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glama

Ratatoskr

No-code MCP server that converts any API spec (OpenAPI, GraphQL, etc.) into MCP tools, enabling natural language interaction with APIs, TOON compression, and AI-powered response pruning with SQL post-processing.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: API_AGENT_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAPI_AGENT_PROVIDERSet your LLM key (Anthropic by default, or override with =openai)
configAPI_AGENT_MODEL_NAMENo (provider default) Model name
🔐 secretAPI_AGENT_API_KEYYes - API key (also accepts OPENAI_API_KEY, ANTHROPIC_API_KEY)
configAPI_AGENT_BASE_URLNo - Custom LLM endpoint (required for openai-compat)
configAPI_AGENT_PORTNo 3000 Server port
configAPI_AGENT_HOST
configAPI_AGENT_TRANSPORT
configAPI_AGENT_PROFILENo - Config profile (local = relax for local dev)
configAPI_AGENT_DEBUG
🔐 secretANTHROPIC_API_KEYexport ="your_key"
🔐 secretOPENAI_API_KEYyour_key uv run api-agent
configOPENAI_BASE_URL
configXDG_CACHE_HOME
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/innago-property-management-ratatoskr-4mv6qh)](https://m8ven.ai/mcp/innago-property-management-ratatoskr-4mv6qh)
commit: cab9d108b489eb97b2038bc673b3333eb0c27918
code hash: 5f754650dc7469fc162ccda049285c5fc42cc053adb0535375fae99cdc81fd37
verified: 6/22/2026, 12:36:42 PM
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