"Overview of HTTP (HyperText Transfer Protocol)" matching MCP connectors:
Matching Connector Tools:
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Your company's brain for AI agents. Cited, permission-aware knowledge across every system.
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.
Connect to Hugging Face Hub and thousands of Gradio AI Applications
Real-time web search with answer-ready results for Claude, Cursor and any MCP client. A Tavily alternative: same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels won) on a public benchmark. Hosted on mcp.serpdive.com or npx serpdive-mcp.
Google AI Overview answers and cited sources via the Apify Google AI Overview API, hosted MCP.
Remote ChromaDB vector database MCP server with streamable HTTP transport
AI agents hallucinate SaaS pricing constantly. PriceOf fixes that with structured, verified data — 50+ products with confidence scores, freshness scores, and last-verified timestamps.
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
Connecting LLMs and AI agents to real-time production data shouldn't mean writing endless boilerplate middleware. BoltSchema automatically converts your PostgreSQL into secure, production-ready, and hosted Model Context Protocol (MCP) servers. Save days of engineering time, handle JSON-RPC schemas automatically, and let your AI securely query the exact data context it needs in under 60 seconds.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
Same functionality, consuming only 1/20 of the context window tokens.
Medical RAG: semantic search for clinical guidelines, drug interactions, diagnoses & EHR data.