"Roam Research" matching MCP servers:

Provides comprehensive access to Roam Research's API functionality. This server enables AI assistants like Claude to interact with your Roam Research graph through a standardized interface.

A Model Context Protocol server that enables Claude Desktop to read from and write to Roam Research graphs, allowing for retrieving page content, finding references, and adding blocks to existing or daily pages.

A server that enables AI assistants like Claude to interact with Roam Research graphs through a standardized interface, providing comprehensive tools for content creation, search, retrieval, and optional memory management.

Enables AI assistants to interact with Roam Research graphs through comprehensive API access, supporting page/block operations, markdown import, search, memory storage, and complex batch actions for managing knowledge graphs.

MCP server for Roam Research that enables AI assistants like Claude and Cursor to read, write, search, and query your Roam graph with full write access.

Enables fully local semantic search over a Roam Research graph via MCP, providing tools for hybrid retrieval, index refresh, and stats while keeping all content on-machine.

MCP server for Roam Research that allows AI assistants like Claude to read and write to your Roam Research graphs. Supports OAuth authentication and multiple graph connections via Cloudflare Workers.

Provides Temu e-commerce data analysis and market research tools via MCP, enabling AI agents to search products, images, stores, categories, keywords, and reviews for market insights and business decisions.

Enables AI agents to perform professional-grade deep research by aggregating real-time data from multiple sources, evaluating source credibility, and generating comprehensive reports.

A keyless MCP server that lets agents search YouTube across multiple languages and queries, pull transcript highlights, ranges or query-matched passages, fetch real video frames, comments, chapters and channel outlier scores, all without an API key, OAuth or cookies. It also ships a research skill that plans multi-language queries, fans out to subagents, spot-checks quotes and reports coverage.

Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.

A unified MCP server for academic paper discovery, citation exploration, and research intelligence workflows over multiple scientific knowledge sources.

Browser-based research MCP server that drives a real Chromium browser via patched Playwright to access JavaScript-rendered content, dynamic tables, and login-walled dashboards. It provides tools for visiting URLs to extract DOM text and screenshots, and for performing structured data extraction using Anthropic Claude Sonnet.

A read-only FastMCP server for academic research that lets agents search papers, inspect metadata, follow citation graphs, generate BibTeX, and read full texts of open-access PDFs via semantic scholar, OpenAlex, arXiv, DBLP, and Crossref.

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.

An MCP server exposing a registry of paper-backed quantitative trading methods plus a deterministic, no-LLM decision helper for reproducible trading research.

Enables producing verifiable FORRT nanopublication chains with grounded quote verification and compact Science Live constellation projections, supporting reproduction, replication, and new research workflows.

Enables AI coding agents to run Tavily-powered web searches and asynchronous, cited research through MCP, with tools for focused search, task creation, and status retrieval.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Recommends study designs for a research question, states the identifying assumptions to verify, and returns runnable R, Python, or Julia code with a formatted citation for every source, drawn from methodological textbooks, an R package, and research articles on causal inference, econometrics, statistics, and machine learning.