TwilioManager MCP
Twilio 管理器 MCP
用于管理 Twilio 资源的模型上下文协议 (MCP) 实现。此软件包提供了通过标准化 MCP 接口管理 Twilio 子账户、电话号码和监管捆绑包的工具。
特征
列出 Twilio 子账户
获取与子账户关联的电话号码
在子账户之间转移电话号码
获取监管软件包 SID
支持直接通信和服务器发送事件 (SSE) 通信
与 Claude Desktop、Cursor 和其他 MCP 兼容工具集成
Related MCP server: Twilio MCP Server
安装
先决条件
安装 uv
在 macOS 上:
brew install uv在 Windows 上:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"在 Linux 上:
curl -LsSf https://astral.sh/uv/install.sh | sh项目设置
克隆存储库:
git clone https://github.com/yourusername/twilio_manager_mcp.git
cd twilio_manager_mcp使用 uv 安装依赖项:
uv sync配置
使用您的 Twilio 凭据在根目录中创建一个
.env文件:
TWILIO_ACCOUNT_SID=your_account_sid
TWILIO_AUTH_TOKEN=your_auth_token通过创建
.cursor/mcp.json文件为您的工具(Cursor、Claude Desktop 等)配置 MCP:
{
"mcpServers": {
"twilio_manager_mcp_abs": {
"command": "uv",
"args": ["--directory", "/path/to/twilio_manager_mcp", "run", "mcp", "run", "./twilio_manager_mcp.py"],
"env": {
"TWILIO_ACCOUNT_SID": "your_account_sid",
"TWILIO_AUTH_TOKEN": "your_auth_token"
}
},
"twilio_manager_mcp_uvx": {
"command": "uvx",
"args": [ "twilio-manager-mcp" ],
"env": {
"TWILIO_ACCOUNT_SID": "your_account_sid",
"TWILIO_AUTH_TOKEN": "your_auth_token"
}
},
"twilio_manager_mcp_sse": {
"url": "http://localhost:8000/sse"
}
}
}Docker
您可以使用 Docker 运行 Twilio Manager MCP,以便更轻松地部署和管理。
使用 Docker Compose
该项目包括一个 Docker Compose 配置,用于设置:
Twilio Manager MCP 服务
具有自动 HTTPS 的 Traefik 反向代理
在
.env文件中配置环境变量:
# Twilio credentials
TWILIO_ACCOUNT_SID=your_account_sid
TWILIO_AUTH_TOKEN=your_auth_token
# Domain configuration for Traefik
DOMAIN_NAME=yourdomain.com
ACME_EMAIL=user@yourdomain.com
# Address details (optional)
ADDRESS_CUSTOMER_NAME=
ADDRESS_FRIENDLY_NAME=
ADDRESS_STREET=
ADDRESS_CITY=
ADDRESS_REGION=
ADDRESS_POSTAL_CODE=
ADDRESS_ISO_COUNTRY=启动服务:
docker-compose up -d该应用程序将在启用 HTTPS 的配置域中可用。
不使用 Docker Compose 来使用 Docker
如果您只想运行 Twilio Manager MCP 容器而不运行 Traefik:
构建 Docker 镜像:
docker build -t twilio-manager-mcp .运行容器:
docker run -p 8000:8000 \
-e TWILIO_ACCOUNT_SID=your_account_sid \
-e TWILIO_AUTH_TOKEN=your_auth_token \
twilio-manager-mcpSSE 端点将在http://localhost:8000/sse上可用。
用法
使用 Cursor、Claude Desktop 或其他 MCP 兼容工具
您有三种选择来使用此 MCP:
直接 UVX 集成(推荐):
使用
twilio_manager_mcp_uvx配置这是最简单的方法,可以直接使用 uvx
直接紫外线集成:
使用
twilio_manager_mcp_abs配置需要指定安装的完整路径
SSE 服务器:
使用
twilio_manager_mcp_sse配置首先启动SSE服务器:
uvicorn twilio_manager_mcp_sse:app --host 0.0.0.0 --port 8000
可用工具
工具名称 | 描述 |
| 列出所有 Twilio 子账户 |
| 获取特定子账户的电话号码 |
| 在子账户之间转移电话号码 |
| 获取子账户的监管捆绑包 SID |
Cursor/Claude Desktop 中的示例用法
配置完成后,您可以直接在 AI 助手对话中使用这些工具:
列出所有子账户:
# The AI will automatically use the MCP to list all subaccounts
# No need to write code - just ask "List all Twilio subaccounts"获取子账户的电话号码:
# Simply ask: "Show me all phone numbers for subaccount AC..."直接使用 Python
对于直接编程使用:
from mcp import ClientSession
from clients.client import MCPClient
async with MCPClient("uvx", ["twilio-manager-mcp"], env={}) as session:
# List available tools
tools = (await session.list_tools()).tools
# List all subaccounts
subaccounts = await session.invoke("list_twilio_subaccounts")
# Get phone numbers for a subaccount
numbers = await session.invoke("get_account_phone_numbers", {"account_sid": "AC..."})项目结构
twilio_manager_mcp/
├── api/
│ └── async_twilio_api.py # Async Twilio API implementation
├── clients/
│ ├── client.py # Direct MCP client implementation
│ └── client_sse.py # SSE client implementation
├── twilio_manager_mcp.py # Core MCP server implementation
├── twilio_manager_mcp_sse.py # SSE server wrapper
├── requirements.txt # Project dependencies
└── README.md # This file发展
对于开发,您可以使用uv的虚拟环境管理:
# Create a virtual environment
uv venv
# Activate the virtual environment
source .venv/bin/activate # On Unix
.venv\Scripts\activate # On Windows
# Install dependencies in development mode
uv pip install -e .贡献
欢迎贡献代码!欢迎提交 Pull 请求。
执照
MIT 许可证
Available Tools
4 toolsget_account_phone_numbersC
Get all phone numbers associated with a Twilio subaccount
| Name | Required | Description | Default |
|---|---|---|---|
| account_sid | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Get') but doesn't describe what 'Get all phone numbers' entails—e.g., whether it returns a list, includes pagination, requires specific permissions, or has rate limits. This is a significant gap for a tool with no annotation coverage.
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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized, making it easy to parse quickly.
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 lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't address behavioral aspects like return format, error handling, or usage constraints, which are crucial for a tool with one required parameter and no structured guidance.
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 input schema has 0% description coverage, so the description must compensate. It mentions 'account_sid' implicitly but doesn't explain what this parameter represents, its format, or how to obtain it. Without this additional semantic information, the agent lacks context for proper usage.
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 ('Get') and resource ('all phone numbers associated with a Twilio subaccount'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_all_phone_numbers', which might have overlapping functionality, so it doesn't reach the highest score.
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 like 'get_all_phone_numbers' or 'list_twilio_subaccounts'. It lacks context about prerequisites, such as whether the account_sid must be for a subaccount specifically, or any exclusions. This leaves the agent without clear usage instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_all_phone_numbersC
Get all phone numbers associated with a Twilio subaccount
| Name | Required | Description | Default |
|---|---|---|---|
| source_account_sid | Yes | ||
| phone_number_sid | Yes | ||
| target_account_sid | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states a read operation ('Get'), implying it's likely non-destructive, but doesn't disclose behavioral traits such as authentication needs, rate limits, pagination, error handling, or what 'all' entails (e.g., scope, limits). For a tool with 3 required parameters and no annotation coverage, this is a significant gap in transparency.
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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with zero waste, making it easy to parse quickly.
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 (3 required parameters, no annotations, no output schema), the description is incomplete. It lacks details on parameter usage, behavioral context, and output expectations. For a tool that likely involves account and phone number management, more guidance is needed to help an agent use it correctly, especially with sibling tools present.
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 0%, meaning parameters are undocumented in the schema. The description adds no meaning beyond the schema—it doesn't explain what the parameters (source_account_sid, phone_number_sid, target_account_sid) do, why they're required, or how they relate to 'getting all phone numbers'. With 3 required parameters and no compensation in the description, this fails to provide necessary semantic context.
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 action ('Get') and resource ('all phone numbers associated with a Twilio subaccount'), providing specific verb+resource pairing. However, it doesn't explicitly differentiate from sibling tools like 'get_account_phone_numbers' or 'list_twilio_subaccounts', which likely have overlapping functionality. The purpose is clear but lacks sibling distinction.
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. It doesn't mention prerequisites, context for selecting this over siblings like 'get_account_phone_numbers', or any exclusions. Usage is implied by the name and description alone, with no explicit when/when-not instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_regulatory_bundle_sidC
Get the regulatory bundle SID for a Twilio subaccount
| Name | Required | Description | Default |
|---|---|---|---|
| subaccount_sid | Yes |
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 states the action is to 'Get', implying a read operation, but doesn't specify if it requires authentication, rate limits, error conditions, or what the output format might be (e.g., a string SID). This leaves significant gaps in understanding how the tool behaves.
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, clear sentence with no wasted words. It front-loads the key action and resource, making it easy to understand at a glance. Every part of the sentence contributes directly to the tool's purpose.
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 complexity (a read operation with one parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what a 'regulatory bundle SID' is, how it's used, or what the return value looks like, leaving the agent with insufficient context to use the tool effectively.
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 description mentions 'for a Twilio subaccount', which aligns with the single parameter 'subaccount_sid' in the schema. However, schema description coverage is 0%, so the description doesn't add details beyond the parameter's existence, such as format or validation rules. With one parameter and no schema descriptions, the baseline is 3 as it minimally compensates.
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 action ('Get') and the resource ('regulatory bundle SID for a Twilio subaccount'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'list_twilio_subaccounts', which lists subaccounts rather than retrieving a specific bundle SID, but the distinction is implied through the specific resource focus.
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 alternatives. The description lacks context about prerequisites, such as needing a valid subaccount SID, or comparisons to other tools that might handle regulatory data. Usage is implied only by the tool's name and purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_twilio_subaccountsB
List all Twilio subaccounts or filter by friendly name. Provide an empty string for all subaccounts
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
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 describes the basic operation (listing/filtering subaccounts) but lacks details on permissions, rate limits, pagination, or response format. For a tool with zero annotation coverage, this is a significant gap in transparency.
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, efficient sentence that front-loads the main purpose and includes essential details without waste. It's appropriately sized for a simple tool with no parameters, making it easy to understand quickly.
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 low complexity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It covers the basic operation but lacks details on behavioral aspects like response format or error handling. Without annotations or output schema, the description should do more to compensate, but it's minimally viable for this simple case.
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 input schema has 0 parameters with 100% coverage, so no parameters are documented in the schema. The description adds value by explaining that filtering by friendly name is possible and that an empty string returns all subaccounts, which clarifies the tool's behavior beyond the empty schema. Since there are 0 parameters, the baseline is 4, and the description provides useful context.
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's purpose with a specific verb ('List') and resource ('Twilio subaccounts'), and mentions optional filtering by friendly name. However, it doesn't explicitly differentiate this tool from its sibling tools (get_account_phone_numbers, get_all_phone_numbers, get_regulatory_bundle_sid), which appear to be related but distinct operations. The description is clear but lacks sibling differentiation.
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 usage context by mentioning filtering by friendly name and providing an empty string for all subaccounts, but it doesn't explicitly state when to use this tool versus alternatives or any prerequisites. There's no guidance on when not to use it or comparisons with sibling tools, leaving usage somewhat ambiguous.
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.
4 tool updates
v1.0.0- Changed
get_account_phone_numbers1 field changed- added
Input schema / titleAdded value: +"get_account_phone_numbers_for_subaccountArguments"
- Changed
get_all_phone_numbers1 field changed- added
Input schema / titleAdded value: +"transfer_phone_numberArguments"
- Changed
get_regulatory_bundle_sid1 field changed- added
Input schema / titleAdded value: +"get_regulatory_bundle_sidArguments"
- Changed
list_twilio_subaccounts1 field changed- added
Input schema / titleAdded value: +"list_all_twilio_subaccountsArguments"
4 tool updates
- First observed
get_account_phone_numbers - First observed
get_all_phone_numbers - First observed
get_regulatory_bundle_sid - First observed
list_twilio_subaccounts
TDQS
Scored across 4 tools
Two tools have nearly identical purposes: 'get_account_phone_numbers' and 'get_all_phone_numbers' both retrieve phone numbers for Twilio subaccounts, creating clear ambiguity. The other two tools target distinct resources (regulatory bundles and subaccounts), but the overlap between the first two tools is significant and likely to cause misselection.
All tools follow a consistent verb_noun pattern (e.g., get_account_phone_numbers, list_twilio_subaccounts) with clear, descriptive names. The naming style is uniform across the set, making it easy to parse and understand the actions and targets.
With only 4 tools, the count feels thin for a server named 'TwilioManager MCP', which suggests broader Twilio API management. This limited set may not cover essential operations like sending messages, managing calls, or updating resources, making it borderline for the implied scope.
The tool surface is severely incomplete for Twilio management, lacking core functionalities such as sending SMS, making calls, or updating subaccounts. It focuses narrowly on retrieval operations (get/list) without create, update, or delete capabilities, leading to significant gaps that will hinder agent workflows.
Maintenance
Related MCP Connectors
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
Enable secure connectivity between Sentry issues and debugging data, and LLM clients, using a Model Context Protocol (MCP) server.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP (Model Context Protocol) server that lets users send SMS messages through Twilio API directly from Claude Desktop via natural language commands.14 npm5MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables Claude and other AI assistants to send SMS and MMS messages using Twilio.15 npm15MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI assistants like Claude to initiate and manage real-time voice calls using Twilio and OpenAI's voice models.62MIT
- AlicenseNot gradedqualityFmaintenanceAn implementation of the Model Context Protocol (MCP) server that exposes Twilio APIs to AI assistants and tools, allowing them to interact with Twilio services through the MCP protocol.112MIT