---

Quick Start

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "rotifer": {
      "command": "npx",
      "args": ["@rotifer/mcp-server"]
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "rotifer": {
      "command": "npx",
      "args": ["@rotifer/mcp-server"]
    }
  }
}

Windsurf / Other MCP Clients

Use the same npx command — any client that supports MCP stdio transport will work.

What Can It Do?

Create and run an agent in one conversation

You: "Build me an agent for code security scanning"
AI:  → create_agent({ agent_name: "sec-bot", gene_ids: ["security-scanner", "genesis-code-format"],
                       composition: "Seq" })
     Agent 'sec-bot' created with 2-gene Seq genome.

You: "Run it on my project"
AI:  → agent_run({ agent_name: "sec-bot", input: "{\"path\":\"./src\"}" })
     Pipeline complete — 3 findings, 0 critical.

Search, compare, and compose genes

You: "Find the best gene for web search"
AI:  → search_genes({ query: "web search" })
     Found 8 genes. Top match: genesis-web-search (F(g) = 0.87, Native)

You: "Compare it against the lite version"
AI:  → compare_genes({ gene_ids: ["...", "..."] })
     Side-by-side: success rate, latency, fitness breakdown

Full gene lifecycle from your IDE

You: "Wrap my function as a gene"
AI:  → wrap_gene({ gene_name: "my-search", domain: "search.web", fidelity: "Wrapped" })
     → compile_gene({ gene_name: "my-search" })
     → test_gene({ gene_name: "my-search", compliance: true })
     → publish_gene({ gene_name: "my-search", changelog: "Initial release" })

Tools (29)

Discovery & Analytics

Tool	Description	Key Parameters
search_genes	Search the Gene ecosystem by name, domain, or description	query, domain, fidelity, sort (relevance/newest/popular/fitness), page, per_page
get_gene_detail	Get detailed info about a Gene (phenotype, fitness, metadata)	gene_id, content_hash (either identifies the gene)
get_arena_rankings	Arena rankings for a domain, sorted by F(g) fitness	domain, page, per_page
compare_genes	Side-by-side fitness comparison of 2–5 Genes	gene_ids (array)
get_gene_stats	Download statistics (total, 7d, 30d, 90d)	gene_id
get_leaderboard	Creator reputation leaderboard	limit
get_developer_profile	Creator public profile and reputation	username
get_gene_reputation	Detailed reputation breakdown (Arena, Usage, Stability)	gene_id
list_gene_versions	Version history chain with changelogs	owner, gene_name
suggest_domain	Suggest matching domains from the registry	description

Local Workspace

Tool	Description	Key Parameters
list_local_genes	Scan local workspace for installed Genes	project_root, domain, fidelity
list_local_agents	List Agents in the local workspace	project_root, state

Gene Lifecycle

Tool	Description	Key Parameters
init_gene	Initialize a new Gene project with starter files	gene_name, fidelity, domain, no_genesis
scan_genes	Scan for candidate functions or SKILL.md files	path, skills, skills_path
wrap_gene	Wrap a function/skill as a Gene	gene_name, domain, fidelity, from_skill, from_clawhub
test_gene	Test a Gene (schema validation + sandbox)	gene_name, verbose, compliance
compile_gene	Compile a Gene to WASM IR	gene_name, check, wasm_path, lang
run_gene	Execute a local Gene	gene_name, input, verbose, no_sandbox, trust_unsigned
publish_gene	Publish to Rotifer Cloud	gene_name, all, description, changelog, skip_arena, skip_security
install_gene	Install a Gene from Cloud Registry	gene_id, project_root, force
vg_scan	V(g) security scan — static analysis for Gene/Skill code safety	path, gene_id, all, project_root
arena_submit	Submit to Arena with 5D fitness scores	gene_id, fitness_value, safety_score, success_rate, latency_score, resource_efficiency

Agent Composition

Tool	Description	Key Parameters
create_agent	Create an Agent composing multiple Genes	agent_name, gene_ids, composition (Seq/Par/Cond/Try/TryPool), domain, top, strategy, par_merge
agent_run	Run a local Agent by name	agent_name, input, verbose, no_sandbox

Authentication & Analytics

Tool	Description	Key Parameters
auth_status	Check login status	—
login	OAuth login (GitHub/GitLab)	provider, endpoint
logout	Clear credentials	—
get_mcp_stats	MCP call analytics	days
get_my_reputation	Current user's reputation	—

Resources (7)

MCP Resources let AI clients reference Rotifer data as context:

URI Template	Description
rotifer://genes/{gene_id}/stats	Gene download statistics
rotifer://genes/{gene_id}	Gene detail + phenotype
rotifer://developers/{username}	Creator profile + reputation
rotifer://leaderboard	Top creators by reputation score
rotifer://local/genes	Local Gene inventory
rotifer://local/agents	Local Agent registry
rotifer://version	MCP Server version and update availability

Prompts (4)

MCP Prompts give AI clients guided workflows for common tasks:

Prompt	Description	Key Arguments
rotifer-hello	Interactive agent creation — pick a template and run immediately	template, input
rotifer-guide	Understand Rotifer Protocol — genes, agents, Arena, fidelity model	—
rotifer-architect	Design an Agent — task-driven gene search + composition planning	task
rotifer-challenge	Arena evaluation — submit a gene, compare with competitors	gene

Try asking your AI: "Use the rotifer-hello prompt to build me an agent" or "Use rotifer-architect to design an agent for document Q&A".

---

Architecture

┌─────────────────────────────────────────────────┐
│  AI IDE (Cursor / Claude / Windsurf)            │
│                                                 │
│  "Find genes for code formatting"               │
│       │                                         │
│       ▼                                         │
│  ┌─────────────────────┐                        │
│  │  MCP Client         │                        │
│  │  (stdio transport)  │                        │
│  └────────┬────────────┘                        │
└───────────┼─────────────────────────────────────┘
            │ MCP Protocol
            ▼
┌─────────────────────────────────────────────────┐
│  @rotifer/mcp-server                            │
│                                                 │
│  29 Tools  7 Resources  4 Prompts  Local Scanner│
│  ┌──────────┐  ┌───────────┐   ┌────────────┐  │
│  │ discover │  │rotifer:// │   │ ./genes/    │  │
│  │ lifecycle│  │genes/stats│   │ phenotype   │  │
│  │ agents   │  │developers │   │ agents      │  │
│  │ auth     │  │leaderboard│   └────────────┘  │
│  └────┬─────┘  └─────┬─────┘         │         │
└───────┼──────────────┼────────────────┼─────────┘
        │              │                │
        ▼              ▼                ▼
┌─────────────────────────────────────────────────┐
│  Rotifer Cloud API          Local File System   │
│  (Supabase)                 (genes/, .rotifer/) │
└─────────────────────────────────────────────────┘

Configuration

Zero-config by default — connects to the public Rotifer Cloud API.

To use a custom endpoint, create ~/.rotifer/cloud.json:

{
  "endpoint": "https://your-supabase-instance.supabase.co",
  "anonKey": "your-anon-key"
}

Or set environment variables:

ROTIFER_CLOUD_ENDPOINT=https://your-instance.supabase.co
ROTIFER_CLOUD_ANON_KEY=your-anon-key

Requirements

• Node.js >= 20

Pair with the CLI

This MCP server works best alongside the Rotifer CLI. The CLI provides the local runtime (WASM sandbox, Arena engine, IR compiler) while the MCP server exposes it all to your AI assistant:

npm install -g @rotifer/playground
rotifer init my-agent && cd my-agent
rotifer hello --template quality-advisor   # your first Agent workspace in seconds

Links

• Rotifer Protocol — Main site
• MCP Setup Guide — Step-by-step setup
• Gene Marketplace — Browse and discover Genes
• CLI Playground — Build and test Genes locally
• Protocol Specification — Formal spec

License

Apache-2.0