You.com MCP Server
The You.com MCP Server enables AI assistants to perform various types of searches and gather information using the You.com API:
Web Search: Access You.com's standard web search functionality
Smart Search: Get AI-powered answers with citation support and custom instructions
Research: Obtain comprehensive, citation-backed answers for academic queries
News Search: Fetch the latest news articles on any topic
Allows storing configuration and API keys for the You.com service in environment variables loaded from a .env file.
Used for cloning the repository during installation.
Hosts the repository (youcom-mcp) that can be cloned for installation.
Required runtime environment for the MCP server with version 16 or higher needed.
Package manager used to install dependencies and run the MCP server.
Alternative package manager that can be used instead of npm to install dependencies.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@You.com MCP Serverfind recent news about AI advancements in healthcare"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
You.com MCP Server
This MCP (Model Context Protocol) server provides AI assistants with the ability to search the web, get news, and perform research using the You.com API. Feedback welcomed.
Features
Web Search: Access to You.com's web search functionality
Smart Search: AI-powered answers with citation support
Research: Comprehensive, citation-backed answers for academic queries
News Search: Latest news articles on any topic
Related MCP server: Kagi MCP Server
Prerequisites
Node.js (v16 or higher)
npm or yarn
You.com API key (get one from api.you.com)
Installation
Clone this repository:
git clone https://github.com/jimbul/youcom-mcp.git cd youcom-mcpInstall dependencies:
npm installCreate a
.envfile based on the example:cp .env.example .envAdd your You.com API key to the
.envfile:YOU_API_KEY=your_actual_api_key_hereBuild the project:
npm run build
Running Locally (Optional)
You can run the server locally for testing:
npm startSetting up with Claude
To use this MCP server with Claude (Anthropic Assistant), you need to configure Claude to use this server:
Open the Claude extension settings in VS Code:
Click on the Claude icon in the VS Code sidebar
Click on the settings icon (⚙️) and select "MCP Settings"
Add the following configuration to the
mcpServerssection:
"youcom-mcp": {
"autoApprove": [],
"disabled": false,
"command": "node",
"args": [
"/absolute/path/to/your/youcom-mcp/dist/index.js"
],
"env": {
"YOU_API_KEY": "your_actual_api_key_here"
},
"transportType": "stdio"
}Important Notes:
Replace
/absolute/path/to/your/youcom-mcp/dist/index.jswith the actual path on your systemReplace
your_actual_api_key_herewith your You.com API key
Usage Examples
Once configured, you can use the MCP tools directly in your conversations with Claude:
Web Search
<use_mcp_tool>
<server_name>youcom-mcp</server_name>
<tool_name>web_search</tool_name>
<arguments>
{
"query": "latest research on renewable energy"
}
</arguments>
</use_mcp_tool>Smart Search
<use_mcp_tool>
<server_name>youcom-mcp</server_name>
<tool_name>smart_search</tool_name>
<arguments>
{
"query": "how do quantum computers work",
"instructions": "explain in simple terms"
}
</arguments>
</use_mcp_tool>Research
<use_mcp_tool>
<server_name>youcom-mcp</server_name>
<tool_name>research</tool_name>
<arguments>
{
"query": "effects of climate change on ocean ecosystems",
"instructions": "focus on coral reefs"
}
</arguments>
</use_mcp_tool>News Search
<use_mcp_tool>
<server_name>youcom-mcp</server_name>
<tool_name>news_search</tool_name>
<arguments>
{
"query": "latest developments in AI"
}
</arguments>
</use_mcp_tool>Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Running evals
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.tsLicense
MIT
Acknowledgements
This project uses the You.com API for search functionality.
Available Tools
4 toolsnews_searchD
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The news query to send to You.com's News API |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
researchD
| Name | Required | Description | Default |
|---|---|---|---|
| instructions | No | Custom instructions for tailoring the response (optional) | |
| query | Yes | The research query to send to You.com's Research API |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
smart_searchD
| Name | Required | Description | Default |
|---|---|---|---|
| conversationId | No | A hex UUID to maintain conversation continuity (optional) | |
| instructions | No | Custom instructions for tailoring the response (optional) | |
| query | Yes | The query to send to You.com's Smart API |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
web_searchD
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The search query to send to You.com |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
v1.0.0- First observed
news_search - First observed
research - First observed
smart_search - First observed
web_search
TDQS
The tools are highly ambiguous with overlapping purposes, as all four tools appear to perform search-related functions without clear distinctions. Without descriptions, it's impossible to differentiate between 'news_search', 'research', 'smart_search', and 'web_search', making them effectively indistinguishable for an agent.
The naming shows mixed conventions: 'news_search' and 'web_search' follow a consistent noun_verb pattern, but 'research' and 'smart_search' deviate with different structures. While readable, the inconsistency in verb usage and pattern reduces predictability across the set.
With 4 tools, the count is borderline for a search-focused server, as it feels thin but not unreasonable. However, the lack of descriptions makes it hard to assess if this number adequately covers the domain, suggesting potential under-scoping or redundancy.
Inferred as a search server, there are significant gaps in coverage, such as missing filtering, sorting, or result management tools. The surface is severely incomplete for a robust search domain, likely causing agent failures due to limited operational capabilities.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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