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Turn any OpenAPI spec into an executable agent interface using graphs and semantic search.
13LimitedInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"nk3750-jitapi": {
"command": "uvx",
"args": [
"jitapi"
],
"env": {
"OPENAI_API_KEY": "YOUR_OPENAI_API_KEY"
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| OPENAI_API_KEY | Yes | OpenAI API key for embeddings and workflow planning Secret. |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Turn any OpenAPI spec into an executable agent interface using graphs and semantic search.
FAQ
- What is jitapi?
- Turn any OpenAPI spec into an executable agent interface using graphs and semantic search.
- How do I install jitapi?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is jitapi official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 13 (Limited). The formula is published on the methodology page.
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