An advanced MCP server that provides intelligent web search capabilities using OpenAI's reasoning models. Perfect for AI assistants that need
Openai Websearch MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. An advanced MCP server that provides intelligent web search capabilities using OpenAI's reasoning models. Perfect for AI assistants that need up-to-date information with smart reasoning capabilities.
Once Openai Websearch MCP is connected, these are the calls the assistant has available:
Cursor — 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions → MCP 3. Add server configuration:openai_web_search — The openai_web_search tool exposed by this serverParameters — The Parameters tool exposed by this server@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need 3 environment variables: OPENAI_API_KEY, OPENAI_DEFAULT_MODEL, PYTHONPATH. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Openai Websearch MCP's toolset — Cursor, openai_web_search, Parameters — is a fair guide to whether it matches your workflow. It is maintained by ConechoAI; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Cursor | 1. Open Cursor Settings (Cmd/Ctrl + ,) 2. Search for "MCP" or go to Extensions → MCP 3. Add server configuration: |
| openai_web_search | The openai_web_search tool exposed by this server. |
| Parameters | The Parameters tool exposed by this server. |
{
"mcpServers": {
"openai-websearch": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"],
"env": {
"OPENAI_API_KEY": "your-value",
"OPENAI_DEFAULT_MODEL": "your-value",
"PYTHONPATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_DEFAULT_MODEL | Configuration value read at startup. | Optional |
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.