"MetaTrader 5 (MT5) Trading Platform Information" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
SENATRAN: Recall, official-source lookup. Platform-hosted, pay per query with prepaid credit.
Your private knowledge base: upload documents (.md, .txt, .docx, PDF, images), the platform indexes
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
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.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
Recommendations, search, catalogue, analytics, and platform admin tools for NeuronSearchLab
VaultCrux Platform — 60 tools: retrieval, proof, intel, economy, watch, org
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
Real-time web search, reasoning, and research through Perplexity's API
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.
Make your knowledge agent-ready. One MCP endpoint, 5 connectors, 3 search modes.
Provides metadata information to AI agents through the search API.
