How to Choose an MCP Search Service for AI Agents: A Comparison of 5 Providers

This article compares five search MCP services for AI Agents: AnySearch, Exa, Firecrawl, Parallel, and Tavily. It examines the tasks each service is designed to support, the types of information it can retrieve, and how to get started with each MCP.

For industry research that requires both general web search and specialized information retrieval across multiple domains, AnySearch is a strong option. AnySearch provides general web search, specialized domain search, batch search, and webpage content extraction through a single MCP interface. This makes it easier to search for and review different types of information related to a single research question.

Parallel is worth considering when you need to find information in government PDFs or lengthy reports.

Exa is worth considering when you want to submit a research question and receive an initial answer with cited sources.

Firecrawl is worth considering when you need to retrieve futures quotes and verify contract months and update timestamps.

Tavily is worth considering when you need to filter search results before retrieving content from multiple webpages in batches.

The following sections explain the reasons behind these recommendations, based on each provider's officially documented product capabilities and research using the same questions.

Choose a Search MCP Based on Your Work Requirements

The table below lists one search MCP to try first for each type of work, with explanations based on the Hormuz impact analysis discussed later in this article. The five services have overlapping capabilities, and each row presents a use case where one service is worth trying first.

Choose the search services to try based on the most common everyday tasks, then compare the information returned by each service using the same business question. The comparison focuses on whether key sources can be found, whether all the required information can be retrieved, and how much more information needs to be searched for.

What the Five Services Offer and Who They Are For

When choosing a service, first look at the capabilities each provider offers and how they can be used in actual research. The following sections outline the core capabilities of each provider's MCP based on official documentation. They then examine the same question about the impact of the Strait of Hormuz, showing which tools were used and what information was retrieved in this test.

Official Core Capabilities

The table below summarizes the core capabilities and main tools listed on each provider's official website. The tools available may vary depending on account permissions and enabled settings.

How the Five Services Were Used in the Same Case Study

To show how these tools are used in research, this article compares records from the five services based on the same question about the impact of the Strait of Hormuz. The task required information on crude oil and gold prices, U.S. energy inventories, food supply and demand, and congressional records. It covered several specialized domains and required both searching for and reading official sources. The full question is provided in the case study below.

The five records differ in execution time, follow-up prompts, tool permissions, and budget. The following sections show how each service was actually used.

AnySearch: Suitable for General Web Search and Cross-Domain Specialized Information Retrieval

A research task often requires understanding the background of an event, as well as looking up market prices, industry statistics, or regulations. AnySearch provides general web search and specialized domain search through a single MCP interface. Users can first check available domains and parameters, then submit different queries in batches. When more details are needed, they can continue extracting the full text of source webpages. This combination is suitable for teams that need to gather different types of information around one research question and carry out research step by step.

In the Strait of Hormuz case study, market data queries required specifying the products, energy research required looking up inventories and production separately, food supply and demand queries required specifying the year, and legislative research required checking the progress of bills. The Agent used AnySearch to search for each type of information separately, then read sources such as the EIA, USDA, and Congress.gov and used information from different domains in the same impact analysis.

After specialized domain searches provided leads, the Agent continued using AnySearch's general web search to find agency reports. It then used webpage content extraction to read data explanations and official documents. All these searches and follow-up searches were completed through the same MCP interface, making it easier to gather more information as needed. The case study below describes this process in detail.

Exa: Suitable for Getting an Initial Research Draft, Then Checking and Adding Information

With Exa's Research tool, users can submit a complete research question. Exa searches for and organizes information, then returns an initial answer. This approach is suitable for teams that want the service to handle information gathering and initial organization. Generating an initial research draft requires waiting for the information to be organized, making it more suitable for topic research and first drafts of reports.

In the Strait of Hormuz case study, the original question asked for global wheat production. However, Exa's initial draft mainly provided total supply and noted that it included beginning stocks. Production refers to the amount of grain produced in a given year, while total supply also includes stocks. These are two different measures and answer different questions. Additional searches were needed to find the production data. Therefore, before using an initial research draft, it is important to check whether all the required data is included and whether it meets the requirements of the question.

Firecrawl: Suitable for Checking Futures Quotes, Searching, and Reading Webpages

In this research, the market data tool used through Firecrawl returned futures contract months, quote update times, and latency information. AnySearch, by comparison, retrieved prices, previous closing prices, and price ranges through its financial domain search. The two services provide different types of information. When choosing a service, these differences should be checked against actual business needs.

Firecrawl also supports searching for information and reading the original content. First, use Search to find sources, then use Scrape to read the selected sources. In this research, these two tools were used to retrieve the text of a USDA report and EIA data files. Find Tools was then used to locate a market data tool and look up futures quotes.

Parallel: Suitable for Finding Information in PDFs and Lengthy Reports

Parallel's Fetch tool can first return excerpts related to a query. If more context is needed, users can request the full text. In the Strait of Hormuz research, both methods were used to read the same USDA PDF. This is suitable for teams that often need to find data in government reports and read the original text to check the data's scope and meaning. When testing the service, pay attention to whether the required paragraphs, tables, and explanations are complete.

In addition to reading reports directly, Parallel's Research tool can also prepare an initial answer with citations, providing a starting point for checking the sources. In this case study, after receiving the initial draft, additional searches were made using Search and Fetch to read historical news reports and check which events and dates were associated with the crude oil price increase.

Tavily: Suitable for Building Your Own Information-Gathering Workflow with Search and Batch Extraction

Tavily's Search and Extract tools can be used in an information-gathering workflow managed by the Agent itself: first search for leads, then select the URLs to keep, and finally retrieve content from those URLs in batches. In the Strait of Hormuz research, this process was used to retrieve materials such as USDA PDF and EIA CSV files. For Agents that can already break down questions and select sources, these tools can handle the search and webpage retrieval tasks.

When using these tools, consider the time needed to retrieve missing content and retry failed requests. In the Strait of Hormuz case study, one batch contained four URLs. Three returned content, while one failed. Some other requests were also rate-limited and had to be retried after waiting. As a result, the research required additional attempts to retrieve content from failed pages. When testing Tavily, check whether your own tasks also require these extra steps and how they affect the time needed to complete the task.

Case Study: How an Agent Uses AnySearch for Cross-Domain Research

The case study was recorded on November 6, 2026. The original question was:

The U.S. and Iran have started fighting in the Strait of Hormuz, and oil prices have surged . Help me prepare a full impact analysis. What are the latest price movements for Brent crude, WTI crude oil, and gold? How much remains in the U.S. Strategic Petroleum Reserve, and what are the current production and inventory levels? Will this rise in oil prices spread to global food prices? What are the production and trade figures for wheat and rice? Has the U.S. Congress taken any legislative action or made any moves to authorize the war? Finally, bring these four areas together to assess the overall impact of the conflict and the sectors it could affect.

The event described in the question and the rise in oil prices are also points to be verified in this research.

The question clearly sets out four areas to investigate: market prices, energy, food, and the U.S. Congress. Based on these requirements, the Agent arranged the searches and used the AnySearch MCP to gather information and carry out the analysis. The following sections explain the process in three steps: searching, follow-up searches, and organizing the findings.

Step 1: Choose the Search Approach Based on the Type of Information

The Agent first checked the domains and parameters available through AnySearch, then set different search conditions for each type of information: specifying the products for market prices, looking up inventories and production separately for energy data, specifying the year for food supply and demand, and looking up bills and voting progress in congressional records. It then submitted the queries through Batch Search and used general web search to find additional leads.

Note: The information in the table was collected through AnySearch. The Agent prepared the final impact analysis after reading and checking these sources.

Step 2: Combine Web Search and Webpage Content Extraction to Find Additional Official Sources

The Agent first used AnySearch's specialized domain search to find relevant information, then used its general web search and webpage content extraction capabilities to find additional information from official sources to fill data gaps. For energy data, it continued searching for EIA weekly reports, summary text, and data access points. For food data, it searched for USDA and FAO reports. For congressional records, it read action records on Congress.gov and official texts from GovInfo.

These materials were used to check the reporting periods, what the data measures mean, and the progress of bills. General web search helped locate additional sources, while webpage content extraction made it easier to read explanations beyond the summaries. This allowed information from different domains to be used in the subsequent analysis.

Step 3: Organize Information by Source and Reporting Period to Prepare an Impact Analysis

After retrieving the information, the Agent organized the data by source, reporting period, and unit. For energy data, it kept inventory levels separate from daily production. For food data, it organized production, trade, and stocks separately and distinguished estimates from forecasts. For congressional records, it distinguished between bill introduction, voting, and enactment status.

The organized information was used to analyze how changes in oil prices could affect transportation, fertilizers, food, and macroeconomic and financial conditions. The Agent also considered different scenarios based on inventory buffers and policy actions. This case shows how AnySearch uses general web search, specialized domain search, and webpage content extraction to continue providing information for cross-domain research.

When testing the service, you can submit a complete work-related question through a client connected to AnySearch. Check whether the final answer covers the main requirements and whether key findings can be traced to specific sources. This makes it easier to understand how these capabilities can support everyday research than testing a single keyword.

AnySearch MCP Setup: No Local Deployment Required, Get Started in Three Steps

AnySearch provides a hosted remote MCP service that can be connected to through clients that support remote HTTP. You do not need to deploy a search service locally or install a protocol-conversion proxy. You can also try Search, domain search, Batch Search, and webpage content extraction anonymously, without registering an account or preparing an API key. If you need more requests, you can configure an account API key.

The official website provides setup instructions for the following 10 clients, with different installation options for each client:

When using Cursor or VS Code, you can start with one-click installation. If you prefer to manage the configuration yourself, the following section explains how to connect in three steps, using VS Code as an example.

Step 1: Copy the Configuration and Connect to the Remote Service

Create or merge .vscode/mcp.json in your workspace, then add the anonymous configuration below. The service endpoint is https://api.anysearch.com/mcp, and it uses Streamable HTTP:

{
  "servers": {
    "anysearch": {
      "type": "http",
      "url": "https://api.anysearch.com/mcp",
      "headers": {
        "X-Anysearch-Client": "mcp/1.0.0"
      }
    }
  }
}

Anonymous access does not require an API key. If you already have an API key, you can expand the API key configuration below. VS Code will prompt you to enter the key the first time you start the service, so you do not need to write it into the configuration file.

View the full configuration with an API key:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "anysearch-api-key",
      "description": "AnySearch API key",
      "password": true
    }
  ],
  "servers": {
    "anysearch": {
      "type": "http",
      "url": "https://api.anysearch.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:anysearch-api-key}",
        "X-Anysearch-Client": "mcp/1.0.0"
      }
    }
  }
}

Step 2: Start the Connection in the Client

Open the VS Code Command Palette, run MCP: List Servers, and select anysearch → Start. Anonymous mode can be started directly.

If you are using an API key, enter it when prompted. Use Show Output to check the connection status and confirm that the tools are available. For other clients, follow the corresponding configuration and startup steps in the official installation documentation.

Step 3: Ask a Question and Run Your First Search

After connecting, enter the following prompt in the client's chat:

Use AnySearch to search the official MCP documentation and return the titles and links of three results.

Once the client calls search and returns source links, the first search is complete. You can then ask your own questions, and the client will call domain search, Batch Search, and webpage content extraction as needed.

View examples of domain search, actual search results, and webpage content extraction

When you need to search for a specialized domain, first use get_sub_domains to check which parameters are valid, then call search. Here, the official React documentation is used as an example: first, look up the code domain, then search for the dependencies and cleanup function in useEffect. The following shows the search parameters from an existing call:

{
  "query": "React useEffect cleanup dependencies official documentation",
  "domain": "code",
  "sub_domain": "code.doc",
  "sub_domain_params": {
    "library": "react"
  },
  "max_results": 3
}

The example search returned two results from the official React documentation repository, each with a title, URL, summary, and request ID. The two results point to:

• Example of a useEffect cleanup function.
• Explanation of declaring reactive dependencies.

You can then submit the URL of a selected HTML webpage to extract its content. You can also use the AnySearch installation page to test the extraction feature separately. The parameters are as follows:

{
  "url": "https://www.anysearch.com/docs/mcp-install"
}

The existing call for the installation page returned the URL, title, and page content.

How to Get Started and Calculate Usage Costs

First, check how to connect to each service, then look at how searches, webpage retrieval, and research answers are measured. In the table below, "anonymous trial" means connecting without signing in or providing an API key. AnySearch Free, Pro, and Enterprise are plans available to registered users. The table summarizes how to get started with each service.

A single batch search may contain multiple queries, and a single research answer may involve multiple rounds of internal searches. To estimate costs, count usage according to each provider's billing rules, then add other costs, such as those for the caller-side model.

Usage and Cost Estimates for the Same Case Study

Using the Strait of Hormuz research question from the previous sections, this section estimates the search and extraction costs for AnySearch and Tavily. AnySearch uses the Pro prepaid package rate, while Tavily uses its public pay-as-you-go rate. Neither estimate deducts free allowances. First, look at how each step is charged, then compare the results with your own usage and plan.

AnySearch: Estimated Search and Extraction Quota

According to the product documentation, each successful search sub-query that returns non-empty results counts as one unit, and each valid webpage content extraction counts as one unit. Failed, timed-out, and invalid requests are not charged. Applying these rules to the records from this case study gives the following search and extraction totals:

If all usage is covered by purchased Pro quota at $3 per 1,000 units, the estimated cost of the search and extraction above is about $0.285. This is an estimate of tool usage costs based on the call records. Actual charges are subject to the account's usage records.

Tavily: Estimated Advanced Search and Webpage Extraction Costs

In the same research task, Tavily completed 15 Advanced Search calls and successfully extracted content from 29 URLs. According to its public pricing rules, each Advanced Search call costs 2 credits; Advanced Extract costs 2 credits per 5 successful URLs, while Basic Extract costs 1 credit per 5 successful URLs. Based on the number of successful URLs, the estimated usage is:

At Tavily's public pay-as-you-go rate of $0.008 per credit, the estimated cost is about $0.328. This is the estimated credit cost for the recorded usage under the stated paid pricing. Actual costs depend on the number of searches and the amount of content retrieved.

Tavily's extraction costs are estimated in proportion to the number of successful URLs. Actual usage and charges may differ because of per-batch rounding. The free allowances, plan discounts, and caller-side model costs for both services are not included.

How to Choose an AnySearch Plan

After estimating how many calls a complete task requires, you can choose a plan. The following quota and pricing details are based on product information dated November 5, 2026.

When choosing a plan, first check whether Free covers your daily usage. Then consider whether you need Pro quota or Enterprise services. All API keys under the same account share the self-service quota. Any remaining Pro quota is used first. Once it is exhausted, the remaining Free quota for that day is used.

Plan note: All three plans support API, MCP, and Skill. QPS is the request rate limit and does not directly indicate how quickly a research report can be completed.

Other Questions to Consider When Choosing a Service

Q1：When Should You Use MCP, and When Should You Use the API Directly?

Use MCP when you want the Agent to select tools based on the task, adjust parameters, and continue searching for additional information. Use the API directly when you want your application to send requests, process results, and control the workflow itself. For each option, refer to the relevant documentation for details on the tools, parameters, and authentication.

Q2：How Should You Handle Research Materials in PDF Format?

AnySearch's extract tool retrieves the content of HTML webpages. If a report is only available as a PDF, you can use a file parsing tool alongside AnySearch. If an official webpage version is available, you can search for and extract its content directly.

Q3：Do You Need to Check the Domain Before Every Search?

For general web searches, you can use search directly. When you need to search a specific domain, first use get_sub_domains to check the valid parameters, such as product codes for market data or years for industry statistics. This makes it easier to define your query clearly. If the results are insufficient, you can also switch to general web search and read the source content.

Q4：Can the Agent Write Conclusions Directly from the Returned Content?

First, link key findings to their sources and check the dates, units, and status of the information. If the source has not been read, its content is truncated, or the data conflicts with other sources, the answer should state what cannot yet be confirmed before presenting an overall analysis.

For industry research that requires both general web search and specialized information retrieval across multiple domains, you can start with the AnySearch MCP installation guide. Choose one-click installation or the configuration for your client. Try the service anonymously, then test it with a real task from your work to see how well it searches for information and retrieves source content. After registering, you can use the Free plan and choose Pro or Enterprise based on your actual usage.