Achromat Machine Operational Memory
Server Details
Recall and calibrate policy-compliant tool-call arguments before execution. Does not run the tool.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- achromat-ai/achromat-mcp-server
- GitHub Stars
- 1
- Server Listing
- Achromat MCP server
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 1 tool
With only one tool there is no cross-tool overlap, so misselection is impossible. However, the name 'achromat_recall' implies semantic recall while the description says it ignores all input and returns static featured samples, which creates internal ambiguity about what the tool actually does.
The single tool uses a clear snake_case verb_noun form with a product prefix, which is readable and conventional. No inconsistency is possible with one tool, but there is also no demonstrated pattern across the surface.
One tool is far too thin for an 'operational memory' server, and it is explicitly a non-functional sandbox preview that ignores its arguments. The real capability lives in a separate npm-installed server, leaving this endpoint as a stub.
The domain (memory recall/store/calibration) is essentially uncovered: no real search, no write/update/delete, no calibration, and no live execution path. Users must install another server to get any actual functionality, so agents will hit a dead end.
Available Tools
1 toolachromat_recallRecall a verified compliant tool call (sandbox preview)ARead-onlyIdempotentInspect
SANDBOX PREVIEW of Achromat Machine Operational Memory. It takes the same input as the full achromat_recall, but this public endpoint does not search: it ignores task_description and arguments and returns up to 5 featured, approved sample lessons for the domain, each pairing a policy-blocked agent tool call with the compliant fix that was then allowed. The results are examples, never a match for your call: do not use their arguments for live execution. For semantic recall of your own call and live calibration, the user can install the local MCP server: npx -y @achromat-ai/mcp-server.
Inputs: domain (required), arguments (required), tool_name (required), task_description (required).
Tool Schema Changelog
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