From a30f5fb5c4905b8b5835c43da3ae749ba1938d22 Mon Sep 17 00:00:00 2001
From: Will Kenney <49669262+willtkenney@users.noreply.github.com>
Date: Mon, 6 Jul 2026 20:26:37 -0500
Subject: [PATCH] Remove turbopuffer MCP server entry

---
 partners/servers/turbopuffer-mcp-server.json | 53 --------------------
 1 file changed, 53 deletions(-)
 delete mode 100644 partners/servers/turbopuffer-mcp-server.json

diff --git a/partners/servers/turbopuffer-mcp-server.json b/partners/servers/turbopuffer-mcp-server.json
deleted file mode 100644
index fd5d0ee1..00000000
--- a/partners/servers/turbopuffer-mcp-server.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
-    "name": "turbopuffer-mcp-server",
-    "title": "turbopuffer",
-    "summary": "Connect to turbopuffer for serverless vector and full-text search over your data.",
-    "description": "The turbopuffer MCP server connects AI agents to turbopuffer, a serverless search engine built on object storage. Query namespaces using vector similarity search, BM25 full-text search, hybrid search, and attribute filtering. Upsert, delete, and manage documents across namespaces. Fast, 10x cheaper, and extremely scalable.",
-    "kind": "mcp",
-    "packages": [],
-    "icon": "https://avatars.githubusercontent.com/turbopuffer?s=64",
-    "license": {
-        "name": "turbopuffer Terms of Service",
-        "url": "https://turbopuffer.com/terms"
-    },
-    "useCases": [
-        {
-            "name": "Search Infrastructure",
-            "description": "Power semantic search, BM25 full-text search, and hybrid search over billions of documents with sub-10ms cached latency, backed by object storage for cost-efficient scaling."
-        },
-        {
-            "name": "RAG Pipelines",
-            "description": "Build retrieval-augmented generation pipelines by connecting AI agents to turbopuffer for fast, scalable context retrieval over large document collections."
-        },
-        {
-            "name": "Retrieval",
-            "description": "Efficiently narrow millions of documents down to tens or hundreds for downstream processing, reranking, or generation using vector similarity and attribute filtering."
-        }
-    ],
-    "externalDocumentation": {
-        "title": "turbopuffer Documentation",
-        "url": "https://turbopuffer.com/docs"
-    },
-    "tags": ["search", "embeddings", "rag", "full-text-search", "vector-search", "hybrid-search", "vector-database"],
-    "vendor": "Partner",
-    "categories": "Databases",
-    "visibility": "true",
-    "remote": "https://turbopuffer.stlmcp.com/",
-    "remoteType": "streamable-http",
-    "versionName": "original",
-    "securitySchemes": {
-        "turbopufferApiKey": {
-            "type": "apiKey",
-            "description": "Authenticate with your turbopuffer API key.",
-            "in": "header",
-            "name": "Authorization"
-        }
-    },
-    "supportContactInfo": {
-        "name": "turbopuffer Support",
-        "url": "https://turbopuffer.com/contact/support"
-    },
-    "customProperties": {
-        "x-ms-preview": true
-    }
-}