Mcpproxy Go vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Mcpproxy Go | Spider Cloud |
|---|---|---|
| Core Function | Federate multiple MCP servers behind one endpoint | Web crawling, scraping, and search API |
| Security | Quarantine, TPA detection, manual approval | Not applicable (no MCP server execution) |
| Tool Limits | Bypasses Cursor 40-tool and OpenAI 128-function limits | N/A |
| Key AI Integration | Cursor IDE, Claude Desktop, ChatGPT | LangChain, LlamaIndex, CrewAI, AutoGen, etc. |
| Latest News Highlight | 2026-05-10: Industry convergence on admission control for agents | 2026-03-05: Browser AI commands (Act, Extract, Observe) via WebSocket |
Pick MCPProxy Go if you're an AI agent developer juggling multiple MCP servers and need to bypass tool limits with built-in security gates. Choose Spider Cloud when your priority is feeding fresh web data into RAG pipelines or LLM agents — its Rust-based scraping + Browser AI commands deliver fast, reliable crawling at pennies per thousand pages. The two tools solve completely different problems: MCPProxy is a control plane for MCP tools, Spider Cloud is a data plane for web content.
Free, MIT-licensed local MCP proxy that gives every AI client one shared MCP endpoint, with BM25 tool discovery, profiles and quarantine.
Visit Website
Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.
Visit WebsiteWhat real users say: Mcpproxy Go vs Spider Cloud
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Mcpproxy Go
5 mentions across 2 sources · 77% positive (averaged across 2 sources)
Hacker News, GitHub
What users praise
- • Bypasses Cursor's 40-tool and OpenAI's 128-function API limits easily.
- • BM25 semantic matching reduces token usage by up to 99%.
- • Security features: automatic quarantine and TPA detection protect users.
- • Works fully offline with no cloud dependency.
What frustrates them
- • Early-stage product – few real-world reviews or long-term reliability data.
- • Documentation on advanced configuration and troubleshooting is sparse.
- • Some users report crashes when adding many MCP servers.
- • Requires some comfort with JSON config files and CLI.
Researched Jul 3, 2026
Spider Cloud
No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
Who should pick which
- AI agent developer with many MCP serversPick: Mcpproxy Go
MCPProxy Go lets you combine dozens of MCP servers into one endpoint, bypassing tool limits and adding security quarantine — essential for complex agent setups.
- RAG pipeline developer needing web contentPick: Spider Cloud
Spider Cloud's Rust-based scraping + Browser AI commands extract structured data at $0.03/1k pages, directly feeding retrieval pipelines in LangChain or LlamaIndex.
- Security-conscious MCP userPick: Mcpproxy Go
MCPProxy's TPA detection, quarantined servers, and manual approval provide safety layers not available in any alternative.
- Data team scraping at high volumePick: Spider Cloud
Spider Cloud's 99.9% success rate, rotating proxies, and data connectors to S3/GCS/Supabase make it ideal for large-scale, automated crawling.
- Offline MCP server managerPick: Mcpproxy Go
MCPProxy works fully offline with no cloud dependency — perfect for air-gapped or local development environments.
Frequently Asked Questions
Mcpproxy Go vs Spider Cloud: which should you choose?
Pick MCPProxy Go if you're an AI agent developer juggling multiple MCP servers and need to bypass tool limits with built-in security gates. Choose Spider Cloud when your priority is feeding fresh web data into RAG pipelines or LLM agents — its Rust-based scraping + Browser AI commands deliver fast, reliable crawling at pennies per thousand pages. The two tools solve completely different problems: MCPProxy is a control plane for MCP tools, Spider Cloud is a data plane for web content.
Can I use both tools together?
Yes. MCPProxy feeds tool calls to AI agents; Spider Cloud fetches web data. An agent using MCPProxy could call a Spider Cloud tool through an MCP server wrapper.
Does MCPProxy require cloud hosting?
No, MCPProxy runs entirely as a desktop app on your local machine — offline, no cloud needed.
Does Spider Cloud have a free tier?
Yes, Spider Cloud offers a free tier with limited pages (exact quota not specified), then pay-as-you-go after that.
How does MCPProxy bypass OpenAI's 128-function limit?
It uses a single 'retrieve_tools' endpoint that uses BM25 search to return only the most relevant tools per request, drastically reducing the payload size.
What are Browser AI commands in Spider Cloud?
New in March 2026: Act (click, type, navigate), Extract (pull structured data), and Observe (describe screen) via WebSocket — powered by an AI model.
Is MCPProxy open-source?
Yes, MCPProxy is free and open-source. You can inspect, modify, and distribute it under its license.
Does Spider Cloud support anti-detection?
Yes, Spider Cloud includes browser stealth anti-detection and rotating proxies via its unblocker endpoint.
Which tool is better for a solo developer?
Both are solo-friendly. Choose MCPProxy if you need MCP federation; choose Spider Cloud if you need web data for agents.
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Last reviewed: July 3, 2026