Orca MCP Server
Quality Score
85
/100
Go from natural language to verified finite state machines — topology bugs caught before code runs.
§01 Install
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"orca-mcp-server": {
"command": "npx",
"args": [
"-y",
"@orcalang/orca-mcp-server"
],
"env": {
"ANTHROPIC_API_KEY": "<your-anthropic_api_key>",
"ORCA_PROVIDER": "anthropic",
"ORCA_MODEL": "<orca_model>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"orca-mcp-server": {
"command": "npx",
"args": [
"-y",
"@orcalang/orca-mcp-server"
],
"env": {
"ANTHROPIC_API_KEY": "<your-anthropic_api_key>",
"ORCA_PROVIDER": "anthropic",
"ORCA_MODEL": "<orca_model>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y @orcalang/orca-mcp-server§02 Environment variables
ANTHROPIC_API_KEYsecret
Anthropic API key for LLM-powered tools (generate_machine, generate_multi_machine, refine_machine, generate_actions with use_llm). Not required for parse_machine, verify_machine, compile_machine, or server_status.
ORCA_PROVIDERLLM provider to use: anthropic (default), openai, grok, or ollama.
ORCA_MODELModel name to use for LLM tools. Defaults to claude-sonnet-4-6 for Anthropic.
§03 MCP Quality Score · methodology
freshness
25
completeness
15
installability
25
documentation
15
stability
5
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