MCP-Bocha
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., "@MCP-Bochasearch for latest AI news from the past week, summarize results"
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.
mcp-bocha
A Model Context Protocol (MCP) server that provides web search capabilities to AI agents using the Bocha API.
Introduction
MCP-Bocha is a tool that exposes Bocha AI's web search API capabilities through the Model Context Protocol. It allows AI assistants to search the web programmatically, enabling tasks such as information retrieval, research, and up-to-date data collection.
Related MCP server: SearXNG MCP Server
Tools
Tool Name | Description | Parameters |
| Search the web for information |
|
Usage
{
"mcpServers": {
"mcp-bocha": {
"command": "npx",
"args": ["-y", "@humansean/mcp-bocha"],
"env": {
"BOCHA_API_KEY": "YOUR_API_KEY"
}
}
}
}License
Apache-2.0 license
Available Tools
1 toolmcp-bocha_searchC
Search the web for information
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | ||
| exclude | No | ||
| freshness | No | ||
| include | No | ||
| query | Yes | ||
| summary | No |
TDQS
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 only states the action ('Search the web for information') without revealing any behavioral traits such as rate limits, authentication needs, output format, pagination, or error handling. This is inadequate for a tool with 6 parameters and no output schema.
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?
The description is extremely concise at 4 words, with no wasted language. It's front-loaded and to the point, making it easy to parse quickly. Every word earns its place by conveying the core action, though it sacrifices detail for brevity.
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?
Given the complexity (6 parameters, 0% schema coverage, no annotations, no output schema), the description is incomplete. It doesn't explain what the tool returns, how results are structured, or any behavioral aspects. For a search tool with multiple filtering options, this minimal description leaves critical gaps in understanding how to effectively use it.
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?
The schema description coverage is 0%, meaning none of the 6 parameters are documented in the schema. The description adds no meaning beyond the schema—it doesn't explain what parameters like 'count', 'freshness', or 'summary' do, nor does it clarify the purpose of arrays like 'include' and 'exclude'. With 0% coverage, the description fails to compensate for the lack of schema documentation.
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?
The description 'Search the web for information' clearly states the verb ('Search') and resource ('the web'), making the purpose understandable. However, it's vague about what kind of information is searched (e.g., general web pages, specific content types) and doesn't differentiate from siblings (though none exist). It's not tautological but lacks specificity beyond basic action.
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?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It simply states what it does without context for application. Since there are no sibling tools, this is less critical, but it still lacks any usage context or exclusions.
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.
1 tool update
v1.0.0- First observed
mcp-bocha_search
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'mcp-bocha_search' has a clear and distinct purpose of searching the web for information, leaving no room for confusion or misselection.
The naming is perfectly consistent as there is only one tool. It follows a clear verb_noun pattern ('search' as the verb and implied 'web' as the noun), and with no other tools to compare against, there is no inconsistency in naming conventions.
A single tool is too few for most server purposes, as it typically feels thin and limits functionality. While a search tool can be useful, the server's scope appears narrow with only one operation, which may not cover the full domain of web search or related tasks adequately.
The tool surface is severely incomplete for a web search domain. It only provides a search function without any complementary tools for refining results, accessing cached pages, or handling different search types (e.g., images, news). This creates significant gaps that could lead to agent failures in more complex tasks.
Maintenance
Resources
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Related MCP Connectors
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Docs: https://docs.keenable.ai/mcp-server Keenable is a free, remote MCP server that gives agents access to the web index. Search the web with ranked results and date/site filters, then fetch any indexed page as clean markdown. Works out of the box with no account or API key.
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- AlicenseBqualityCmaintenanceA Model Context Protocol server that enables AI assistants to perform real-time web searches, retrieving up-to-date information from the internet via a Crawler API.16240ISC
- AlicenseAqualityBmaintenanceA Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.516MIT
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