
Box MCP Server Integration
The Box MCP Server enables seamless integration of FlowHunt with Box, allowing AI-powered workflows to search, analyze, manage, and automate document operations...
Integrate your AI assistants with databases, APIs, and other services using the Inbox Zero MCP Server for streamlined, context-aware workflows.
The Inbox Zero MCP (Model Context Protocol) Server is designed as an integration layer that connects AI assistants with external data sources, APIs, and services to streamline development workflows. By acting as an intermediary, it enables AI clients to perform tasks such as querying databases, managing files, or interacting with APIs, all within a standardized protocol. This enhances productivity by allowing developers to build and automate workflows that utilize both AI and external resources efficiently. The Inbox Zero MCP Server thus empowers AI assistants to provide more context-aware, actionable, and dynamic responses, making it an essential tool for augmenting development environments with real-time data and automation capabilities.
No prompt templates were found in the provided repository files or documentation.
No explicit resources were documented in the provided repository files or documentation.
No tools were documented in server.py
or other relevant files found in the repository.
No specific use cases were described or documented in the provided repository files.
{
"mcpServers": {
"inbox-zero": {
"command": "npx",
"args": ["@inbox-zero/mcp-server@latest"]
}
}
}
{
"mcpServers": {
"inbox-zero": {
"command": "npx",
"args": ["@inbox-zero/mcp-server@latest"]
}
}
}
{
"mcpServers": {
"inbox-zero": {
"command": "npx",
"args": ["@inbox-zero/mcp-server@latest"]
}
}
}
{
"mcpServers": {
"inbox-zero": {
"command": "npx",
"args": ["@inbox-zero/mcp-server@latest"]
}
}
}
To secure API keys, use environment variables in your configuration:
{
"mcpServers": {
"inbox-zero": {
"command": "npx",
"args": ["@inbox-zero/mcp-server@latest"],
"env": {
"API_KEY": "${INBOX_ZERO_API_KEY}"
},
"inputs": {
"apiKey": "${INBOX_ZERO_API_KEY}"
}
}
}
}
Replace INBOX_ZERO_API_KEY
with your environment variable name.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"inbox-zero": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “inbox-zero” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | None found |
List of Resources | ⛔ | None found |
List of Tools | ⛔ | None found |
Securing API Keys | ✅ | Example provided |
Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Based on the available information, the Inbox Zero MCP Server’s repository provides minimal documentation and no specifics on prompts, resources, or tools. The setup instructions are generic. Therefore, the MCP’s utility and maturity cannot be fully assessed. I would rate this MCP server a 3/10 for documentation and discoverability based on these tables.
Has a LICENSE | ⛔ |
---|---|
Has at least one tool | ⛔ |
Number of Forks | ? |
Number of Stars | ? |
The Inbox Zero MCP Server is an integration layer that enables AI assistants to connect with external data sources, APIs, and services. It standardizes communication, allowing for automation and context-aware workflows within development environments.
You need Node.js installed. Then, add the Inbox Zero MCP Server configuration to your preferred client's configuration file (such as Windsurf, Claude, Cursor, or Cline) using the provided JSON snippet. Save and restart your client to complete setup.
Use environment variables in your configuration file. For example, set your API key as an environment variable and reference it in the MCP server's config, ensuring sensitive data is not hardcoded.
It enables AI clients to query databases, manage files, interact with APIs, and automate workflows by acting as a bridge between the AI and external systems using a standardized protocol.
Currently, the server repository provides minimal documentation and no specific prompt templates, resources, or tool descriptions.
Add the MCP component to your flow, open its configuration, and insert your MCP server details. This allows your AI agent to access all the MCP server's functions within your automated workflows.
Empower your AI workflows with seamless integration to external resources and APIs. Try the Inbox Zero MCP Server in FlowHunt today.
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