Traylinx Web Retrieval Service MCP Adapter

An implementation of the Model Context Protocol (MCP) server, serving as an intermediary layer to communicate with the established Agentic Search API hosted by Traylinx. It empowers connected MCP clients, such as Cursor or Claude Desktop, to leverage advanced, intelligent information-seeking functions, yielding both synthesized text summaries and structured data outputs (including HTML, images, and other digital media).

Available Functionality

search

Executes a web query utilizing the proprietary Traylinx API, which furnishes highly detailed and contextually pertinent results complete with source citations. By default, this function does not impose any temporal constraints on the retrieved outcomes.

Parameters for Invocation: - query (textual): The precise search string submitted for retrieval. - search_recency_filter (optional text): A constraint to limit results based on when the information was published. Permissible values include: "month", "week", "day", or "hour". If this argument is omitted, no time-based filtering will be applied.

Operational Flow

1. Initialization requires configuring this MCP server instance with the designated Agentic Search API Uniform Resource Locator (URL) and the requisite secret API Key (these are typically conveyed via environment variables managed by the client configuration mechanism).
2. An MCP consumer (e.g., Claude) initiates a tool invocation, transmitting the search query along with any optional temporal filtering parameter to this server.
3. The MCP Server then forwards a secure request, including the necessary authorization token, to the external Agentic Search API endpoint.
4. The server systematically processes the rich payload returned from the API (which may contain prose, markup, raw search records, media references, or current affairs data) and serializes this information into a structured format consumable by the MCP client.

Deployment Prerequisites

Required Components

• Node.js runtime environment, version 18.0.0 or newer.
• A valid, provisioned API credential obtained from Traylinx.

Phase 1: Credential Acquisition

1. Register or log into your account at traylinx.com.
2. Navigate to the platform's developer portal or the specific section dedicated to API management.
3. Generate the necessary API key designated for the Agentic Search service.
4. Safeguard this credential rigorously, as it is essential for the configuration process.

Phase 2: Setting Up the MCP Host

# Obtain the source code repository
git clone https://github.com/traylinx/traylinx-search-engine-mcp-server.git
cd traylinx-search-engine-mcp-server

# Install required project dependencies
npm install

# Compile the source code into distributable assets
npm run build

Phase 3: Client Environment Configuration

Integration with Claude Desktop

Modify your configuration file, typically named claude_desktop_config.json:

{
  "mcpServers": {
    "traylinx-search-engine-mcp-server": {
      "command": "node",
      "args": ["path/to/traylinx-search-engine-mcp-server/dist/index.js"],
      "env": {
        "AGENTIC_SEARCH_API_KEY": "sk-lf-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
        "AGENTIC_SEARCH_API_URL": "https://agentic-search-engines-n3n7u.ondigitalocean.app",
        "LOG_LEVEL": "INFO"
      }
    }
  }
}

Locate this file at: - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json

Integration with Cursor

Update your specific Cursor configuration file, usually mcp.json:

{
  "traylinx-search-engine-mcp-server": {
    "env": {
      "AGENTIC_SEARCH_API_KEY": "sk-lf-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
      "AGENTIC_SEARCH_API_URL": "https://agentic-search-engines-n3n7u.ondigitalocean.app",
      "LOG_LEVEL": "INFO"
    },
    "command": "node",
    "args": ["path/to/traylinx-search-engine-mcp-server/dist/index.js"]
  }
}

CRITICAL NOTICE: Substitute the sample API credential with your authentic key obtained from Traylinx.com.

Validation Procedure

1. After applying the requisite configuration changes, perform a complete restart of your MCP client application.
2. Initiate a novel interaction session and instruct the client to utilize this newly registered capability:
   • "Execute a web search using the tool to ascertain facts regarding quantum information processing."
   • "Query for the most recent intelligence reports concerning generative artificial intelligence, constrained to results published within the last seven days."
   • "Retrieve and parse the textual content alongside the HyperText Markup Language source from the URI https://traylinx.com"
3. When prompted by the client software for execution authorization, affirmatively grant permission.
4. The expected outcome is a response payload containing amalgamated textual data and, potentially, supplementary structured data objects.

Advanced Utilization Modes

The Traylinx Web Retrieval Service MCP Server is engineered to furnish several distinct categories of output data:

• Prose Content: Standard output formatted in Markdown, summarizing the synthesized search findings.
• Embedded Markup: When resource URI extraction is requested, the server is capable of returning the raw, scraped HTML source.
• Search Itemizations: Structured records detailing search results, including titles, source URIs, and descriptive excerpts.
• Media References: Pointers or data relating to visual assets, video files, or other digitized media discovered.
• Current Affairs Summaries: Time-sensitive news items, often accompanied by visual thumbnails and associated metadata.
• Original API Payload: The complete, unmodified data structure returned directly by the Agentic Search API, suitable for downstream processing or debugging.

Applying Temporal Constraints

To restrict search results based on publication date:

// Example invocation within a Claude Desktop context
Instruct the search utility to identify recent developments regarding SpaceX, limiting observations strictly to data from the preceding twenty-four hours.

// Example invocation via a custom client interface
{
  "name": "search",
  "arguments": {
    "query": "SpaceX upcoming missions",
    "search_recency_filter": "day"
  }
}

Key Capabilities

• Diverse Payload Return: Generates multiple distinct content formats beyond rudimentary text streams.
• Recency Tuning: Fine-grained control over result age using period-based filters (month, week, day, hour).
• Credential Security: Handles the sensitive API key strictly within the protected environment variable space.
• Endpoint Flexibility: Easily reconfigurable to point towards alternative API deployment locations if necessary.
• Protocol Adherence: Fully compliant implementation of all mandatory methods defined within the MCP server specification.

Deployment via Smithery.ai

This MCP service is optimized for deployment onto the Smithery.ai platform:

1. Access or create your Smithery administrative console.
2. Select the option to "Deploy a New MCP Server".
3. Input the unique identifier: traylinx-search-engine-mcp-server
4. Specify the root directory path as: . (representing the project root).
5. Click "Create" to initiate deployment.

Once the deployment lifecycle concludes, you can reference this server within Claude's user interface using the command structure:

Leverage the traylinx-search-engine-mcp-server to conduct an inquiry regarding [your subject matter]

Important Consideration: You must provision your AGENTIC_SEARCH_API_KEY as a secured environment variable within the Smithery deployment settings console.

Diagnostic Guidance

Should operational anomalies be detected:

1. Verify that the configured API access credential is correct and valid.
2. Confirm that the MCP client software has undergone a complete restart post-configuration update.
3. Assess the network pathways to ensure connectivity to the remote Agentic Search API endpoint.
4. Temporarily elevate the LOG_LEVEL setting to DEBUG to capture extensive diagnostic logging information.

For specialized technical assistance, please engage the API provider directly at support@traylinx.com

Licensing

This software project is distributed under the terms of the MIT License. Refer to the LICENSE file for the complete legal stipulations.

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