"Using Windsurf and Claude Tools or Technologies" matching MCP connectors:

Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.

Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

Independent fact-checking for AI answers: a verdict and sources for every claim.

Discover, prove, route, and serve small AI specialists with fast RAG and private agent memory.

Citation and grounding checks for AI output: dangling references, unsupported counts, overclaims.

Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.

Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.

Extractive legal answers and semantic search over the public wiki.private.law corpus

Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.