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Connect to everything your agents need, without writing the infrastructure to get there.

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Maximise agent efficiency – faster responses, increased accuracy, fewer tokens used.

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Live 11 Actions

Scholar Sidekick MCP Server
for AI Agents

Connect your AI agent to StackOne's Scholar Sidekick 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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Scholar Sidekick MCP Server
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Coverage

11 Agent Actions

Read-only access to Scholar Sidekick. Extend your agent's capabilities with custom actions.

MCP Actions → Build Actions →

Authentication

Agent Tool Authentication

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

Agent Auth →

Security

Agent Protection

Every Scholar Sidekick tool response scanned for prompt injection in milliseconds, with 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 Scholar Sidekick call.

Tools Discovery →

What is the Scholar Sidekick MCP Server?

A Scholar Sidekick MCP server lets AI agents read Scholar Sidekick data through the Model Context Protocol, Anthropic's open standard for connecting LLMs to external tools. StackOne's Scholar Sidekick 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 Scholar Sidekick MCP Tools

Every StackOne action for Scholar Sidekick, ready for your agent. Read-only, scoped to exactly what you need.

Health Checks

  • Health Check

    Check that the Scholar Sidekick API is up and report its version and limits.

Detect Identifiers

  • Detect Identifiers

    Detect scholarly identifiers such as DOIs, PMIDs and ISBNs in free-form text.

Lookup Identifiers

  • Lookup Identifier

    Resolve a single scholarly identifier to normalized citation metadata.

Format Citations

  • Format Citations

    Resolve a batch of identifiers and format them as citations in a chosen style.

Format Citation Items

  • Format Citation Items

    Format already-resolved citation items in a chosen style without resolving identifiers again.

Citations

  • Export Citations

    Export citations as a bibliography file in RIS, BibTeX, CSL-JSON, EndNote, CSV and other formats.

Check Retraction Status

  • Check Retraction Status

    Check whether a publication has been retracted, corrected or flagged with an expression of concern.

Check Open Access Status

  • Check Open Access Status

    Check whether a publication is open access and where a free copy can be found.

Verify Citations

  • Verify Citation

    Verify that a claimed citation matches the real record behind its identifier or title.

Audit Bibliographys

  • Audit Bibliography

    Audit a whole bibliography for fabricated, mismatched and retracted references.

CSL Styles

  • List CSL Styles

    List and search the CSL citation styles available for formatting and export.

Set Up Your Scholar Sidekick MCP Server in Minutes

One endpoint. Any framework. Your agent is talking to Scholar Sidekick 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

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 Hundreds of Connector Builds Taught Us

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

14 min read

Scholar Sidekick MCP Server FAQ

Does StackOne have a Scholar Sidekick MCP server?
Yes. StackOne offers a hosted Scholar Sidekick 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.
Scholar Sidekick MCP server vs direct API integration: what's the difference?
A Scholar Sidekick MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software work, where backend code calls Scholar Sidekick. A Scholar Sidekick MCP server is for AI agents that discover and call Scholar Sidekick at runtime, such as MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI. StackOne provides both.
How does Scholar Sidekick authentication work for AI agents?
Scholar Sidekick authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK to get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own Scholar Sidekick account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via origin_owner_id.
Are Scholar Sidekick MCP tools vulnerable to prompt injection?
Yes. Scholar Sidekick MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content, such as 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. It runs regex patterns in ~1ms, then a MiniLM classifier in ~4ms. Accuracy is 88.7%, and it runs entirely on CPU.
What is the context bloat of a Scholar Sidekick agent and how do I avoid it?
Context bloat happens when Scholar Sidekick tool schemas and API responses eat your Scholar Sidekick agent's memory, preventing it from reasoning effectively. A single Scholar Sidekick query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery reduces it by loading only the tools relevant to each query.
Can I limit which actions my Scholar Sidekick agent can access?
Yes. You can limit which actions your Scholar Sidekick 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 Scholar Sidekick MCP server?
Yes. You can create custom agent actions for your Scholar Sidekick MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research Scholar Sidekick's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a Scholar Sidekick MCP server?
Skip a Scholar Sidekick MCP server if your integration is purely software-to-software, because direct Scholar Sidekick 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 Scholar Sidekick actions at runtime.
What AI frameworks and AI clients does the StackOne Scholar Sidekick MCP server support?
The StackOne Scholar Sidekick 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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