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PubMed

Community
grll

A MCP server for PubMed data

Publishergrll
Repositorypubmedmcp
LanguagePython
Forks
21
Stars
108
Available tools
0
Transport typestdio
Categories
Search Web
LicenseMIT
Links
GitHub
  • Connect tools to AI workflows

    PubMed exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    108 stars and 21 forks from the linked repository.

PubMed MCP

A MCP server that allows to search and fetch articles from PubMed.

PubMed is a database of over 35 million citations for biomedical literature from MEDLINE, life science journals, and online books.

This MCP server relies on the pubmedclient Python package to perform the search and fetch operations.

Usage

Add the following to your claude_desktop_config.json file:

json
{
    "mcpServers": {
        "pubmedmcp": {
            "command": "uvx",
            "args": ["pubmedmcp@latest"],
            "env": {
                "UV_PRERELEASE": "allow",
                "UV_PYTHON": "3.12"
            }
        }
    }
}

Make sure uv is installed on your system and 'uvx' is available in your PATH (claude PATH sometimes is not the same as your system PATH). You can add a PATH key in your claude_desktop_config.json file to make sure uv is available in claude PATH.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "pubmedmcp": {
      "command": "uvx",
      "args": [
        "pubmedmcp@latest"
      ],
      "env": {
        "UV_PRERELEASE": "allow",
        "UV_PYTHON": "3.12"
      }
    }
  }
}

Use PubMed MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once PubMed is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add PubMed as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the PubMed MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "pubmed": {
      "command": "npx",
      "args": [
        "-y",
        "pubmedmcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the PubMed MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the PubMed MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use PubMed to help me with this task?
PubMed
Sure. I read it.
Here is what I found using PubMed.

Frequently asked questions

What is the PubMed MCP server used for?

PubMed is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use PubMed MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use PubMed with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use PubMed MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With PubMed connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect PubMed MCP to TypingMind?

PubMed runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does PubMed MCP provide in TypingMind?

PubMed exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use PubMed MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If PubMed requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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