Skip to main content
Glama

@arizeai/phoenix-mcp

Official
by Arize-ai
promptsLoaderQuery.graphql.ts6.5 kB
/** * @generated SignedSource<<e7131b2efd51501919bf157361632f00>> * @lightSyntaxTransform * @nogrep */ /* tslint:disable */ /* eslint-disable */ // @ts-nocheck import { ConcreteRequest } from 'relay-runtime'; import { FragmentRefs } from "relay-runtime"; export type promptsLoaderQuery$variables = Record<PropertyKey, never>; export type promptsLoaderQuery$data = { readonly " $fragmentSpreads": FragmentRefs<"PromptsTable_prompts">; }; export type promptsLoaderQuery = { response: promptsLoaderQuery$data; variables: promptsLoaderQuery$variables; }; const node: ConcreteRequest = (function(){ var v0 = [ { "kind": "Literal", "name": "first", "value": 100 } ], v1 = { "alias": null, "args": null, "kind": "ScalarField", "name": "id", "storageKey": null }, v2 = { "alias": null, "args": null, "kind": "ScalarField", "name": "name", "storageKey": null }; return { "fragment": { "argumentDefinitions": [], "kind": "Fragment", "metadata": null, "name": "promptsLoaderQuery", "selections": [ { "args": null, "kind": "FragmentSpread", "name": "PromptsTable_prompts" } ], "type": "Query", "abstractKey": null }, "kind": "Request", "operation": { "argumentDefinitions": [], "kind": "Operation", "name": "promptsLoaderQuery", "selections": [ { "alias": null, "args": (v0/*: any*/), "concreteType": "PromptConnection", "kind": "LinkedField", "name": "prompts", "plural": false, "selections": [ { "alias": null, "args": null, "concreteType": "PromptEdge", "kind": "LinkedField", "name": "edges", "plural": true, "selections": [ { "alias": "prompt", "args": null, "concreteType": "Prompt", "kind": "LinkedField", "name": "node", "plural": false, "selections": [ (v1/*: any*/), (v2/*: any*/), { "alias": null, "args": null, "kind": "ScalarField", "name": "description", "storageKey": null }, { "alias": null, "args": null, "concreteType": "PromptVersion", "kind": "LinkedField", "name": "version", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "createdAt", "storageKey": null }, (v1/*: any*/) ], "storageKey": null }, { "alias": null, "args": null, "concreteType": "PromptLabel", "kind": "LinkedField", "name": "labels", "plural": true, "selections": [ (v1/*: any*/), (v2/*: any*/), { "alias": null, "args": null, "kind": "ScalarField", "name": "color", "storageKey": null } ], "storageKey": null } ], "storageKey": null }, { "alias": null, "args": null, "kind": "ScalarField", "name": "cursor", "storageKey": null }, { "alias": null, "args": null, "concreteType": "Prompt", "kind": "LinkedField", "name": "node", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "__typename", "storageKey": null }, (v1/*: any*/) ], "storageKey": null } ], "storageKey": null }, { "alias": null, "args": null, "concreteType": "PageInfo", "kind": "LinkedField", "name": "pageInfo", "plural": false, "selections": [ { "alias": null, "args": null, "kind": "ScalarField", "name": "endCursor", "storageKey": null }, { "alias": null, "args": null, "kind": "ScalarField", "name": "hasNextPage", "storageKey": null } ], "storageKey": null } ], "storageKey": "prompts(first:100)" }, { "alias": null, "args": (v0/*: any*/), "filters": [ "filter", "labelIds" ], "handle": "connection", "key": "PromptsTable_prompts", "kind": "LinkedHandle", "name": "prompts" } ] }, "params": { "cacheID": "3bf444cc04be064fc037755409e3288d", "id": null, "metadata": {}, "name": "promptsLoaderQuery", "operationKind": "query", "text": "query promptsLoaderQuery {\n ...PromptsTable_prompts\n}\n\nfragment PromptsTable_prompts on Query {\n prompts(first: 100) {\n edges {\n prompt: node {\n id\n name\n description\n version {\n createdAt\n id\n }\n labels {\n id\n name\n color\n }\n }\n cursor\n node {\n __typename\n id\n }\n }\n pageInfo {\n endCursor\n hasNextPage\n }\n }\n}\n" } }; })(); (node as any).hash = "ed4295f193bd2a6d2402a82966d45a7f"; export default node;

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Arize-ai/phoenix'

If you have feedback or need assistance with the MCP directory API, please join our Discord server