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Cognitive-Stack

Search Stock News MCP Server

by Cognitive-Stack
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Remote

🔌 Compatible with Cline, Cursor, Claude Desktop, and any other MCP Clients!

Search Stock News MCP works seamlessly with any MCP client

The Model Context Protocol (MCP) is an open standard that enables AI systems to interact seamlessly with various data sources and tools, facilitating secure, two-way connections.

The Search Stock News MCP server provides:

  • Real-time stock news search capabilities via Tavily API

  • Multiple customizable search query templates

  • Configurable search parameters and filtering

  • Domain-specific content filtering

  • Type-safe operations with TypeScript

Prerequisites 🔧

Before you begin, ensure you have:

  • Tavily API Key

  • Claude Desktop, Cursor, or any MCP-compatible client

  • Node.js (v16 or higher)

  • Git installed (only needed if using Git installation method)

Related MCP server: Tavily News Search MCP Server

Search Stock News MCP Server Installation ⚡

Running with NPX

npx -y search-stock-news-mcp@latest

Installing via Smithery

To install Search Stock News MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install search-stock-news-mcp --client claude

Configuring MCP Clients ⚙️

Configuring Cline 🤖

The easiest way to set up the Search Stock News MCP server in Cline is through the marketplace:

  1. Open Cline in VS Code

  2. Click on the Cline icon in the sidebar

  3. Navigate to the "MCP Servers" tab

  4. Search "Search Stock News" and click "install"

  5. When prompted, enter your Tavily API key

Alternatively, manually configure the server in Cline:

  1. Open the Cline MCP settings file:

# For macOS:
code ~/Library/Application\ Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

# For Windows:
code %APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json

  1. Add the Search Stock News server configuration:

{
  "mcpServers": {
    "search-stock-news-mcp": {
      "command": "npx",
      "args": ["-y", "search-stock-news-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Configuring Cursor 🖥️

To set up the Search Stock News MCP server in Cursor:

  1. Open Cursor Settings

  2. Navigate to Features > MCP Servers

  3. Click on the "+ Add New MCP Server" button

  4. Fill out the following information:

    • Name: "search-stock-news-mcp"

    • Type: "command"

    • Command:

    env TAVILY_API_KEY=your-api-key-here npx -y search-stock-news-mcp@latest

Configuring Claude Desktop 🖥️

For macOS:

touch "$HOME/Library/Application Support/Claude/claude_desktop_config.json"
open -e "$HOME/Library/Application Support/Claude/claude_desktop_config.json"

For Windows:

code %APPDATA%\Claude\claude_desktop_config.json

Add the server configuration:

{
  "mcpServers": {
    "search-stock-news-mcp": {
      "command": "npx",
      "args": ["-y", "search-stock-news-mcp@latest"],
      "env": {
        "TAVILY_API_KEY": "your-api-key-here"
      }
    }
  }
}

Usage Examples 🎯

  1. Basic Stock News Search:

{
  "symbol": "AAPL",
  "companyName": "Apple Inc.",
  "maxResults": 10
}

  1. Advanced Search with Filters:

{
  "symbol": "TSLA",
  "companyName": "Tesla Inc.",
  "maxResults": 20,
  "searchDepth": "advanced",
  "minScore": 0.6
}

  1. Custom Domain Search:

{
  "symbol": "MSFT",
  "companyName": "Microsoft Corporation",
  "includeDomains": ["reuters.com", "bloomberg.com"]
}

Troubleshooting 🛠️

Common Issues

  1. Server Not Found

    • Verify npm installation

    • Check configuration syntax

    • Ensure Node.js is properly installed

  2. API Key Issues

    • Verify your Tavily API key is valid

    • Check the API key is correctly set in config

    • Ensure no spaces or quotes around the API key

  3. Search Results Issues

    • Check search parameters are within valid ranges

    • Verify domain filters are correctly formatted

    • Ensure company name and symbol are accurate

Acknowledgments ✨

  • Model Context Protocol for the MCP specification

  • Anthropic for Claude Desktop

  • Tavily for the News Search API

License

MIT

Available Tools

2 tools
search-stock-newsC

Search for stock-related news using Tavily API

ParametersJSON Schema
NameRequiredDescriptionDefault
companyNameYesCompany name (e.g., Apple Inc.)
maxResultsNoMaximum number of results to return
minScoreNoMinimum relevance score threshold
searchDepthNoSearch depth level
symbolYesStock symbol (e.g., AAPL)

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the Tavily API but doesn't describe key behaviors such as rate limits, authentication needs, error handling, or what the search results include (e.g., headlines, summaries, sources). For a search tool with external API dependencies, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes the API name for context. Every word earns its place, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of a search tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., list of articles with fields), how results are ordered, or any behavioral traits like pagination or API constraints. For a tool with rich input schema but missing output and behavioral context, it should do more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema (e.g., no examples of how parameters interact or typical values). Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Search') and resource ('stock-related news'), and specifies the API used ('Tavily API'). It distinguishes from the sibling 'general-search' by focusing on stock-related content, though it doesn't explicitly mention this differentiation. The purpose is specific and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like 'general-search', nor does it mention any prerequisites, exclusions, or contextual triggers. It simply states what the tool does without indicating appropriate scenarios or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server
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TDQS

B3.1/5.0
Disambiguation5/5

The two tools have clearly distinct purposes: 'general-search' is for broad web searches, while 'search-stock-news' is specifically for stock-related news. There is no overlap or ambiguity between them, making it easy for an agent to select the appropriate tool based on the query context.

Naming Consistency5/5

Both tool names follow a consistent verb_noun pattern with hyphens: 'general-search' and 'search-stock-news'. They use the same naming convention throughout, making the set predictable and readable without any deviations or mixed styles.

Tool Count2/5

With only two tools, the server feels under-scoped for a 'Search Stock News MCP Server'. While the tools cover general and stock-specific searches, the domain suggests potential for more operations like filtering, sorting, or retrieving detailed news, making the count too low for the apparent purpose.

Completeness2/5

The tool surface is significantly incomplete for a stock news server. It lacks essential operations such as filtering news by date, source, or stock ticker, retrieving trending news, or accessing detailed article content. This will likely cause agent failures when trying to perform comprehensive stock news analysis.

Maintenance

ActivityInactive
ResponsivenessNo issues

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