Super-Memory-TS (Veedubin/Super-Memory-TS) is an MCP server listed on the M8ven Trust Index. It scores 72 out of 100, grade C. It declares 7 tools. No publisher has claimed this listing.

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C
Caution
72/100

Super-Memory-TS

Local-first semantic memory server with project indexing for AI assistants. It enables AI assistants to store, retrieve, and search memories and project code using embeddings and vector search.

→ Veedubin/Super-Memory-TS· listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

Veedubin

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
⚠️
Known vulnerabilities in dependencies: 1 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
⚠️
Tests do not pass
Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.
✅
7 tools verified — handlers match their declared behaviour
5 read-only tools verified — handlers contain no write/delete/exec
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// tools this server exposes7 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

query_memories

Query memories using semantic similarity. Returns memories most relevant to the query.

add_memory

Add a new memory entry to the memory store.

search_project

Search the indexed project files for relevant code or content.

index_project

Trigger project indexing. Scans and indexes all supported files in the project. Use background=true for large directories to avoid MCP timeouts.

index_project_status

Check the status of a background indexing job. Use the jobId returned from index_project with background=true.

get_file_contents

Reconstruct file contents from indexed chunks. Returns the full file content by concatenating all chunks in order.

get_status

Get the current status of the Super-Memory server including memory, model, and indexer state.

// known CVEs in dependencies1 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.0.0GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

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// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configBOOMERANG_LOG_LEVEL
configBOOMERANG_PROJECT_PATH
configBOOMERANG_ROOT_PATH
configCOLLECTION_NAME
configQDRANT_URL[Qdrant](https://qdrant.tech/) running on http://localhost:6333 (or set )
configQUERY_CASCADE
configSUPER_MEMORY_EAGER_LOAD
configSUPER_MEMORY_POSTINSTALL
configTRANSFORMERS_CACHE
// quality suggestions

All four hints declared on every tool

7/7 tools missing one or more hints — query_memories (missing: destructiveHint, idempotentHint, openWorldHint); add_memory (missing: readOnlyHint, idempotentHint, openWorldHint); search_project (missing: destructiveHint, idempotentHint, openWorldHint), +4 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool inputs are validated

6/7 tool handlers declare input schemas (86%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

6/7 tool handlers wrap calls in try/catch (86%)

Wrap each tool handler body in try/catch and return a structured error response.

Tool test coverage

3/7 tools referenced in tests (43%)

Write tests that reference each tool by name so every tool has at least one test.

Tests pass

npm test failed — tests do not pass

Make sure npm test runs cleanly. Common cause: missing build step or missing env vars.

Shell command execution

1 child_process call — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Production dependencies are patched

0 critical, 1 high severity in production deps — @modelcontextprotocol/sdk@1.0.0 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

Dependency freshness

1/7 production deps stale: @xenova/transformers@2024-05-29 (2.1y)

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
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commit: 7a2b2f40f73fc5c1f9ea3bd89dfa31329310e429
code hash: ea87092ae57cfebbffb8c36fa8ec511b03197e3d76aabeb02c19a06cbb142482
view raw JSON →
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