MCP Deep Research MCP Server

MCP Deep Research is a tool that allows you to search the web for information. It is built with the [Model Context

Local serverstdio

What is the MCP Deep Research MCP server?

MCP Deep Research becomes available to MCP clients through the mcp deep research mcp server. MCP Deep Research is a tool that allows you to search the web for information. It is built with the Model Context Protocol and the Tavily API.

What MCP Deep Research does

MCP Deep Research is a tool that allows you to search the web for information. It is built with the Model Context Protocol and the Tavily API.

Tools it exposes

Once connected, the assistant can call these 3 tools directly:

  • TAVILY_API_KEY — The API key for the Tavily API
  • MAX_SEARCH_KEYWORDS — The maximum number of search keywords to use
  • MAX_PLANNING_ROUNDS — The maximum number of planning rounds to use

Installing the mcp deep research mcp server

The server is distributed via npm as @smithery/cli, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.

Configuration

Before the server will start you need to supply 3 environment variables: TAVILY_API_KEY, MAX_SEARCH_KEYWORDS, MAX_PLANNING_ROUNDS. Keep credentials in your client's env block or a secrets manager rather than committing them.

Where it fits

Developer-tool servers are usually the first ones people connect, because they turn "help me with this code" into an assistant that can actually read the repo and act on it. MCP Deep Research sits in that group, and the shape of its toolset — TAVILY_API_KEY, MAX_SEARCH_KEYWORDS, MAX_PLANNING_ROUNDS — tells you what it is really for. Worth comparing against the other developer tools servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • It will not start until its required credentials are present, so set those before wondering why the tools never appear.
  • Maintained by baranwang.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the mcp deep research mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

Available tools

ToolWhat it does
TAVILY_API_KEYThe API key for the [Tavily](https://tavily.com/) API.
MAX_SEARCH_KEYWORDSThe maximum number of search keywords to use.
MAX_PLANNING_ROUNDSThe maximum number of planning rounds to use.

How to install the MCP Deep Research MCP server

{
  "mcpServers": {
    "deep-research": {
      "command": "npx",
      "args": ["-y", "mcp-deep-research@latest"],
      "env": {
        "TAVILY_API_KEY": "your_tavily_api_key", // Required
        "MAX_SEARCH_KEYWORDS": "5", // Optional, default 5
        "MAX_PLANNING_ROUNDS": "5" // Optional, default 5
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
TAVILY_API_KEYCredential the server authenticates with.Yes
MAX_SEARCH_KEYWORDSCredential the server authenticates with.Yes
MAX_PLANNING_ROUNDSConfiguration value read at startup.Optional

Example prompts to try

  • Use MCP Deep Research to TAVILY API KEY.
  • Use MCP Deep Research to MAX SEARCH KEYWORDS.
  • Use MCP Deep Research to MAX PLANNING ROUNDS.

Frequently asked questions

It connects MCP Deep Research to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (TAVILY_API_KEY, MAX_SEARCH_KEYWORDS, MAX_PLANNING_ROUNDS) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Deep Research directly.