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@@ -2873,8 +2873,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [gogabrielordonez/mcp-ragchat](https://github.com/gogabrielordonez/mcp-ragchat) 📇 🏠 - Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server and embeddable widget. - [gogabrielordonez/mcp-ragchat](https://github.com/gogabrielordonez/mcp-ragchat) 📇 🏠 - Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server and embeddable widget.
- [poll-the-people/customgpt-mcp](https://github.com/Poll-The-People/customgpt-mcp) 🐍 🏠 ☁️ - An MCP server for accessing all of CustomGPT.ai's anti-hallucination RAG-as-a-service API endpoints. - [poll-the-people/customgpt-mcp](https://github.com/Poll-The-People/customgpt-mcp) 🐍 🏠 ☁️ - An MCP server for accessing all of CustomGPT.ai's anti-hallucination RAG-as-a-service API endpoints.
- [vectara/vectara-mcp](https://github.com/vectara/vectara-mcp) 🐍 🏠 ☁️ - An MCP server for accessing Vectara's trusted RAG-as-a-service platform. - [vectara/vectara-mcp](https://github.com/vectara/vectara-mcp) 🐍 🏠 ☁️ - An MCP server for accessing Vectara's trusted RAG-as-a-service platform.
- [zaharajabeen13-create/ai-rete-rag-mcp](https://github.com/zaharajabeen13-create/ai-rete-rag-mcp) 🐍 ☁️ - Decisions the model doesn't make: a Rete rule engine returns the verdict, retrieval over your own policy documents explains it — so an explanation can't invent a threshold your rulebook doesn't have. Turn a written policy into draft rules that cite the sentence each encodes, save them as YAML, then decide; every verdict names the rule that fired, and you can ask why any rule didn't. - [zaharajabeen13-create/ai-rete-rag-mcp](https://github.com/zaharajabeen13-create/ai-rete-rag-mcp) 🐍 ☁️ - Decisions the model doesn't make: a Rete rule engine returns the verdict, retrieval over your own policy documents explains it — so an explanation can't invent a threshold your rulebook doesn't have. Turn a written policy into draft rules that cite the sentence each encodes, save them as YAML, then decide; every verdict names the rule that fired, and you can ask why any rule didn't.[![zaharajabeen13-create/ai-rete-rag-mcp MCP server](https://glama.ai/mcp/servers/zaharajabeen13-create/ai-rete-rag-mcp/badges/score.svg)](https://glama.ai/mcp/servers/zaharajabeen13-create/ai-rete-rag-mcp)
### 🔎 <a name="search"></a>Search & Data Extraction ### 🔎 <a name="search"></a>Search & Data Extraction
- [pgalyen1987/gate402-mcp](https://github.com/pgalyen1987/gate402-mcp) [![pgalyen1987/gate402-mcp MCP server](https://glama.ai/mcp/servers/pgalyen1987/gate402-mcp/badges/score.svg)](https://glama.ai/mcp/servers/pgalyen1987/gate402-mcp) 📇 ☁️ - Pay-per-call agent APIs over x402 (USDC on Base): per-token LLM inference (Llama 3.1/Qwen/Mistral), per-second GPU/CPU compute, on-chain/DeFi + SEC-EDGAR + news data, and clean-Markdown/Cloudflare-stealth web scraping. Signed receipts, no signup — auto-claims a free-tier key. Install via `npx -y gate402-mcp`. - [pgalyen1987/gate402-mcp](https://github.com/pgalyen1987/gate402-mcp) [![pgalyen1987/gate402-mcp MCP server](https://glama.ai/mcp/servers/pgalyen1987/gate402-mcp/badges/score.svg)](https://glama.ai/mcp/servers/pgalyen1987/gate402-mcp) 📇 ☁️ - Pay-per-call agent APIs over x402 (USDC on Base): per-token LLM inference (Llama 3.1/Qwen/Mistral), per-second GPU/CPU compute, on-chain/DeFi + SEC-EDGAR + news data, and clean-Markdown/Cloudflare-stealth web scraping. Signed receipts, no signup — auto-claims a free-tier key. Install via `npx -y gate402-mcp`.
- [KnockOutEZ/wigolo](https://github.com/KnockOutEZ/wigolo) [![KnockOutEZ/wigolo MCP server](https://glama.ai/mcp/servers/KnockOutEZ/wigolo/badges/score.svg)](https://glama.ai/mcp/servers/KnockOutEZ/wigolo) 📇 🏠 - Local-first, keyless web intelligence in one server: search, fetch, crawl, extract, cache, find-similar, and research. Multi-engine search with local ML reranking and a persistent SQLite cache, renders JS-heavy pages, and keeps everything on your machine. Install via `npx wigolo init --non-interactive --agents=<agent>`. - [KnockOutEZ/wigolo](https://github.com/KnockOutEZ/wigolo) [![KnockOutEZ/wigolo MCP server](https://glama.ai/mcp/servers/KnockOutEZ/wigolo/badges/score.svg)](https://glama.ai/mcp/servers/KnockOutEZ/wigolo) 📇 🏠 - Local-first, keyless web intelligence in one server: search, fetch, crawl, extract, cache, find-similar, and research. Multi-engine search with local ML reranking and a persistent SQLite cache, renders JS-heavy pages, and keeps everything on your machine. Install via `npx wigolo init --non-interactive --agents=<agent>`.