"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.

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.

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.

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 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.

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.

MCP server exposing ATLAS research capabilities: live tokenized stock market data, on-chain source-of-truth reads, and published research atlases. Connects to MCP clients over stdio with no API keys required for public testnet endpoints.

Enables AI assistants to perform comprehensive research by searching Google, mining Reddit discussions, scraping web content with JS rendering, and synthesizing findings with citations into structured context.

Enables AI agents to perform read-only Reddit research, including discovering relevant subreddits, ranking threads by real discussion volume, and returning verbatim quotes with permalinks.

MCP server for technical research in the TOTVS Protheus ecosystem, enabling AI agents to query official documentation, community knowledge bases, and release notes through structured tools. It supports runtime error debugging and ADVPL code generation.

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.

Provides Claude with real-time ETF research tools including quotes, expense ratios, full SEC-filed holdings, overlap analysis, comparisons, and performance data without requiring an API key.

Enables any MCP client to drive a research-to-report workflow end to end: planning a source-target plan with kill criteria, scoring each fetched source with an explainable 0–100 quality breakdown, and assembling a citation-registry report. Report checking mechanically enforces citation coverage, returning orphan claims as an error list rather than a pass.

Enables an agent to capture cited sources with extracted bibliographic metadata, keep linked research notes, and search them all. It turns those into BibTeX, annotated Markdown bibliographies, or themed literature-review outlines, stored as plain files inside the project.

Provides institutional research data retrieval, extraction, validation, and citation generation for AI assistants via the Model Context Protocol.

This local MCP server keeps vulnerability intelligence, research scope, scanner results, evidence receipts, Bugcrowd VRT assessments, and report drafts in one SQLite ledger. It is built for authorized defensive research and does not scan, exploit, or submit reports.

Enables agentic research workflows to prepare scholarly deposits with deterministic validation, file manifests, and package digests, and to create/update Zenodo drafts, while requiring operator-signed approval before publication.

Provides access to OpenAlex's catalog of 240+ million scholarly works through 18 specialized tools for conducting literature reviews, analyzing citations, tracking research trends, and mapping the scholarly landscape including authors, institutions, and collaboration networks.