io.github.JunHwan-Kwon/deepbom
DEEPBOM
io.github.JunHwan-Kwon/deepbom costs 3 639 tokens of context per session. It has 7 tool definitions. That is 1.8 % of a 200k window. Measured 2026-10-03.
Browser-local and CLI static evidence for deployed AI model artifacts.
alive probed 2026-10-03 · HTTP 200
7tools
3.6ktokens for the tool definitions
1.8 %of a 200k context window
627 msto initialize
555 msto list tools
- Endpoint
- https://deepbom.org/mcp (streamable-http)
- Host
- deepbom.org
- Protocol
- 2025-11-25
- Reports itself as
- deepbom-chatgpt 2.0.0
- Capabilities
- resources, tools
- Instructions
- 1 895 characters
- Repository
- https://github.com/JunHwan-Kwon/deepbom
- Website
- https://deepbom.org
- Registry
- active, updated 2026-09-29 · registry entry
- Reachable
- 2 of the last 2 probes
Most expensive tools
| Tool | Tokens | Share of this server |
|---|---|---|
| deepbom_publish_analysis | 1 334 | 37 % |
| deepbom_publish_query | 858 | 24 % |
| deepbom_query_file | 684 | 19 % |
| deepbom_workflow_guide | 262 | 7 % |
| deepbom_analyze_file | 241 | 7 % |
History
We add a row when the result changes. A server with no change keeps its last row.
| Probed | Result | Init | Tools | Tokens |
|---|---|---|---|---|
| 2026-10-03 20:35 | alive | 627 ms | 7 | 3.6k |
| 2026-10-03 17:52 | alive | 216 ms | 7 | 3.6k |
Badge
[](https://mcp-pulse.ulehla.dev/s/io.github.JunHwan-Kwon/deepbom)