Orca MCP Server
Describe system behavior in plain language and get parseable, verifiable finite state machines before you implement control logic in code.
Overview
Orca MCP Server is a MCP server for the Build phase that turns natural language into verified finite state machines so topology bugs surface before runtime code ships.
What is this MCP server?
- Natural-language generation of finite state machines with optional Anthropic/OpenAI/Grok/Ollama providers
- verify_machine and parse_machine catch topology bugs without requiring an LLM API key
- compile_machine turns verified machines into runnable artifacts from the Orca lang stack
- stdio npm package @orcalang/orca-mcp-server v0.1.30 via npx
- Multi-machine flows via generate_multi_machine and refine_machine for iterative specs
- Package version 0.1.30 on npm as @orcalang/orca-mcp-server
- stdio transport with optional LLM tools gated by ANTHROPIC_API_KEY
- ORCA_PROVIDER supports anthropic, openai, grok, and ollama per server metadata
Community signal: 14 GitHub stars.
What problem does it solve?
Solo builders often encode complex flows in ad-hoc conditionals and only discover dead states, missing transitions, or contradictory guards after integration tests fail.
Who is it for?
Indie developers modeling agent tools, payment flows, or multi-step backends who want LLM-assisted drafting plus non-LLM verification.
Skip if: Teams that only need simple CRUD without explicit state models, or anyone unwilling to learn FSM-oriented vocabulary in prompts.
What do I get? / Deliverables
After you register the server, your agent can parse, verify, and compile FSMs from descriptions so control-flow mistakes are caught while the design is still cheap to change.
- Parsed and verified finite state machine definitions from natural-language specs
- Compiled machine artifacts ready to align with Orca-lang implementations
- Documented topology issues caught by verify_machine before deployment
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Journey fit
State-machine design and topology verification belong in the build phase when you are modeling workflows, protocols, or agent behaviors. Backend and orchestration logic is where FSMs usually ship; Orca targets that modeling layer rather than marketing or ops dashboards.
How it compares
Formal state-machine MCP tooling, not a generic code-review or test-runner skill.
Common Questions / FAQ
Who is Orca MCP Server for?
It is for builders and agent users who design stateful systems and want verification tooling wired directly into Claude Code, Cursor, or other MCP clients.
When should I use Orca MCP Server?
Use it when you are defining or refactoring finite state behavior and need parse, verify, or compile steps before writing or merging implementation code.
How do I add Orca MCP Server to my agent?
Add the stdio server with npx @orcalang/orca-mcp-server, set ANTHROPIC_API_KEY only if you use LLM-backed generate or refine tools, and point your MCP config at the published package.