Skip to main content
Glama

Achromat MOM

Server Details

Recall and calibrate agent tool calls against verified policy lessons from Achromat MOM.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
Repository
achromat-ai/achromat-mcp-server
GitHub Stars
0
Server Listing
Achromat MCP server

TDQS

Score is being calculated.

Available Tools

1 tool
achromat_recallRecall a verified compliant tool call (sandbox preview)
Read-onlyIdempotent
Inspect

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.

ParametersJSON Schema
NameRequiredDescriptionDefault
domainYesThe area the tool call belongs to.
argumentsYesREQUIRED. The arguments you intend to send to the tool, as a non-empty JSON object, using the key names the tool really uses. Only the names of the keys (and their nesting) are used for semantic matching, never the values, so the real key names make a recall find the right lesson; an invented or generic shape finds the wrong one or none. Never put secrets or credentials in it.
tool_nameYesThe exact name of the tool you are about to call, for example dispatch_wire.
task_descriptionYesWhat you are trying to do, in plain words, as you would write a ticket title (16 to 1000 characters). Name the concrete action and object. Leave out amounts, identifiers, dates and personal data. Use the same wording for the same task every time.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedachromat_recall

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    A
    maintenance
    Enables AI agents to persistently recall, apply, and reinforce solutions to previously solved problems across different models and tools, so mistakes are not repeated.
    14
    7 npm
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides coding agents with durable, cross-session lessons-learned memory, enforcing that success or failure verdicts can only come from human approval, human correction, or objective metrics—never from the agent itself.
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides AI-assisted judgment calibration by surfacing counterexamples, boundaries, and blind spots from a local knowledge base before acting on model answers.
    -
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.