"Exploring Research on MicroChannel Plates (MCPs)" matching MCP connectors:
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Verify a company, figure or citation before you rely on it. Card or crypto; signed receipt.
Grounded financial research for agents: filings, transcripts, news across US and Asia markets.
Start cited deep-research runs, read reports, search your source vault, and verify citations.
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)
Research paper search with real citations and reference formatting for AI assistants
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.
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.
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.
Source-traced evidence research for AI agents. We organise the evidence; you decide.
Free decision methods, work-kit previews and optional feedback. Hosted research is not available.
Objective-driven deep research: free daily quick search plus MPP-paid cross-source browser reports.
Fact-check claims against live web sources: verdict, consensus, cited sources, PII redaction.
LLM caching proxy (x402 USDC on Base) - exact + semantic cache. Free health.
Market data and web intelligence for AI agents, paid per call in USDC on Base via x402.