Skills/PyPI/memora-mcp

memora-mcp@0.3.3

CAUTION· not started

Publisher claims: "MCP-compatible memory server backed by SQLite" Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry PyPI (MCP server)Publisher pypi · publishing for 723 daysInstalls 167Last detonated 3d ago

Coverage

Not started: dependency install failed; the server itself was not observed.
Tested
the dependency install step · every file read, file written and host contacted by what ran
Not tested
server startup · the tool list · tool behavior

What this means for the label: Caution here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.

Before you give it your token

It will ask for
CF_API_TOKENCLOUDFLARE_API_TOKENOPENAI_API_KEYConfiguration, not credentials: AWS_ENDPOINT_URL, CF_ACCOUNT_ID, CHAT_MODEL, MEMORA_ALLOW_ANY_TAG, MEMORA_CACHE_DIR, MEMORA_CLOUD_COMPRESS, MEMORA_CLOUD_ENCRYPT, MEMORA_CLOUD_GRAPH_DEBOUNCE, MEMORA_CLOUD_GRAPH_ENABLED, MEMORA_CLOUD_GRAPH_SYNC_SCRIPT, MEMORA_CLOUD_GRAPH_WORKER_URL, MEMORA_DB_PATH, MEMORA_EMBEDDING_BASE_URL, MEMORA_EMBEDDING_MODEL, MEMORA_EMBEDDING_STRICT, MEMORA_HOST, MEMORA_LLM_ENABLED, MEMORA_LLM_MODEL, MEMORA_LLM_TIMEOUT, MEMORA_R2_URI, MEMORA_REWRITE_MODEL, MEMORA_SOURCE_URI, MEMORA_STALE_DAYS, MEMORA_STORAGE_URI, MEMORA_TAG_FILE, MEMORA_TAGS, MEMORA_TRANSPORT, MEMORA_VECTOR_SCAN_PAGE_SIZE, OPENAI_BASE_URL, OPENAI_EMBEDDING_MODEL, R2_PUBLIC_DOMAIN, SENTENCE_TRANSFORMERS_MODEL
Where it talks to
no vendor host named in the codeAlso cloudflare.com, jsdelivr.net, r2.dev — not the publisher's domain; check what for before connecting.
What the honeypot saw
no credential files read · no network
What we could not test
server startup · the tool list · tool behavior

Connect it with a scoped credential, under the guard, and read the third-party hosts first. The code names cloudflare.com, jsdelivr.net, r2.dev as well as its own vendor. The guard injects CF_API_TOKEN, CLOUDFLARE_API_TOKEN, OPENAI_API_KEY only into requests to the host you bind (and its subdomains) and refuses the rest.

$vet-skills run --net declared -- uvx memora-mcp

Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.

Is [email protected] safe to install?

KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; not started: dependency install failed; the server itself was not observed) on 2026-11-11 and scored it 79/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Collapsed <details> block carrying instructions; References a credential file in the home directory; Access to sensitive file paths. Summary: no network, touches nothing outside the project, writes no memory.

Behavior trace

Honeypot run · 0 s · 2 scenarios · 0 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.1sprocessdependency install exit 1 ·
0.1sclaimednot started: dependency install failed (exit 1); the server itself was not observed
0.1sprocessscript backend runs setup only
0.1sprocessno install scripts to re-run

Static findings

HIGH
Collapsed <details> block carrying instructionsREADME.md:489 · Collapsed <details> block carrying instructions<summary><big><big><strong>Memory Insights</strong></big></big></summary> Analyze stored memories and surface actionable insights: ```python # Full analysis witFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.
AST01
HIGH
References a credential file in the home directorymemora/backends.py:76 · References a credential file in the home directory" - AWS credentials file: ~/.aws/credentials\n"Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST03
HIGH
Access to sensitive file pathsmemora/server.py:2814 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files_BLOCKED_PATTERNS = [".ssh", ".gnupg", ".aws", ".config/gcloud", "id_rsa", "id_ed25519", ".env"]Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05
MEDIUM
Python subprocess execution detectedmemora-graph/scripts/sync-to-d1.py:268 · Python subprocess execution detectedresult = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
HIGH
Access to sensitive file pathsmemora/backends.py:76 · Access to sensitive file paths — SSH keys, AWS credentials, env files, or system files" - AWS credentials file: ~/.aws/credentials\n"Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
AST05

Cost to the agent

Instructions loaded
≈47 tok
1 file · 41 in bundle
Tool list per prompt
≈0 tok
0 tools · 0 per tool
Handshake
no reply
launch to tools/list, stdio
Undocumented tools
0
description under 20 chars · avg 0

Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.

Known vulnerabilities

No advisories in OSV for memora-mcp@0.3.3 as of 3d ago. This is the package itself, not its dependencies.

What would make this Verified

1 point to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim pypi: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. Hidden instructions≈ +6 on the totalRemove HTML comments, zero-width characters and white-on-white text that carry instructions. Everything the agent is meant to read should be visible to the person reading the file.
  3. References a credential file in the home directory≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
  4. Access to sensitive file paths≈ +4 on the totalStop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.
  5. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
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