaSH Guides quality profiles for Radarr or Sonarr. Shows recommended profiles for different use cases (1080p, 4K, Remux, etc.)trash_get_profileGet a specific TRaSH Guides quality profile with all custom format scores, quality settings, and implementation detailstrash_list_custom_formatsList available TRaSH Guides custom formats. Can filter by category: hdr, audio, resolution, source, streaming, anime, unwanted, release, languagetrash_get_namingGet TRaSH Guides recommended naming conventions for your media server (Plex, Emby, Jellyfin, or standard)trash_get_quality_sizesGet TRaSH Guides recommended min/max/preferred sizes for each quality leveltrash_compare_profileCompare your quality profile against TRaSH Guides recommendations. Shows missing custom formats, scoring differences, and quality settings. Requires the corresponding *arr service to be configured.trash_compare_namingCompare your naming configuration against TRaSH Guides recommendations. Requires the corresponding *arr service to be configured.
Runapi AI MCP tools 9
list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.list_actionsList RunAPI endpoint names grouped by output modality.check_pricingReturn current runtime pricing for a RunAPI model/action pair.search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.check_balanceReturn the authenticated RunAPI account balance and spending metrics.create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.get_taskFetch the current status and latest payload for an existing RunAPI task.loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
MCP Arr
{
"mcpServers": {
"mcp-arr": {
"command": "npx",
"args": [
"-y",
"mcp-arr-server"
]
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Frequently asked questions
MCP Arr is categorized under Multimedia Process and uses a local stdio subprocess. Runapi AI MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick MCP Arr for multimedia process work and Runapi AI MCP for multimedia process.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
MCP Arr is listed as free. Auth: api key required. Runapi AI MCP is listed as free. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add mcp-arr and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Arr has a quality signal of 69/100 (Great) with 3 views, 0 installs and 232 GitHub stars. Runapi AI MCP has 68/100 (Great) with 5 views, 0 installs and 56 GitHub stars.