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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
x-connect-tokenYesYour Synapse Layer connect token (e.g. sk_connect_YOUR_TOKEN), used for header-first authentication. Get your token at https://forge.synapselayer.org → Dashboard → Connect.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
recallA

Retrieve relevant persisted memory using semantic, temporal, priority, or hybrid routing. Governance: requires reason (10–200 chars). Rate limit: 20/min.

save_to_synapseA

Persist memory with encryption at rest, sanitization, and deduplication controls.

process_textA

Extract candidate memories from free-form text with governance filters and sanitization.

searchA

Search persisted memory across agent scopes using full-text matching. Governance: requires reason (10–200 chars) because results contain plaintext content.

health_checkA

Check service availability, engine version, and storage health. Public method.

initialize_contextA

Initialize a persistent memory context for a conversation or agent session. Returns REDACTED metadata by default (detail="summary"). Use detail="full" with a reason (10–200 chars) to retrieve plaintext content under MEMORY_EXPORT_GOVERNANCE_V1.

save_memoryC

Save a memory entry to the persistent store. Alias of save_to_synapse.

store_memoryB

Store structured memory with metadata and trust scoring.

recall_memoryA

Recall persisted memory by query. Alias of recall.

list_memoriesA

List memory metadata with pagination and governance limits.

memory_feedbackA

Submit feedback to adjust trust scoring for stored memories.

neural_handoverA

Transfer contextual state between agents with continuity controls.

slo_reportB

Return uptime and SLO metrics for the MCP service.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 13 tools

Disambiguation3/5

There is overlap between `save_memory` and `save_to_synapse` (aliases), and `recall_memory` and `recall` (aliases), which creates ambiguity. `save_to_synapse` and `store_memory` also have very similar purposes, potentially causing misselection.

Naming Consistency3/5

Most tools use a verb_noun pattern (e.g., list_memories, save_memory, recall_memory), but `neural_handover` breaks this pattern by using an adjective_noun. `slo_report` is a contraction that doesn't follow the strict verb_noun structure, introducing inconsistency.

Tool Count4/5

With 13 tools, the count is within the well-scoped range (3-15). The presence of aliases inflates the number slightly, but otherwise, each non-alias tool serves a distinct purpose, making the count appropriate.

Completeness4/5

The tool surface covers core CRUD operations (save, recall, list, search) and lifecycle operations (initialize, feedback, handover). Minor gaps exist, such as missing explicit update or delete tools for memories, but the domain coverage is generally strong.

Maintenance

ActivityMaintained
ResponsivenessWithin a week