为任何 MCP 客户端（例如 Claude）提供 ripgrep（rg）搜索功能的 MCP 服务器。
该服务器为强大的ripgrep搜索工具提供了模型上下文协议 (MCP) 接口。它使 Claude AI 和其他兼容 MCP 的客户端能够在系统上的文件中执行高性能文本搜索。
Related MCP server: MCP Desktop Tools
Node.js（v18 或更高版本）
ripgrep ( rg ) 命令已安装并添加到你的 PATH 中。在 macOS 上使用brew install ripgrep命令安装。
要将此 MCP 服务器与 Claude for Desktop 一起使用：
编辑 Claude for Desktop 配置文件：
macOS： ~/Library/Application Support/Claude/claude_desktop_config.json
Windows： %APPDATA%\Claude\claude_desktop_config.json
将以下内容添加到您的配置中：
{
"mcpServers": {
"ripgrep": {
"command": "npx",
"args": ["-y", "mcp-ripgrep@latest"]
}
}
}将/path/to/mcp-ripgrep替换为您克隆此存储库的绝对路径。
重新启动 Claude 桌面版。
使用 ripgrep 进行基本搜索：
Pattern: error
Path: ./src具有附加选项的更高级搜索：
Pattern: function
Path: ./src
FixedStrings: true
FileType: ts
IncludeHidden: false计算某个模式出现的次数：
Pattern: TODO
Path: ./src
CountLines: true列出将被搜索但不实际搜索的文件：
Path: ./src
FileType: js列出 ripgrep 中支持的所有文件类型。
此 MCP 服务器使用 ripgrep 工具执行 shell 命令。虽然已尽力安全地转义参数，但在输入时请务必谨慎，因为它会在您的计算机上运行命令。
麻省理工学院
Advanced search with ripgrep with more options
| Name | Required | Description | Default |
|---|---|---|---|
| pattern | Yes | The search pattern (regex by default) | |
| path | Yes | Directory or file(s) to search. | |
| caseSensitive | No | Use case sensitive search (default: auto) | |
| fixedStrings | No | Treat pattern as a literal string, not a regex | |
| filePattern | No | Filter by file type or glob | |
| fileType | No | Filter by file type (e.g., js, py) | |
| maxResults | No | Limit the number of matching lines | |
| context | No | Show N lines before and after each match | |
| invertMatch | No | Show lines that don't match the pattern | |
| wordMatch | No | Only show matches surrounded by word boundaries | |
| includeHidden | No | Search in hidden files and directories | |
| followSymlinks | No | Follow symbolic links | |
| showFilenamesOnly | No | Only show filenames of matches, not content | |
| showLineNumbers | No | Show line numbers | |
| useColors | No | Use colors in output (default: false) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden for behavioral disclosure. It mentions ripgrep but does not reveal important traits like performance impact, default behaviors (e.g., case sensitivity auto), or side effects. This is insufficient for a tool with many configuration options.
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 a single concise sentence, front-loading the tool's purpose (advanced search with ripgrep). It is not overly verbose, but could be slightly expanded to include key differentiators without losing conciseness.
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 of 15 parameters and no output schema or annotations, the description is too sparse. It fails to explain the tool's advanced features, return format, or typical usage scenarios, leaving the agent to infer from parameter names alone.
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?
All 15 parameters are described in the schema, achieving 100% coverage. The description adds no additional meaning or context beyond the parameter names and types, meeting the baseline for high schema coverage.
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 states it's an advanced search using ripgrep with more options, clearly indicating the tool's function. However, it does not explicitly differentiate from sibling 'search' beyond implying more features, leaving some ambiguity.
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?
No usage guidance is provided. The description does not indicate when to use this tool over its siblings (count-matches, list-files, list-file-types, search), nor does it mention any prerequisites or restrictions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Count matches in files using ripgrep
| Name | Required | Description | Default |
|---|---|---|---|
| pattern | Yes | The search pattern (regex by default) | |
| path | Yes | Directory or file(s) to search. | |
| caseSensitive | No | Use case sensitive search (default: auto) | |
| filePattern | No | Filter by file type or glob | |
| countLines | No | Count matching lines instead of total matches | |
| useColors | No | Use colors in output (default: false) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states the basic function. It fails to disclose behavioral details such as regex handling, line count vs match count behavior, or output format.
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?
Single sentence, no wasted words. Could benefit from slight expansion to include core purpose, but it is efficient.
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?
For a tool with 6 parameters and no output schema, the description is too minimal. Missing return format, error cases, and how it differs from sibling tools.
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?
Schema coverage is 100%, so baseline is 3. The description adds no additional parameter-level context beyond what the schema already provides.
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 clearly states the tool counts matches in files and names the underlying engine (ripgrep). It distinguishes from siblings like 'search' which likely returns matches rather than counts.
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?
No guidance on when to use this tool versus alternatives like 'search' or 'advanced-search'. No mention of prerequisites, performance considerations, or limitations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List files that would be searched by ripgrep without actually searching them
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | Directory or file(s) to search. | |
| filePattern | No | Filter by file type or glob | |
| fileType | No | Filter by file type (e.g., js, py) | |
| includeHidden | No | Include hidden files and directories |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the key non-searching behavior, but lacks details on other behaviors like symlink handling or .gitignore respect, which would be expected from a ripgrep-based tool.
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 a single sentence that is front-loaded with the key action. Every word serves a purpose with no redundancy.
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 presence of sibling tools and 4 parameters, the description explains the core purpose well but lacks details about output format, filtering nuances, or potential limitations. Adequate but with gaps.
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?
Schema coverage is 100% with each parameter described. The description adds overarching context about ripgrep behavior but does not add significant detail beyond the schema. Baseline score of 3 is appropriate.
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 clearly states the tool lists files that ripgrep would search, with the unique aspect of not actually searching. This distinguishes it from sibling tools like 'search' which perform actual searches.
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 implies use for previewing search scope via 'without actually searching them', but does not explicitly mention when to use alternatives or provide exclusion criteria. Context is clear but lacks direct guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List all supported file types in ripgrep
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It correctly implies a read-only enumeration with no side effects. For a simple list operation, this is transparent enough.
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 a single, well-structured sentence with no extraneous words. It earns its place by being informative yet brief.
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 tool's simplicity (no parameters, no output schema, distinct siblings), the description fully conveys the tool's purpose without needing additional detail.
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 tool has zero parameters, so the baseline is 4. The description adds no parameter info, which is fine since there are none.
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 clearly states the verb 'list' and the resource 'supported file types in ripgrep'. It distinguishes from sibling tools like 'search' and 'list-files' by focusing specifically on file type enumeration.
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?
No guidance is given on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search files for patterns using ripgrep (rg)
| Name | Required | Description | Default |
|---|---|---|---|
| pattern | Yes | The search pattern (regex by default) | |
| path | Yes | Directory or file(s) to search. | |
| caseSensitive | No | Use case sensitive search (default: auto) | |
| filePattern | No | Filter by file type or glob | |
| maxResults | No | Limit the number of matching lines | |
| context | No | Show N lines before and after each match | |
| useColors | No | Use colors in output (default: false) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden but only mentions using ripgrep. It lacks details on side effects, ownership, or output behavior, though search is inherently read-only.
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 very concise with a single sentence, but it lacks structure or front-loading of critical information. Efficient but minimal.
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 7 parameters and no output schema or annotations, the description is insufficient. It does not cover return format, pagination, or limitations, leaving significant gaps for an AI agent.
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?
Schema description coverage is 100%, so the baseline is 3. The description adds no extra parameter information beyond the schema, such as regex syntax or default values.
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 clearly states the tool uses ripgrep to search files, with a direct verb and resource. However, it does not explicitly differentiate from sibling tools like 'advanced-search', leaving some ambiguity.
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?
No guidance is provided on when to use this tool versus siblings such as 'advanced-search' or 'count-matches'. The agent must infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
advanced-searchcount-matcheslist-file-typeslist-filessearchScored across 5 tools
Each tool has a clearly distinct purpose with no ambiguity. 'search' is the basic search, 'advanced-search' adds more options, 'count-matches' focuses on counting, 'list-files' shows files without searching, and 'list-file-types' enumerates file types. The descriptions make it easy to tell them apart.
All tools follow a consistent verb_noun pattern with hyphens (e.g., 'advanced-search', 'count-matches'). The naming is predictable and readable throughout the set, with no deviations in style.
With 5 tools, the server is well-scoped for a ripgrep utility. Each tool earns its place by covering distinct aspects of searching and file listing, avoiding bloat while providing essential functionality.
The tool surface is nearly complete for a ripgrep server, covering search, advanced search, counting, and file listing. A minor gap might be the lack of a tool for managing search contexts or filtering results, but core workflows are well-covered.
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
Search prompts, CLAUDE.md/AGENTS.md templates, Cursor rules, Agent Skills and MCP servers.
Agentic search over your Dewey document collections from any MCP-compatible client.
Search the HeyClaude directory of Claude Code agents, MCP servers, skills, and tools.
