Provides semantic search over Cloudflare documentation stored in a Vectorize database.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Semantic Search MCP Server search for how to deploy a Cloudflare worker"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
An MCP Server using the Agents SDK that can search documentation stored in a Vectorize database.
The same code that powers the MCP Server at https://mcp.developers.cloudflare.com/sse (or https://mcp.developers.cloudflare.com/mcp for the stateless version)
{
"mcpServers": {
"cloudflare-docs": {
"command": "npx", // or may need the full path, eg if using volta: "/Users/myuser/.volta/bin/npx"
"args": ["mcp-remote@latest", "https://mcp.developers.cloudflare.com/mcp"]
// Below only needed if you're using a Zero Trust client like Cloudflare WARP
// "env": {
// "NODE_EXTRA_CA_CERTS": "/path/to/certificate.pem"
// }
}
}
}Related MCP server: Vectorize MCP Server
Go to https://playground.ai.cloudflare.com/ and enter https://mcp.developers.cloudflare.com/mcp as the MCP Server
Type Shift-Cmd-P and choose "MCP: Add Server..." and then choose "HTTP (server-sent events)", then enter https://mcp.developers.cloudflare.com/sse as the URL.
npm run devThen go to https://playground.ai.cloudflare.com/ and enter http://localhost:8787/mcp as the MCP Server
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Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
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We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/mhart/mcp-semantic-search'
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