"research" matching MCP servers:

Enables AI clients to create and read structured research records—projects, questions, specifications, implementations, executions, artifacts, evidence, evaluations, comparisons, analyses, and reports—through MCP while keeping scientific judgments and approvals human-controlled.

A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.

Enables an OpenTrek-hosted agent to persist research activities, project status, and advisor requirements, and generate evidence-based progress reports via MCP tools.

MCP server that enforces evidence-graded, phase-gated, peer-reviewed research workflows for AI agents to conduct rigorous decision-making.

Enables AI assistants to research, plan, generate requirements and user stories, map codebases, scaffold starter projects, and run multi-step development workflows.

Equips MCP-compatible AI assistants with software development tools for research, codebase mapping, context curation, PRD/user-story/task generation, full-stack scaffolding, and multi-step workflow execution.

MCP server that provides project guardrails including prior art research, project status checks, next task retrieval, and quality gate enforcement for AI-assisted development.

Lets AI agents natively discover and hire human experts for tasks they can't do themselves, such as research, verification, and expert calls.

An MCP server bridging AI agents with enterprise productivity suites, enabling Jira automation, Microsoft Graph integration, and web research via Tavily.

A minimal MCP server that exposes a focused set of GitHub PR review tools to AI agents, enabling PR listing, detail retrieval, comment viewing, and thread management.

An MCP server that connects AI assistants to Notion, enabling automated research, GitHub tracking, and content pipelines with human-in-the-loop approval via a Notion task queue.

A local MCP server that gives AI agents structured task planning, execution tracking, and guided research workflows.

Connects AI assistants to SE Ranking's SEO and project management APIs to enable natural language queries for keyword research, backlink analysis, and technical audits. It supports comprehensive tasks including competitive analysis, domain traffic tracking, and AI search visibility monitoring.

Enables the creation and management of business design artifacts including Business Model Canvases, SWOT analyses, and user personas. It features project organization and AI-powered research tools to automatically populate frameworks with market data.

Provides access to 27+ structured problem-solving frameworks and game-theoretic workflows for software development, project management, and operations research. Helps prevent analysis paralysis and scope creep by transforming open-ended challenges into systematic, time-boxed approaches with clear decision gates.

Enables Claude Code and Codex assistants to research and read/write a team's knowledge base, manage projects and files, and use integrations through MCP tools.

Enables AI assistants to perform software-development tasks such as deep research, codebase mapping, context curation, requirements and user-story generation, full-stack starter project scaffolding, and multi-step workflow execution.

Enables AI assistants to research, plan and manage tasks, generate requirements and user stories, scaffold projects, analyze codebases, curate context, and run multi-step development workflows.

Enables AI assistants to research, plan, generate requirements, user stories, task lists, and full-stack starter projects, analyze codebases, curate context, and run multi-step software development workflows through MCP tools.

Enables AI assistants and MCP-compatible clients to research, plan, generate requirements, analyze codebases, manage tasks, create user stories, and scaffold full-stack starter projects through specialized development tools.