MCP Florence2 vs Runapi AI MCP
A side-by-side look at the MCP Florence2 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 Florence2 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 Florence2 when
- You need dedicated capabilities in the Multimedia Process domain.
- You prefer a local stdio subprocess transport.
- You want tools like
src, prompt.
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 | 52/100 · Good | 68/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 7 | 56 |
| Directory activity | 0 views 0 installs 0 upvotes | 6 views 0 installs 0 upvotes |
| Tools | 2 | 9 |
| Full listing | View MCP Florence2 | View Runapi AI MCP |
Tools & capabilities
MCP Florence2 tools 2
srcA file path or URL to the image file that needs to be processed.promptA custom prompt for the Florence-2 model.
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 Florence2
{
"mcpServers": {
"mcp-florence2": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/jkawamoto/mcp-florence2",
"mcp-florence2"
]
}
}
}
Runapi AI MCP
{
"mcpServers": {
"runapi-ai-mcp": {
"command": "npx",
"args": [
"-y",
"@runapi.ai/mcp"
]
}
}
}
Frequently asked questions
MCP Florence2 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 Florence2 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 Florence2 has no declared pricing — check the project's own site. 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-florence2 and runapi-ai-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, MCP Florence2 has a quality signal of 52/100 (Good) with 0 views, 0 installs and 7 GitHub stars. Runapi AI MCP has 68/100 (Great) with 6 views, 0 installs and 56 GitHub stars.