PraisonAI vs STEADYWRK Field Service Dispatch
A side-by-side look at the PraisonAI and STEADYWRK Field Service Dispatch MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
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STEADYWRK Field Service DispatchSupport & Service Management · Remote HTTP/SSEField service dispatch: instant quotes, tracked work orders, public evals. steadywrk.app43FairAuth: no auth requiredVerdict: choose PraisonAI for coding agents work as a local process; choose STEADYWRK Field Service Dispatch for support & service management over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose PraisonAI when
- You need dedicated capabilities in the Coding Agents domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
OPENAI_API_KEY.
SChoose STEADYWRK Field Service Dispatch when
- You need dedicated capabilities in the Support & Service Management domain.
- You prefer a remote HTTP/SSE transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | S STEADYWRK Field Service Dispatch | |
|---|---|---|
| Category | Coding Agents | Support & Service Management |
| Quality signal | 40/100 · Fair | 43/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | No auth required | No auth required |
| Pricing | Not declared | Not declared |
| Required env vars | OPENAI_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 9,288 | — |
| Directory activity | 3 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View PraisonAI | View STEADYWRK Field Service Dispatch |
Tools & capabilities
PraisonAI tools
No tool names declared yet. Check the project README from the listing page.
STEADYWRK Field Service Dispatch tools
No tool names declared yet. Check the project README from the listing page.
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.
PraisonAI
{
"mcpServers": {
"praisonai": {
"command": "uvx",
"args": [
"praisonai"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE"
}
}
}
}
STEADYWRK Field Service Dispatch
{
"mcpServers": {
"steadywrk-field-service-dispatch": {
"url": "https://steadywrk.app/developers/mcp"
}
}
}
Frequently asked questions
PraisonAI is categorized under Coding Agents and uses a local stdio subprocess. STEADYWRK Field Service Dispatch belongs to Support & Service Management and uses a remote HTTP/SSE transport. Pick PraisonAI for coding agents work and STEADYWRK Field Service Dispatch for support & service management.
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.
PraisonAI has no declared pricing — check the project's own site. Auth: no auth required. STEADYWRK Field Service Dispatch has no declared pricing — check the project's own site. Auth: no auth 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 praisonai and steadywrk-field-service-dispatch as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, PraisonAI has a quality signal of 40/100 (Fair) with 3 views, 0 installs and 9,288 GitHub stars. STEADYWRK Field Service Dispatch has 43/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.