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74 lines (74 loc) · 2.28 KB
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{
"$schema": "../schemas/server-definition.schema.json",
"id": "com.vectara-mcp-uvx",
"name": "Vectara (uvx)",
"alias": "vectara",
"description": "Connect to Vectara's Trusted RAG platform for retrieval-augmented generation and semantic search. Run grounded RAG queries, search corpora, correct hallucinations, and evaluate factual consistency.",
"logo": "https://avatars.githubusercontent.com/u/108304503?v=4",
"schema_version": "2.1",
"categories": [
"ai-ml",
"search"
],
"tags": [
"vectara",
"rag",
"semantic-search",
"retrieval",
"ai",
"grounded-generation"
],
"transport": {
"type": "stdio",
"command": "uvx",
"args": [
"vectara-mcp",
"--stdio"
],
"env": {
"VECTARA_API_KEY": "${input:VECTARA_API_KEY}"
},
"metadata": {
"inputs": [
{
"id": "VECTARA_API_KEY",
"label": "Vectara API Key",
"description": "Your Vectara API key, used by all tools to authenticate against the Vectara platform. Read-only query keys start with 'zqt_'; keys with both query and index access start with 'zwt_'.",
"type": "text",
"required": true,
"secret": true,
"placeholder": "zwt_****************",
"obtain": {
"url": "https://console.vectara.com/console/apiKeys",
"instructions": "1. Sign in to the Vectara Console\n2. Open the API Keys section\n3. Create a new API key (or a Personal API key)\n4. Copy the key value",
"button_label": "Create API Key"
}
}
]
}
},
"auth": {
"type": "api_key",
"instructions": "Create a Vectara API key in the Vectara Console at https://console.vectara.com/console/apiKeys and provide it as VECTARA_API_KEY."
},
"contributor": {
"name": "Vectara",
"github": "vectara",
"url": "https://www.vectara.com"
},
"links": {
"repository": "https://github.com/vectara/vectara-mcp",
"homepage": "https://www.vectara.com",
"documentation": "https://github.com/vectara/vectara-mcp#readme"
},
"platforms": [
"all"
],
"capabilities": {
"tools": true,
"resources": false,
"prompts": false,
"read_only_mode": false
},
"changelog_url": "https://github.com/vectara/vectara-mcp/blob/main/CHANGELOG.md"
}