"Information on Cryptocurrency" matching MCP connectors:

Engram Obsidian Memory SyncAOAuth

io.github.engram-app

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

Verify a company, figure or citation before you rely on it. Card or crypto; signed receipt.

Research on people and companies in your AI, every claim cited. A free account works.

Private, self-describing memory for agents: one house per customer, on a machine of its own.

Grounded facts, fit check, free library search, skill previews and skill packs for founders running a $5–50M business on agents. Human lane: optimus.university.

PQS - Prompt Quality ScoreA

net.onchainintel.pqs

The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.

Read-only Chinese Vibe Coding knowledge connector for search, docs, and repo freshness.

Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.

Read-only hosted MCP over CanonicAI's cited Answers corpus on canonicai.com.

Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.

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.

Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.

LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.

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.

Give AI agents context from your screen recordings. Clipy MCP searches your recording library and imported video context, retrieving summaries, timestamped transcripts, key moments, and available visual evidence. Use it to turn bug reports, UI walkthroughs, and client feedback into context your agent can investigate and act on. Connect through a hosted endpoint with OAuth sign-in.

The most reliable and accurate context for legal AI with benchmarks and clarity on accuracy. Starting in IP, our server offers free/metered usage options for AI and agents to recieve proper context to answer any legal AI question.

Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search, auto-skills, knowledge graph, quantum-safe encryption. Works with Claude Code, Cursor, Windsurf, and any MCP client.

Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.

AI agents hallucinate SaaS pricing constantly. PriceOf fixes that with structured, verified data — 50+ products with confidence scores, freshness scores, and last-verified timestamps.

past.dev is a memory layer for AI agents. You send timestamped text and get back the facts that are current, with dated sources and the history behind them, so an agent knows what changed and what it replaced. Ranked first on BEAM at every history size from 100K to 10M tokens, with the method and the evaluation harness published.