|
10 | 10 | "This example aspires to verify the points listed in [POC - AI with Splunk Apps](https://cisco-my.sharepoint.com/:w:/r/personal/hbalacha_cisco_com/Documents/POC%20-%20AI%20with%20Splunk%20Apps.docx?d=w2776e089011943abbd84c0fa30a53f34&csf=1&web=1&e=RxvShR)\n", |
11 | 11 | "\n", |
12 | 12 | "- Develop @tool Decorator\n", |
13 | | - " - [ ] Capture e.g. tool_name, description, inputs, outputs\n" |
14 | | - ] |
15 | | - }, |
16 | | - { |
17 | | - "cell_type": "markdown", |
18 | | - "id": "363201e8", |
19 | | - "metadata": {}, |
20 | | - "source": [ |
21 | | - "- MCP JSONSchema can (and most probably should) be used for tool registration in Splunk" |
22 | | - ] |
23 | | - }, |
24 | | - { |
25 | | - "cell_type": "code", |
26 | | - "execution_count": null, |
27 | | - "id": "c349a502", |
28 | | - "metadata": {}, |
29 | | - "outputs": [], |
30 | | - "source": [ |
31 | | - "from fastmcp import Client\n", |
32 | | - "from mcp.types import Tool\n", |
33 | | - "\n", |
34 | | - "MCP_SERVER_HOST: str = \"0.0.0.0\"\n", |
35 | | - "MCP_SERVER_PORT: int = 2137\n", |
36 | | - "\n", |
37 | | - "\n", |
38 | | - "conn_str = f\"http://{MCP_SERVER_HOST}:{MCP_SERVER_PORT}/mcp\"\n", |
39 | | - "mcp_client = Client(\"./tools.py\")\n", |
40 | | - "\n", |
| 13 | + " - [ ] Capture e.g. tool_name, description, inputs, outputs\n", |
41 | 14 | "\n", |
42 | | - "async def get_tools() -> list[Tool]:\n", |
43 | | - " tools = []\n", |
44 | | - " async with mcp_client:\n", |
45 | | - " tools = await mcp_client.list_tools()\n", |
46 | | - "\n", |
47 | | - " return tools\n", |
48 | | - "\n", |
49 | | - "\n", |
50 | | - "call_tool_result = await get_tools()\n", |
51 | | - "for tool in call_tool_result:\n", |
52 | | - " print(tool.name)\n", |
53 | | - " print(tool.description)\n", |
54 | | - " print(tool.inputSchema)\n", |
55 | | - " print(tool.outputSchema)\n", |
56 | | - " print(tool.meta)" |
57 | | - ] |
58 | | - }, |
59 | | - { |
60 | | - "cell_type": "markdown", |
61 | | - "id": "cd1da846", |
62 | | - "metadata": {}, |
63 | | - "source": [ |
| 15 | + "- MCP JSONSchema can (and most probably should) be used for tool registration in Splunk\n", |
64 | 16 | "- execution_mode (external_http)\n", |
65 | 17 | " - Is this what MCP calls `transports`?\n", |
66 | 18 | "- execution_metadata (endpoint URL)\n", |
|
74 | 26 | "metadata": {}, |
75 | 27 | "outputs": [], |
76 | 28 | "source": [ |
| 29 | + "from fastmcp.client import Client\n", |
| 30 | + "\n", |
77 | 31 | "mcp_client = Client(\"tools.py\")\n", |
78 | 32 | "\n", |
79 | 33 | "\n", |
|
89 | 43 | "\n", |
90 | 44 | "[print(data) for data in call_tool_result.data]\n" |
91 | 45 | ] |
92 | | - }, |
93 | | - { |
94 | | - "cell_type": "markdown", |
95 | | - "id": "2da04c9f", |
96 | | - "metadata": {}, |
97 | | - "source": [ |
98 | | - "- [ ] Support YAML v2 Tool Definition\n", |
99 | | - "- [ ] Merge decorator + YAML for complete metadata\n", |
100 | | - "\n", |
101 | | - "- Implement Post-Install Script (sdk_post_install.py):\n", |
102 | | - " - [ ] Load app modules → decorators populate RegisteredTools\n", |
103 | | - " - [ ] Merge YAML/decorator metadata\n", |
104 | | - " - [ ] Build MCP /tools/register payload\n", |
105 | | - " - [ ] Call MCP registry with credentials (from App Manager)\n", |
106 | | - " - [ ] Log success/fail to MCP audit\n" |
107 | | - ] |
108 | 46 | } |
109 | 47 | ], |
110 | 48 | "metadata": { |
|
0 commit comments