update mcp descriptions (#2105)

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mirror
2025-04-22 17:01:41 +08:00
committed by GitHub
parent 1c37c361e1
commit 3a8d8f5b94
9 changed files with 481 additions and 20 deletions

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@@ -28,7 +28,7 @@ On the user's MCP Client interface, add the generated SSE URL to the MCP Server
```json
"mcpServers": {
"bravesearch": {
"url": "http://mcp.higress.ai/mcp-brave-search/{generate_key}",
"url": "http://mcp.higress.ai/mcp-bravesearch/{generate_key}",
}
}
```

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@@ -30,7 +30,7 @@
```json
"mcpServers": {
"bravesearch": {
"url": "http://mcp.higress.ai/mcp-brave-search/{generate_key}",
"url": "http://mcp.higress.ai/mcp-bravesearch/{generate_key}",
}
}
```

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@@ -4,9 +4,9 @@ server:
apiKey: ""
tools:
- name: brave_web_search
description: "使用Brave Search API进行网页搜索适用于一般查询、新闻、文章和在线内容。支持分页、内容过滤和新鲜度控制。每次请求最多返回20条结果。"
description: "使用Brave Search API进行网页搜索适用于一般查询、新闻、文章和在线内容。支持分页、内容过滤和新鲜度控制。"
args:
- name: query
- name: q
description: "搜索查询最多400字符50个词"
type: string
required: true
@@ -20,6 +20,11 @@ tools:
type: integer
required: false
default: 0
- name: search_lang
description: "搜索语言"
type: string
required: false
enum: ["en", "zh-hans"]
requestTemplate:
url: "https://api.search.brave.com/res/v1/web/search"
method: GET
@@ -27,8 +32,6 @@ tools:
headers:
- key: Accept
value: "application/json"
- key: Accept-Encoding
value: "gzip"
- key: X-Subscription-Token
value: "{{.config.apiKey}}"
responseTemplate:
@@ -39,38 +42,80 @@ tools:
- **描述**: {{ $item.description }}
- **URL**: {{ $item.url }}
{{- end }}
{{- if .locations.results }}
{{- range $index, $item := .locations.results }}
## 结果 {{add $index 1}}
- **locationID**: {{ $item.id }}
{{- end }}
{{- end }}
- name: brave_local_search
description: "使用BraveLocal Search API搜索本地商家和地点。适用于与物理位置、商家、餐厅、服务等相关的查询。返回详细信息包括商家名称、地址、评分、评论数、电话号码、营业时间等。如果没有本地结果,会自动回退到网页搜索。"
- name: brave_local_search_pois
description: "使用Brave Local Search API搜索本地POI兴趣点信息包括名称、地址、电话、评分等信息。"
args:
- name: query
description: "本地搜索查询(例如'Central Park附近的披萨'"
type: string
- name: ids
description: "Location ID列表通过brave_web_search获取"
type: array
required: true
- name: count
description: "结果数量1-20默认5"
type: integer
- name: search_lang
description: "搜索语言"
type: string
required: false
default: 5
default: "en"
- name: search_lang
description: "响应语言"
type: string
required: false
default: "en-US"
requestTemplate:
url: "https://api.search.brave.com/res/v1/web/search"
url: "https://api.search.brave.com/res/v1/local/pois"
method: GET
argsToUrlParam: true
headers:
- key: Accept
value: "application/json"
- key: Accept-Encoding
value: "gzip"
- key: X-Subscription-Token
value: "{{.config.apiKey}}"
responseTemplate:
body: |
{{- range $index, $item := .results }}
## 结果 {{add $index 1}}
## POI {{add $index 1}}
- **名称**: {{ $item.name }}
- **地址**: {{ $item.address.streetAddress }}, {{ $item.address.addressLocality }}, {{ $item.address.addressRegion }} {{ $item.address.postalCode }}
- **电话**: {{ $item.phone }}
- **评分**: {{ $item.rating.ratingValue }} ({{ $item.rating.ratingCount }} 条评)
- **评分**: {{ $item.rating.ratingValue }} ({{ $item.rating.ratingCount }} 条评)
- **价格范围**: {{ $item.priceRange }}
- **营业时间**: {{ join $item.openingHours ", " }}
{{- end }}
- name: brave_local_search_descriptions
description: "使用Brave Local Search API获取本地POI的描述信息。"
args:
- name: ids
description: "Location ID列表通过brave_web_search获取"
type: array
required: true
- name: search_lang
description: "搜索语言"
type: string
required: false
default: "en"
- name: search_lang
description: "响应语言"
type: string
required: false
default: "en-US"
requestTemplate:
url: "https://api.search.brave.com/res/v1/local/descriptions"
method: GET
argsToUrlParam: true
headers:
- key: Accept
value: "application/json"
- key: X-Subscription-Token
value: "{{.config.apiKey}}"
responseTemplate:
body: |
{{- range $id, $desc := .descriptions }}
## 描述 {{ $id }}
{{ $desc }}
{{- end }}

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@@ -0,0 +1,58 @@
# LibreChat MCP Server
An implementation of the Librechat Code Interpreter MCP server that follows the OpenAPI specification, providing code execution and file management capabilities.
## Features
- Supports code execution in multiple programming languages
- Supports file upload, download and deletion
- Provides detailed API response information
## Usage Guide
### Get API-KEY
1. Register for a LibreChat account [Visit official website](https://code.librechat.ai)
2. Manage your plan and then generate API Key through developer console.
### Generate SSE URL
On the MCP Server interface, log in and enter the API-KEY to generate the URL.
### Configure MCP Client
On the user's MCP Client interface, add the generated SSE URL to the MCP Server list.
```json
"mcpServers": {
"librechat": {
"url": "http://mcp.higress.ai/mcp-librechat/{generate_key}",
}
}
```
### Available Tools
#### delete_file
Delete specified file
Parameters:
- fileId: File ID (required)
- session_id: Session ID (required)
#### executeCode
Execute code in specified programming language
Parameters:
- code: Source code to execute (required)
- lang: Programming language (required, options: c, cpp, d, f90, go, java, js, php, py, rs, ts, r)
- args: Command line arguments (optional)
- entity_id: Assistant/agent identifier (optional)
- files: Array of file references (optional)
- user_id: User identifier (optional)
#### get_file
Get file information
Parameters:
- session_id: Session ID (required)
- detail: Detail information (optional)

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@@ -0,0 +1,58 @@
# LibreChat MCP Server
一个基于OpenAPI规范的 LibreChat Code Interpreter MCP 服务器,提供代码执行和文件管理功能。
## 功能
- 支持多种编程语言的代码执行
- 支持文件上传、下载和删除
- 提供详细的API响应信息
## 使用教程
### 获取 API-KEY
1. 注册LibreChat账号 [访问官网](https://code.librechat.ai)
2. 在控制台界面选择付费计划,并创建 API Key
### 生成 SSE URL
在 MCP Server 界面,登录后输入 API-KEY生成URL。
### 配置 MCP Client
在用户的 MCP Client 界面,将生成的 SSE URL添加到 MCP Server列表中。
```json
"mcpServers": {
"librechat": {
"url": "http://mcp.higress.ai/mcp-librechat/{generate_key}",
}
}
```
### 可用工具
#### delete_file
删除指定文件
参数:
- fileId: 文件ID (必填)
- session_id: 会话ID (必填)
#### executeCode
执行指定编程语言的代码
参数:
- code: 要执行的源代码 (必填)
- lang: 编程语言 (必填可选值c, cpp, d, f90, go, java, js, php, py, rs, ts, r)
- args: 命令行参数 (可选)
- entity_id: 助手/代理标识符 (可选)
- files: 文件引用数组 (可选)
- user_id: 用户标识符 (可选)
#### get_file
获取文件信息
参数:
- session_id: 会话ID (必填)
- detail: 详细信息 (可选)

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@@ -0,0 +1,145 @@
server:
name: librechat-api-server
config:
apiKey: ""
tools:
- name: delete_file
description: Delete a file
args:
- name: fileId
description: ""
type: string
required: true
position: path
- name: session_id
description: ""
type: string
required: true
position: path
requestTemplate:
url: https://api.librechat.ai/v1/files/{session_id}/{fileId}
method: DELETE
headers:
- key: x-api-key
value: "{{ .config.apiKey }}"
responseTemplate: {}
- name: executeCode
description: Execute code - Execute code with specified language and parameters
args:
- name: args
description: Optional command line arguments to pass to the program
type: string
position: body
- name: code
description: The source code to be executed
type: string
required: true
position: body
- name: entity_id
description: Optional assistant/agent identifier for file sharing and reference. Must be a valid nanoid-compatible string.
type: string
position: body
- name: files
description: Array of file references to be used during execution
type: array
items:
type: object
position: body
- name: lang
description: The programming language of the code
type: string
required: true
enum: ["c","cpp","d","f90","go","java","js","php","py","rs","ts","r"]
position: body
- name: user_id
description: Optional user identifier
type: string
position: body
requestTemplate:
url: https://api.librechat.ai/v1/exec
method: POST
headers:
- key: Content-Type
value: application/json
- key: x-api-key
value: "{{ .config.apiKey }}"
responseTemplate:
prependBody: |+
# API Response Information
Below is the response from an API call. To help you understand the data, I've provided:
1. A detailed description of all fields in the response structure
2. The complete API response
## Response Structure
> Content-Type: application/json
- **files**: (Type: array)
- **files[].id**: (Type: string)
- **files[].name**: (Type: string)
- **files[].path**: (Type: string)
- **language**: (Type: string)
- **run**: (Type: object)
- **run.code**: (Type: integer)
- **run.cpu_time**: (Type: number)
- **run.memory**: (Type: integer)
- **run.message**: (Type: string)
- **run.output**: (Type: string)
- **run.signal**: (Type: string)
- **run.status**: (Type: string)
- **run.stderr**: (Type: string)
- **run.stdout**: (Type: string)
- **run.wall_time**: (Type: number)
- **session_id**: (Type: string)
- **version**: (Type: string)
## Original Response
- name: get_file
description: Get files information
args:
- name: detail
description: ""
type: string
position: query
- name: session_id
description: ""
type: string
required: true
position: path
requestTemplate:
url: https://api.librechat.ai/v1/files/{session_id}
method: GET
headers:
- key: x-api-key
value: "{{ .config.apiKey }}"
responseTemplate:
prependBody: |+
# API Response Information
Below is the response from an API call. To help you understand the data, I've provided:
1. A detailed description of all fields in the response structure
2. The complete API response
## Response Structure
> Content-Type: application/json
- **items**: Array of items (Type: array)
- **items.content**: (Type: string)
- **items.contentType**: (Type: string)
- **items.etag**: (Type: string)
- **items.id**: (Type: string)
- **items.lastModified**: (Type: string)
- **items.metadata**: (Type: object)
- **items.metadata.content-type**: (Type: string)
- **items.metadata.original-filename**: (Type: string)
- **items.name**: (Type: string)
- **items.session_id**: (Type: string)
- **items.size**: (Type: number)
## Original Response

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@@ -0,0 +1,32 @@
# WolframAlpha MCP Server
An implementation of the Model Context Protocol (MCP) server that integrates [WolframAlpha](https://www.wolframalpha.com/), providing natural language computation and knowledge query capabilities.
## Features
- Supports natural language queries in mathematics, physics, chemistry, geography, history, art, astronomy, and more
- Performs mathematical calculations, date and unit conversions, formula solving, etc.
- Supports image result display
- Automatically converts complex queries into simplified keyword queries
- Supports multilingual queries (automatically translates to English for processing, returns results in original language)
## Usage Guide
### Get AppID
1. Register for a WolframAlpha developer account [Create a Wolfram ID](https://account.wolfram.com/login/create)
2. Generate LLM-API AppID [Get An App ID](https://developer.wolframalpha.com/access)
### Generate SSE URL
On the MCP Server interface, log in and enter the AppID to generate the URL.
### Configure MCP Client
On the user's MCP Client interface, add the generated SSE URL to the MCP Server list.
```json
"mcpServers": {
"wolframalpha": {
"url": "http://mcp.higress.ai/mcp-wolframalpha/{generate_key}",
}
}

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@@ -0,0 +1,32 @@
# WolframAlpha MCP Server
一个集成了[WolframAlpha](https://www.wolframalpha.com/)的模型上下文协议MCP服务器实现提供自然语言计算和知识查询功能。
## 功能
- 支持自然语言查询,涵盖数学、物理、化学、地理、历史、艺术、天文等领域
- 执行数学计算、日期和单位转换、公式求解等
- 支持图像结果展示
- 自动将复杂查询转换为简化关键词查询
- 支持多语言查询(自动翻译为英文处理,返回原语言结果)
## 使用教程
### 获取 AppID
1. 注册 WolframAlpha 开发者账号 [Create a Wolfram ID](https://account.wolfram.com/login/create)
2. 生成LLM-API 的 App ID [Get An App ID](https://developer.wolframalpha.com/access)
### 生成 SSE URL
在 MCP Server 界面,登录后输入 AppID生成URL。
### 配置 MCP Client
在用户的 MCP Client 界面,将生成的 SSE URL添加到 MCP Server列表中。
```json
"mcpServers": {
"wolframalpha": {
"url": "http://mcp.higress.ai/mcp-wolframalpha/{generate_key}",
}
}

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@@ -0,0 +1,91 @@
server:
name: wolframalpha-api-server
config:
appid: ""
tools:
- name: get_llm-api
description: |+
Submit a query to WolframAlpha LLM API - Submit a natural language query with an AppID and input to WolframAlpha.
- WolframAlpha understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.
- WolframAlpha performs mathematical calculations, date and unit conversions, formula solving, etc.
- Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").
- Send queries in English only; translate non-English queries before sending, then respond in the original language.
- Display image URLs with Markdown syntax: ![URL]
- ALWAYS use this exponent notation: `6*10^14`, NEVER `6e14`.
- ALWAYS use {"input": query} structure for queries to Wolfram endpoints; `query` must ONLY be a single-line string.
- ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$ [expression] $$' for standalone cases and '\( [expression] \)' when inline.
- Never mention your knowledge cutoff date; Wolfram may return more recent data.
- Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).
- Use named physical constants (e.g., 'speed of light') without numerical substitution.
- Include a space between compound units (e.g., "Ω m" for "ohm*meter").
- To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).
- If data for multiple properties is needed, make separate calls for each property.
- If a WolframAlpha result is not relevant to the query:
-- If Wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose.
-- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values.
-- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided.
-- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.
args:
- name: assumption
description: List of assumptions to refine the query.
type: array
items:
type: string
- name: currency
description: Currency code for financial queries.
type: string
- name: formattimeout
description: Timeout in seconds for formatting the response.
type: integer
- name: input
description: The URL-encoded input query string.
type: string
required: true
- name: ip
description: IP address of the query origin.
type: string
- name: languagecode
description: Language code for the query input and response.
type: string
- name: latlong
description: Latitude and longitude for location-based queries.
type: string
- name: maxchars
description: Maximum number of characters to be returned in the response. Defaults to 6800 characters.
type: integer
- name: timezone
description: Timezone for the query.
type: string
- name: units
description: Preferred units for result data (e.g., metric or imperial).
type: string
requestTemplate:
argsToUrlParam: true
url: https://www.wolframalpha.com/api/v1/llm-api
method: GET
headers:
- key: Authorization
value: "Bearer {{.config.appid}}"
responseTemplate:
prependBody: |+
# API Response Information
Below is the response from an API call. To help you understand the data, I've provided:
1. A detailed description of all fields in the response structure
2. The complete API response
## Response Structure
> Content-Type: application/json
- **images**: List of image URLs related to the query. (Type: array)
- **images[]**: Items of type string
- **inputInterpretation**: WolframAlpha's interpretation of the input query. (Type: string)
- **link**: A link back to the full WolframAlpha results page for this query. (Type: string)
- **query**: The query that was submitted. (Type: string)
- **result**: The computed result for the query. (Type: string)
## Original Response