"Resources or Information on Industry Research" matching MCP servers:

MCP server for evidence-aware video research, providing tools to analyze local videos, inspect specific time windows, and analyze Bilibili videos with provenance tracking and optional audio removal for privacy.

A server that allows AI assistants to perform web searches using Perplexity's sonar-deep-research model with citation support.

An append-only research operations framework and read-only MCP that tracks research plans, approvals, observations, claims, failures, revisions, and contributions with source-grounded evidence, providing search, evidence fetch, and audit capabilities without direct ledger writes.

Enables read-only, provenance-aware research over Discord by pairing an explicitly authorized Discord Desktop local-RPC/OAuth2 path for bounded live channel snapshots with message, thread, and channel search across a locally maintained archive, without writes, deletes, or session-token automation.

Enables AI assistants to search and read an open quant research record: papers, topics, killed candidates, trial counts, live paper-trading sleeves, and a tamper-evident chain head. It provides six read-only tools over public CDN files, returning each source's stated limits alongside paper-execution-only caveats.

A Model Context Protocol server that performs comprehensive web research by combining Tavily Search and Crawl APIs to gather extensive information and provide structured JSON output tailored for LLMs to create detailed markdown documents.

A read-only MCP server for EdgeDepth's market microstructure search engine, enabling users to query recorded crypto and TradFi perpetuals for market conditions, outcomes, and reproducibility-keyed evidence directly from MCP clients.

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

Enables AI agents to perform web searches via DuckDuckGo without API keys and automate browser tasks with headless Chromium. Supports multi-step research workflows that automatically search and extract content from multiple pages.

Official European law, expanding globally: 20M+ documents, 35+ jurisdictions, verifiable citations.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Provides instant, offline access to a curated intelligence database of 25 Solana/web3 earning platforms, with tools to search topics, retrieve detailed evidence notes, and view verdict, payout rail, and KYC gate statistics.

Open-source stdio bridge to Crawdar’s hosted business research MCP server. Nine tools provide evidence-backed company research, resumable lead searches, and a no-key fictional sandbox; the crawler backend is hosted, not self-hosted.

Enables AI agents to start, control, and verify local open.mp/SA-MP game servers via MCP stdio, using a headless RakClient to send allowed slash commands and assert round-trip responses.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Hosted Amazon market-intelligence MCP for Claude and ChatGPT: query brands, sellers, ASINs, under-competed niches, the cross-seller operator network, observed buy-box history, and Amazon/Walmart cross-marketplace overlap. 65 read-only research tools over a pre-collected research dataset.

Read-only MCP connector that serves the Run It on AI book. The index and Implementation Blocks are free; full chapters and playbooks unlock with a license key included with the book.

Enables deep research evidence synthesis and citation verification by generating structured research graphs through the Model Context Protocol.

Enables decomposition of complex research queries into multi-hop sub-queries and synthesis DAGs, with scientific consensus analysis, citation credibility verification, and deterministic JSON outputs for MCP-compliant clients.