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PubMed MCP Server
for AI Agents

Connect your AI agent to StackOne's PubMed MCP server and give it ready-to-use MCP tools out of the box. Auth, tool execution, and security all managed.

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PubMed MCP Server
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Coverage

9 Agent Actions

Create, read, update, and delete across PubMed — and extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

Per-user OAuth in one call. Your PubMed MCP server gets session-scoped tokens with zero credentials stored on your infra.

Agent Auth →

Security

Agent Protection

Every PubMed tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.

Prompt Injection Defense →

Performance

Max Agent Context. Min Cost.

Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every PubMed call.

Tools Discovery →

What is the PubMed MCP Server?

A PubMed MCP server lets AI agents read and write PubMed data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's PubMed MCP server ships with pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.

All PubMed MCP Tools

Every action from PubMed's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.

Articles

  • Search Articles

    Search PubMed for articles matching a query and return their PubMed IDs (PMIDs).

  • Get Articles

    Retrieve full article records or abstracts for one or more PMIDs.

Article Summaries

  • Get Article Summaries

    Retrieve document summaries (title, authors, journal, publication date, identifiers) for one or more PMIDs.

Match Citations

  • Match Citations

    Resolve free-text citation strings to PubMed IDs (PMIDs) in batch.

Databases

  • List Databases

    List all Entrez databases available through the E-utilities API.

Database Infos

  • Get Database Info

    Retrieve statistics and metadata for a single Entrez database.

ID Lists

  • Upload ID List

    Upload a list of UIDs to the Entrez History server and receive a WebEnv and query_key.

Related Articles

  • Get Related Articles

    Find related or linked records for one or more PMIDs (similar articles, cross-database links, or LinkOut URLs).

Spelling Suggestions

  • Get Spelling Suggestions

    Return spelling suggestions for the terms in an Entrez query.

Set Up Your PubMed MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to PubMed in under 10 lines of code.

MCP Clients

Claude Desktop setup guide
Claude Code setup guide
Cursor setup guide
Goose setup guide

Agent Frameworks

Claude Desktop
{
  "mcpServers": {
    "stackone": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://api.stackone.com/mcp?x-account-id=<account_id>",
        "--header",
        "Authorization: Basic <YOUR_BASE64_TOKEN>"
      ]
    }
  }
}

Platform Resources

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

12 min

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

12 min

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

14 min read

PubMed MCP Server FAQ

Does StackOne have a PubMed MCP server?
Yes. StackOne offers a hosted PubMed MCP server, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
PubMed MCP server vs direct API integration — what's the difference?
A PubMed MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling PubMed. A PubMed MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling PubMed at runtime. StackOne provides both.
How does PubMed authentication work for AI agents?
PubMed authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own PubMed account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are PubMed MCP tools vulnerable to prompt injection?
Yes — PubMed MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a PubMed agent and how do I avoid it?
Context bloat happens when PubMed tool schemas and API responses eat your PubMed agent's memory, preventing it from reasoning effectively. A single PubMed query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my PubMed agent can access?
Yes — you can limit which actions your PubMed agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my PubMed MCP server?
Yes — you can create custom agent actions for your PubMed MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research PubMed's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a PubMed MCP server?
Skip a PubMed MCP server if your integration is purely software-to-software — direct PubMed API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call PubMed actions at runtime.
What AI frameworks and AI clients does the StackOne PubMed MCP server support?
The StackOne PubMed MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.

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