"An agent for conducting research" matching MCP servers:

A multi-model research agent platform supporting Claude, Gemini, and OpenAI models with web search capabilities, thinking-enabled features, and citation support for advanced research workflows.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

An MCP server that acts as a proxy to connect MCP clients to agent frameworks like Mastra and LangGraph, enabling agent discovery, dynamic server connections, and recursive agent networks.

A multi-agent research system using a shared blackboard (belief store) for agents to collaborate, exposed as MCP tools for use with Claude Desktop or other MCP hosts.

A dual-mode MCP server and CLI agent for AI-powered tasks including weather, news, file management, web scraping, and data processing via LangChain.

An MCP server that exposes web lookup, save note, and list notes tools for a router-research-writer agent pipeline, enabling coordinated multi-agent workflows via the Model Context Protocol.

An MCP server that provides agent-powered tools, each using an LLM agent loop to iteratively call FlowMCP schema tools to solve complex problems. It can be mounted as Express middleware and supports A2A protocol for agent-to-agent communication.

An MCP server that wraps the Claude Agent SDK, enabling Claude-powered queries, coding tasks, web search, and customizable agent execution using OAuth without an API key.

An MCP server that provides shared memory, kanban board, and agent registry for AI agents to collaborate as a team, with a live dashboard for human oversight.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides access to Agent Observatory's live experiment data, including visit stats, AI crawler info, and self-classification endpoints. Enables AI agents to discover and interact with the observatory's passive research infrastructure.

Bridges Cline to an AI agent system through the Model Context Protocol, enabling message sending, session management, and assistant switching for seamless interaction with AI agents.

Enables deep research tasks using a multi-agent architecture that integrates any LLM and MCP tools. Available via MCP stdio, streamable HTTP, and SSE transports.

MCP client for AgentRelay, enabling local Codex agents to communicate with an AgentRelay HTTP relay for agent orchestration and task management.

WordPress plugin that provides an MCP server for governed, agent-assisted Gutenberg content creation and revision with validation and design contracts.

Enables creation and deployment of AI agents through natural language by providing tools for agent specification, smart component integration from 500+ ready-to-use components, and one-click deployment with intelligent auto-configuration.

An agent gateway that aggregates multiple local MCP servers into a single MCP endpoint with runtime control, hot-reloadable configuration, and meta tools like bridge__execute for calling any child server tool without restart.

A buyer-side HTTP 402 runtime and agent-commerce surface inspector for autonomous agents, enabling inspection of paid-action surfaces and execution of payment loops.

An MCP server that enables agents to join the Cortex Agent Center, declare capabilities, discover other agents, and exchange messages directly, facilitating agent-to-agent collaboration.

Enables real-time communication and orchestration of multiple AI agents with a web dashboard for monitoring agent activities, tasks, and artifacts.