Exa MCP Server vs You.com MCP in 2026: Setup, Tools, and What Each Exposes

TLDR: The Exa MCP server provides two default tools for web search and page fetching, with advanced search and authenticated Exa Agent available separately. You.com documents six defaults, including research, answers, balance, and integration discovery; finance is optional. Choose by required workflow, authentication, and observed task quality, not tool count alone. The examples below use named clients and explicitly scoped tools.

An MCP integration decision has two parts: can the client connect, and can the resulting tool calls complete your task? This guide compares the documented server surfaces, then gives a configuration and evaluation workflow. It does not report installation tests, live search results, or measured performance. Treat the configuration examples as documentation-based starting points to validate in your own environment.

What is the Exa MCP server?

Exa MCP connects AI assistants to Exa capabilities through the hosted endpoint https://mcp.exa.ai/mcp. Its official MCP reference documents remote client setup, a local npm package, and selectable tools. The two enabled defaults are web_search_exa, which returns search content, and web_fetch_exa, which reads full page content as markdown from one or more URLs.

Exa also documents web_search_advanced_exa for controls including domain restrictions, date ranges, highlights, and summaries. The optional agent_run tool supports multi-step research and structured output, and requires authentication. These are separate choices: enabling a tool makes it available, while authentication establishes access. Adding Agent to the URL does not remove its authentication requirement.

For planning, distinguish a search-and-read assistant from an agent that delegates research. In the first, your application owns which sources to open and how to synthesize them. In the second, you are evaluating a broader research workflow. Do not treat their output quality or completion time as interchangeable measurements.

What does You.com expose by default?

The You.com MCP reference lists seven tools, six enabled by default at https://api.you.com/mcp. The table separates those defaults from the optional tool. Search, contents, research, and answers form four useful workflow categories, but they are not the complete default tool count.

Tool	Documented purpose	Default?
you-search	Web and news search	Yes
you-contents	Page extraction in markdown or HTML	Yes
you-research	Synthesized, citation-backed research	Yes
you-answer	Citation-backed answers from web results	Yes
you-balance	Remaining credit balance for the API key	Yes
you-discover	Recommendations for You.com integration paths	Yes
you-finance	Finance-optimized research	No

You.com recommends the remote endpoint and also documents a local npm package using STDIO. Remote access supports a bearer API key or OAuth 2.1 on compatible clients. The documented free profile, https://api.you.com/mcp?profile=free, exposes only search without credentials. It is not the six-tool authenticated configuration and cannot establish whether contents or research fits your workload.

The local package uses YDC_API_KEY for authenticated access and does not support OAuth. It supports tool scoping through YDC_ALLOWED_TOOLS; its free profile takes precedence over that setting. Keep remote URL options, HTTP headers, and local environment variables separate in your deployment instructions rather than mixing them into one generic configuration.

How do you install and scope the servers?

Exa in Claude Code

For a minimal remote integration, Exa documents this Claude Code command. Use it when you want the MCP server itself rather than assuming that a plugin and a connector are identical installations:

claude mcp add --transport http exa https://mcp.exa.ai/mcp

Exa also offers a Claude plugin containing its MCP server and skills. Record which installation path you choose in your test notes so later comparisons do not silently include different supporting instructions. Client configuration is not universal: Exa's reference uses different URL keys for clients such as Windsurf and Gemini CLI, and a different top-level shape for OpenCode.

A scoped Cursor comparison configuration

The following Cursor configuration combines Exa's documented URL and API-key header with You.com's Cursor template, which omits the type field. It exposes search and fetching on both servers, plus Exa advanced search. Use separate scratch profiles or enable only one server at a time during controlled comparisons. The placeholders are not working credentials.

{
  "mcpServers": {
    "exa-scoped": {
      "url": "https://mcp.exa.ai/mcp?tools=web_search_exa,web_fetch_exa,web_search_advanced_exa",
      "headers": {
        "x-api-key": "<EXA_API_KEY>"
      }
    },
    "you-scoped": {
      "url": "https://api.you.com/mcp?tools=you-search,you-contents",
      "headers": {
        "Authorization": "Bearer <YDC_API_KEY>"
      }
    }
  }
}

Both references document explicit tool lists through the URL's tools parameter. For Exa, list the default tools alongside an optional tool when you want to retain them; its examples show that pattern for Agent and advanced search. You.com likewise recommends a comma-separated URL list, and also supports the HTTP header X-Allowed-Tools. Choose one documented scoping mechanism per configuration to make review straightforward.

To evaluate Exa Agent, add agent_run to the Exa list and retain authentication. To evaluate You.com research, add you-research to its list. Add finance explicitly only for a financial research workflow. Confirm the visible tool list after each change instead of treating a successful connection as proof that the intended capabilities are available. See the Exa configuration reference and You.com setup and scoping reference for other clients.

How does authentication change the comparison?

Exa documents a free plan for casual use and an API key for higher usage, with x-api-key shown in its remote configuration. Its Agent tool requires OAuth or an Exa API key. You.com's documented credential-free route is the search-only free profile; its standard remote setup supports OAuth 2.1 or a bearer API key. Avoid describing either limited entry point as unrestricted production access.

Match authentication state to the question you are testing. A credential-free search trial can check basic retrieval suitability, but it is not an authenticated research evaluation. Before comparing results, record each server's enabled tools, identity mode, client version, and account conditions. Leave exact usage limits and pricing to the current vendor references unless your evaluation captures and reports them directly.

Does a smaller tool list make an agent faster?

Not by itself. Anthropic's Agent SDK tool-search documentation describes dynamically discovering tools and loading their definitions on demand rather than always loading every definition upfront. It also documents fallback and configuration cases that load definitions upfront. This is a client and deployment behavior, not a property that can be inferred solely from the MCP server's advertised tool count.

Separate the server's available tools from the definitions actually supplied to the model. Scope tools to clarify responsibilities and limit unnecessary capabilities, then measure the resulting workflow. Record tool discovery events, tool selection mistakes, calls, and end-to-end duration. Two default tools versus six is a factual inventory comparison, not evidence of a speed, cost, or accuracy advantage.

Does MCP make provider schemas interchangeable?

MCP provides a shared integration protocol, not identical vendor tool contracts. The references describe different tool names and operations: Exa's fetching tool returns page markdown, while You.com's contents tool offers markdown or HTML. Research tools introduce additional behavior beyond a search response. A shared connection mechanism does not establish matching arguments, output fields, or error handling.

For a provider switch, review each tool's current argument schema and validate the response your application actually consumes. Build a small adapter around the evidence you need, such as source URL and extracted text, rather than assuming field names align. Keep vendor-specific research outputs distinct until you have defined how citations, structured results, and incomplete runs should map into your application.

How do you troubleshoot a failed setup?

Start by identifying the failing layer: configuration parsing, connection, authentication, tool discovery, or tool execution. Capture the client error and sanitized logs before changing multiple settings. The Exa troubleshooting section and You.com troubleshooting section support these checks:

• No tools appear: verify the configuration location and client-specific shape, then restart the client. Inspect your explicit tool list. For You.com, check whether the search-only free profile explains a missing contents or research tool.
• Authentication fails: confirm which endpoint and identity mode you configured. For You.com OAuth problems, verify client support; its documentation recommends restarting to clear cached token state after an unsuccessful flow, or using an API key as a fallback.
• Exa reports a free-plan rate limit: its reference identifies a 429 and recommends adding your own API key. Confirm the configured key is actually reaching the server before retrying the workload.
• A local server will not start: check that Node.js and npx are installed and available on the client process's PATH. You.com's documentation recommends inspecting logs and trying the remote option if local installation fails.

For optional Exa Agent runs, distinguish failure from continued execution. Exa documents that a run can outlive the call window and return a running status with an ID. Retain that ID and use the documented continuation pattern rather than automatically submitting another independent research task. Make this behavior part of your application's handling of incomplete work.

What evaluation should precede production?

Use this recommended workflow to turn a successful connection into a defensible decision. It is an evaluation plan, not a claim that either server has passed these checks. For broader methodology, see How We Evaluate AI Search.

1. Define representative tasks. Include a factual lookup, a question requiring a page read, a constrained search, and a research task if research is in scope. Specify the evidence and final-answer requirements before collecting outputs.
2. Separate comparison tracks. Compare search-and-fetch configurations under a shared synthesis setup. Evaluate vendor research tools as end-to-end workflows in another track. Document intentional differences instead of labeling every configuration equivalent.
3. Control the client. Hold model, prompts, content budgets, timeout policy, retries, and caching policy constant where possible. Record tool-search settings and prevent unintended routing through another enabled search tool.
4. Inspect outcomes. Log the selected tools, sources, citations, failures, retries, elapsed client time, and available usage information. Grade whether the cited evidence supports the answer, not simply whether the tool returned content.
5. Repeat and decide. Run paired trials, examine disagreements, and report uncertainty alongside aggregate scores. Keep failures in the accounting. Set your acceptance criteria before choosing a provider, then rerun the suite after configuration changes.

A concrete acceptance task

For a documentation assistant, ask each configuration to locate the official installation instructions for a library, open the relevant page, and explain one supported setup path with a citation. Define success as locating the correct project, preserving the documented command, and citing the page that supports it. Count an unsupported command as a failure even if the answer sounds plausible. If the search succeeds but the page read fails, record both outcomes rather than collapsing them into a single retrieval score.

Next, repeat with a question whose answer requires a domain restriction. Compare Exa advanced search only after enabling it, and record the corresponding You.com search settings. Inspect the actual arguments selected by the assistant. If the model omits the restriction, classify that separately from a provider returning irrelevant results despite receiving the intended constraint. This distinction gives you a concrete next action: fix tool selection, adjust the adapter, or investigate retrieval.

What security and rollout checks matter?

As deployment recommendations, keep credentials out of committed configuration and shared logs; use your client's supported secret storage or environment injection. Limit enabled tools to the workflow being approved. Review the full capabilities separately from the tools currently visible, and require human approval before introducing new authenticated research or account-related operations.

Treat retrieved pages as untrusted evidence, not instructions that may authorize further actions. Preserve source URLs for review, redact sensitive queries from shared traces, and define retention rules for tool output. During rollout, keep a known-good configuration and an owner for investigating failed tasks. These are operational controls to establish, not assurances supplied by choosing either server.

Choose Exa or You.com after the scoped workload meets your quality, access, and operating requirements. For a separate provider comparison, the Tavily vs Exa guide concerns Tavily and Exa, not a substitute MCP configuration. Start with the smallest configuration that satisfies your tasks, verify it in a scratch environment, and expand deliberately.