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    Tavily MCP Server

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    Sold by: Tavily 
    Deployed on AWS
    Tavily MCP is a lightweight server that enables AI assistants to perform real time web search, intelligent crawling, and structured data extraction through the Model Context Protocol (MCP).

    Overview

    The Tavily MCP Server is a lightweight, production ready server that brings live web capabilities search, crawling, and structured data extraction to any AI assistant through the Model Context Protocol (MCP). Once deployed, MCP compatible clients like Claude, Cursor, or custom LLM agents can issue natural language requests that trigger real time search, extraction, and crawling workflows. Results are returned as clean, structured context: summaries, extracted data, metadata, and more, ready to be injected directly as context for AI agents. Once deployed, MCP compatible clients, such as Claude, Cursor, or custom LLM agents, can issue natural language requests that trigger real time search, extraction, and crawling workflows. Results are returned as clean, structured context: summaries, extracted data, metadata, and more. Ready to be injected directly into the models reasoning loop. Built for easy integration, Tavily MCP empowers AI developers to securely, scalably, and with minimal overhead infuse external web knowledge into their agents.

    Highlights

    • /search : Real Time, High Precision Web Search: Query the live web using natural language to retrieve relevance ranked results with structured summaries and URLs. Designed for LLM and agent consumption, Tavily returns smart content snippets ideal for immediate ingestion, and can extract full page content in the same call, enabling both discovery and extraction in a single step. Results can be customized with filters such as time range, domain, and result count.
    • /extract : Structure Aware Content Extraction: Retrieve full page content from up to 20 URLs in a single call. Extracted data is returned as clean text or markdown, ready for downstream use in summarization, Q&A, or embeddings. Advanced mode enables deeper parsing of dynamic pages, embedded media, and structured elements like tables for higher accuracy and coverage.
    • /crawl : Intelligent Web Crawling: Intelligently navigate websites using natural language instructions to extract meaningful content across a website starting from a seed URL, interpret structure, and build sitemaps. Handle authentication and access constraints for scalable, compliant crawling. /map : Intelligent Site Mapping: Intelligently scan a website to surface all accessible URLs without loading content. Ideal for link discovery and when preparing inputs for bulk extraction or crawling.

    Details

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    Delivery method

    Type

    Supported services

    Delivery option
    Tavily MCP v0

    Latest version

    Operating system
    Linux

    Deployed on AWS

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    Pricing

    Tavily MCP Server

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    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    For assistance, please contact support@tavily.com .

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Tavily MCP v0

    Supported services: Learn more 
    • Amazon Bedrock AgentCore - Preview
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    Tavily MCP v0.1.2

    Additional details

    Usage instructions

    Tavily MCP Initialization Guide

    This guide walks you through initializing the Tavily MCP (Model Context Protocol).

    Upgrade AWS CLI

    Ensure the AWS CLI is installed and updated to the latest version. Follow the installation guide here: https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html 

    Prepare Configuration Fields

    Replace the following placeholders in the command seen in step 2:

    • <AGENT_NAME> - Any name you wish

    • <AGENT_DESCRIPTION> - Any description you wish

    • <AGENT_ROLE_ARN> - An IAM role ARN with the required permissions (see below)

    • <ENVIRONMENT_VARIABLE> - Set to your TAVILY_API_KEY You can get a free API key by signing up at tavily.com replace

      --environment-variables '{ "<ENVIRONMENT_VARIABLE>": "<VALUE>" }' with

      --environment-variables '{ "TAVILY_API_KEY": "<your-tavily-api-key>" }'

    IAM Role Trust Policy

    Create/add an IAM role ARN with the below permissions.

    • Select Custom trust policy
    • Create a custom trust policy to enable others to perform actions in this account.
    • Replace the JSON with the below
    { "Version": "2012-10-17", "Statement": [ { "Sid": "Statement1", "Effect": "Allow", "Principal": { "Service": "bedrock-agentcore.amazonaws.com" }, "Action": "sts:AssumeRole" } ] }

    From your terminal make sure to run aws configure and add the access keys associted to the account you make your IAM role with.

    Invocation

    Once you execute the command in step 2, you will get the following output

    { "agentRuntimeArn": "...........................", "workloadIdentityDetails": { "workloadIdentityArn": ".................." }, "agentRuntimeId": "...............................", "agentRuntimeVersion": "..", "createdAt": "...........................................", "status": ".................................................." }

    You need to replace the <AGENT_RUNTIME_ARN> in Step 3: Invoke agent runtime with the output from step 2.

    List of Payloads:

    • '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'
    • '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "tavily_search", "arguments": { "query": "latest AI news", "max_results": 10 } } }'
    • '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "tavily_extract", "arguments": { "urls": ["<www.tavily.com >"]} } }'
    • '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "tavily_crawl", "arguments": { "url": "<www.tavily.com >"} } }'
    • '{ "jsonrpc": "2.0", "id": "1", "method": "tools/call", "params": { "name": "tavily_map", "arguments": { "url": "<www.tavily.com >"} } }'

    For more details on the tool arguments, visit https://docs.tavily.com/documentation/api-reference/endpoint/search 

    Support

    Vendor support

    For assistance, please contact support@tavily.com .

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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