"Full Stack Web Application Development" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
15 pay-per-event data APIs for local-business and web intelligence: Google Maps, reviews, social and professional scrapers, RAG web browsing, France fuel prices, hotel rates, API change monitoring, local AI presence audits and monitoring, AEO checks, and AI brand visibility tracking.
One question, one checked answer: quote-verified answers from the web and ~45 structured sources.
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Cited web evidence and fact checking for AI agents. $0.01 per call, no API key.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Live MCP connector for Develust Technology's services — web development, infrastructure, backend architecture. Hybrid search with AI reranking for accurate results. No auth required.
Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
Free, read-only context retention review for RAG and agent workflows. Supply sanitized text with stable source IDs and a token budget; receive a source-linked context pack, token estimates, and exact excerpt-retention results. No web fetching, account access, model calls or payments. Checks text selection, not factual truth or semantic completeness. No API key required.
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Direct access to 60+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.
Website and company intel for agents: DNS, WHOIS, SSL, tech stack, email security, profiles
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Public read-only recipe library for AI agents. Search 29 Hebrew workflow recipes and retrieve exact full text with list_recipes and get_recipe. Six recipes have full English companions; other English fields are labeled summaries. Streamable HTTP, no API key. Docs: https://ofershap.github.io/agent-success-hub/mcp-connect.md . Official registry: io.github.ofershap/recipe-library.
Search and read 263 real AI bot setups: steps, what worked, what failed. Full pack $7.
Search, inspect and inject full source modules (code + AI rules + MCP) pinned to a Git commit.
Read-only Hebrew AI-agent recipe library with search and full-text retrieval.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
GRIN-scored news for agents: discover by verdict, pull full analysis, traverse extraction graphs.
Fact-check claims against live web sources: verdict, consensus, cited sources, PII redaction.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
AI web extraction: send URLs + a JSON Schema, get clean structured data. Pay-per-use via x402.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
Semantic search over a 200-chunk ACLM lifestyle medicine knowledge base.
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.
