
Model Context Protocol (MCP) Server
The Model Context Protocol (MCP) Server bridges AI assistants with external data sources, APIs, and services, enabling streamlined integration of complex workfl...
Connect AI agents to ServiceNow for streamlined IT service management, data access, and automated workflows with FlowHunt’s ServiceNow MCP Server.
The ServiceNow MCP Server is a Model Completion Protocol (MCP) server implementation designed to bridge AI assistants, such as Claude, with ServiceNow instances. This server allows AI models to connect directly to ServiceNow, enabling them to retrieve data and perform various actions through the ServiceNow API. By facilitating this connection, the ServiceNow MCP Server empowers developers and teams to automate workflows, manage IT service requests, and interact programmatically with ServiceNow resources, leading to more efficient development and operations. It acts as a crucial integration layer, making it easier for AI agents to access, query, and manipulate ServiceNow data as part of broader development or business workflows.
No prompt templates are explicitly listed in the repository or documentation.
No specific MCP resources are described in the repository or documentation.
No explicit tools are documented in the available files or README.
mcpServers
object:{
"servicenow-mcp": {
"command": "npx",
"args": ["@osomai/servicenow-mcp@latest"]
}
}
{
"servicenow-mcp": {
"command": "npx",
"args": ["@osomai/servicenow-mcp@latest"]
}
}
{
"servicenow-mcp": {
"command": "npx",
"args": ["@osomai/servicenow-mcp@latest"]
}
}
{
"servicenow-mcp": {
"command": "npx",
"args": ["@osomai/servicenow-mcp@latest"]
}
}
Use environment variables to secure your ServiceNow credentials. Example configuration:
{
"servicenow-mcp": {
"command": "npx",
"args": ["@osomai/servicenow-mcp@latest"],
"env": {
"SERVICENOW_INSTANCE": "your-instance",
"SERVICENOW_API_KEY": "${SERVICENOW_API_KEY}"
},
"inputs": {
"apiKey": "${SERVICENOW_API_KEY}"
}
}
}
Replace your-instance
and provide your API key securely in your environment.
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:
{
"servicenow-mcp": {
"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 “servicenow-mcp” to the actual name of your MCP server and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | No prompts found |
List of Resources | ⛔ | No resources found |
List of Tools | ⛔ | No tools described |
Securing API Keys | ✅ | Example in setup instructions |
Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Based on the above tables, the ServiceNow MCP Server provides a minimal but functional integration bridge for ServiceNow, with clear setup instructions and licensing, but lacks detailed documentation on prompts, tools, or resources. I would rate this MCP server a 4/10 for general completeness and developer-friendliness at this stage.
Has a LICENSE | ✅ (MIT) |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 56 |
Number of Stars | 86 |
The ServiceNow MCP Server is a bridge between AI assistants and ServiceNow, enabling direct access to ServiceNow data and APIs for automation, reporting, and workflow management.
You can automate IT ticket creation, incident management, reporting, and initiate workflows in ServiceNow programmatically through your AI flows.
Store sensitive information like your ServiceNow instance and API key as environment variables in your MCP server configuration. For example: { \"servicenow-mcp\": { \"command\": \"npx\", \"args\": [\"@osomai/servicenow-mcp@latest\"], \"env\": { \"SERVICENOW_INSTANCE\": \"your-instance\", \"SERVICENOW_API_KEY\": \"${SERVICENOW_API_KEY}\" }, \"inputs\": { \"apiKey\": \"${SERVICENOW_API_KEY}\" } } }
No explicit prompt templates or tools are provided in the official repository or documentation.
Add the MCP component in your FlowHunt workflow, configure it with your ServiceNow MCP details, and connect it to your AI agent for automated ServiceNow operations.
Automate IT requests, reporting, and workflows by integrating FlowHunt’s ServiceNow MCP Server into your custom AI flows.
The Model Context Protocol (MCP) Server bridges AI assistants with external data sources, APIs, and services, enabling streamlined integration of complex workfl...
The ModelContextProtocol (MCP) Server acts as a bridge between AI agents and external data sources, APIs, and services, enabling FlowHunt users to build context...
The Momento MCP Server bridges AI assistants with Momento Cache, providing efficient cache operations via MCP tools for real-time data retrieval, cache manageme...