A Model Context Protocol (MCP) server that provides advanced HTTP request capabilities for Claude and other LLMs. Built on
Most browser automation work still happens through a UI a human drives. MCP Rquest MCP server moves it into the conversation instead. A Model Context Protocol (MCP) server that provides advanced HTTP request capabilities for Claude and other LLMs. Built on rquest, this server enables realistic browser emulation with accurate.
The server publishes 12 tools. What each one is for:
http_get — Perform GET requests with optional parametershttp_post — Submit data via POST requestshttp_put — Update resources with PUT requestshttp_delete — Remove resources with DELETE requestshttp_patch — Partially update resourceshttp_head — Retrieve only headers from a resourcehttp_options — Retrieve options for a resourcehttp_trace — Diagnostic request tracingget_stored_response — Retrieve stored large responses, optionally by line rangeget_stored_response_with_markdown — Convert HTML or PDF responses to Markdown format for better LLM processingget_model_state — Get the current state of the PDF models loading processrestart_model_loading — Restart the PDF models loading process if it failed or got stuckThe server ships on PyPI as mcp-rquest, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the browser automation group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Rquest's toolset — http_get, http_post, http_put and 9 more — is a fair guide to whether it matches your workflow. It is maintained by xxxbrian; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| http_get | Perform GET requests with optional parameters |
| http_post | Submit data via POST requests |
| http_put | Update resources with PUT requests |
| http_delete | Remove resources with DELETE requests |
| http_patch | Partially update resources |
| http_head | Retrieve only headers from a resource |
| http_options | Retrieve options for a resource |
| http_trace | Diagnostic request tracing |
| get_stored_response | Retrieve stored large responses, optionally by line range |
| get_stored_response_with_markdown | Convert HTML or PDF responses to Markdown format for better LLM processing |
| get_model_state | Get the current state of the PDF models loading process |
| restart_model_loading | Restart the PDF models loading process if it failed or got stuck |
Using `pip`:
```json
{
"mcpServers": {
"http-rquest": {
"command": "python",
"args": ["-m", "mcp_rquest"]
}
}
}Configuration as documented by the project. Restart the client after saving.
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