The most comprehensive ServiceNow MCP server — 450+ tools across all modules. Integrates with Claude, ChatGPT, Gemini, Cursor, GitHub Copilot and any
The most comprehensive ServiceNow MCP server — 450+ tools across all modules. Integrates with Claude, ChatGPT, Gemini, Cursor, GitHub Copilot and any LLM. Exposed over MCP by the servicenow mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
style PC fill:#f0f7ff,stroke:#00509E,stroke-width:2px,color:#333,stroke-dasharray: 5 5 style AI fill:#ffffff,stroke:#333,stroke-width:2px,color:#000 style MCP fill:#e6ffe6,stroke:#008000,stroke-width:2px,color:#000 style SN fill:#fff0f0,stroke:#cc0000,stroke-width:2px,color:#000 ```
Everything the assistant can do here goes through one of these:
Cursor — AI エディタWindsurf — AI エディタMCP_TRANSPORT — stdioMCP_HTTP_PORT — 3000MCP_HTTP_HOST — 127.0.0.1MCP_HTTP_PATH — /mcpMCP_HTTP_AUTH_TOKEN — (必須)MCP_HTTP_CORS_ORIGIN — *MCP_HTTP_ALLOWED_HOSTS — (なし)MCP_HTTP_ALLOWED_ORIGINS — (なし)MCP_HTTP_MAX_BODY_BYTES — 1048576MCP_HTTP_MAX_SESSIONS — 100@tedorigawa001/servicenow-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need 8 environment variables: SERVICENOW_INSTANCE_URL, SERVICENOW_OAUTH_CLIENT_ID, SERVICENOW_OAUTH_CLIENT_SECRET, WRITE_ENABLED, SCRIPTING_ENABLED, MCP_HTTP_HOST, MCP_HTTP_AUTH_TOKEN, MCP_HTTP_PATH. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Servicenow's toolset — Cursor, Windsurf, MCP_TRANSPORT and 11 more — is a fair guide to whether it matches your workflow. It is maintained by tedorigawa001; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Cursor | AI エディタ |
| Windsurf | AI エディタ |
| MCP_TRANSPORT | stdio |
| MCP_HTTP_PORT | 3000 |
| MCP_HTTP_HOST | 127.0.0.1 |
| MCP_HTTP_PATH | /mcp |
| MCP_HTTP_AUTH_TOKEN | (必須) |
| MCP_HTTP_CORS_ORIGIN | * |
| MCP_HTTP_ALLOWED_HOSTS | (なし) |
| MCP_HTTP_ALLOWED_ORIGINS | (なし) |
| MCP_HTTP_MAX_BODY_BYTES | 1048576 |
| MCP_HTTP_MAX_SESSIONS | 100 |
| MCP_HTTP_SESSION_IDLE_TIMEOUT_MS | 1800000 |
| full | 管理者 |
{
"mcpServers": {
"servicenow": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "SERVICENOW_INSTANCE_URL=https://yourinstance.service-now.com",
"-e", "SERVICENOW_OAUTH_CLIENT_ID=your_client_id",
"-e", "SERVICENOW_OAUTH_CLIENT_SECRET=your_client_secret",
"-e", "SERVICENOW_OAUTH_USERNAME=service_account_user",
"-e", "SERVICENOW_OAUTH_PASSWORD=service_account_password",
"servicenow-mcp"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| SERVICENOW_INSTANCE_URL | Endpoint or connection string the server talks to. | Yes |
| SERVICENOW_OAUTH_CLIENT_ID | Configuration value read at startup. | Optional |
| SERVICENOW_OAUTH_CLIENT_SECRET | Credential the server authenticates with. | Yes |
| WRITE_ENABLED | Configuration value read at startup. | Optional |
| SCRIPTING_ENABLED | Configuration value read at startup. | Optional |
| MCP_HTTP_HOST | Endpoint or connection string the server talks to. | Optional |
| MCP_HTTP_AUTH_TOKEN | Credential the server authenticates with. | Yes |
| MCP_HTTP_PATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.