synaptic-memory
PyPI
v0.27.0
Published by plateerlab — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
Knowledge graph + MCP tool server for LLM agents — 3rd-gen retrieval, graph-aware multi-turn exploration, structured data tools, DB→ontology one-liner.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Tool "knowledge_unlink" can write, overwrite or delete files (keyword "unlink" in tool name). Verify it is scoped to a safe directory.
Fix: Constrain file operations to an explicit, non-sensitive root; reject path traversal.
Location: tool knowledge_unlink
Tool "knowledge_unlink" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.
Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.
Location: tool knowledge_unlink
Each tool and what it can reach — statically extracted from the published source.
knowledge_unlinkwrites filesagent_aggregate_nodesno sensitive capabilityagent_compare_searchno sensitive capabilityagent_countno sensitive capabilityagent_deep_searchno sensitive capabilityagent_expandno sensitive capabilityagent_explore_contextno sensitive capabilityagent_filter_nodesno sensitive capabilityagent_find_similarno sensitive capabilityagent_followno sensitive capabilityagent_get_documentno sensitive capabilityagent_get_reasoning_chainno sensitive capabilityagent_join_relatedno sensitive capabilityagent_list_categoriesno sensitive capabilityagent_log_actionno sensitive capabilityagent_record_decisionno sensitive capabilityagent_record_outcomeno sensitive capabilityagent_searchno sensitive capabilityagent_search_exactno sensitive capabilityagent_session_infono sensitive capabilityagent_start_sessionno sensitive capabilityagent_top_nodesno sensitive capabilityknowledge_addno sensitive capabilityknowledge_add_chunksno sensitive capabilityknowledge_add_documentno sensitive capabilityknowledge_add_tableno sensitive capabilityknowledge_backfillno sensitive capabilityknowledge_consolidateno sensitive capabilityknowledge_exportno sensitive capabilityknowledge_ingest_pathno sensitive capabilityknowledge_linkno sensitive capabilityknowledge_merge_nodesno sensitive capabilityknowledge_reinforceno sensitive capabilityknowledge_removeno sensitive capabilityknowledge_searchno sensitive capabilityknowledge_snapshotno sensitive capabilityknowledge_statsno sensitive capabilityknowledge_sync_from_databaseno sensitive capabilityknowledge_updateno sensitive capabilityknowledge_update_edgeno sensitive capabilityontology_define_typeno sensitive capabilityontology_query_schemano sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.27.0 latest |
A 96/100 | 2 | 1.13.0 | 2026-08-25 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan synaptic-memory --online --registry pypi
MCP server for 2s.io — 575+ pay-per-call tools for AI agents — ground-truth data, AI gateway, and agent infra (storage, locks, queues, watchers). x402 USDC on Base/Solana, no API keys, upto usage billing, free trials.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Add MCP servers to your favorite coding agents with a single command.
Help agents automatically write and test stories for your UI components
Model Context Protocol server for AI-Archive platform - enables AI agents to discover, submit, and review research papers
MCP server for Semantic Scholar research workflows with stdio and Streamable HTTP transports.