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io.github.CloudCorpRecords/embedbase

NPM · @RENETURCIOS/EMBEDBASE · 2 COMPONENTS

Vector collections and document search backed by a Chroma HTTP service.

63 Trust /100

Last scanned (2 hours ago)

Scores higher than 31% of npm servers

Category Databases

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability71
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 836 tokens (~69/item across 12 items; 12 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "chroma_delete_collection" implies "delete" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 12 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 31 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 30 Oct 26 48

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed npm/@reneturcios/embedbase@0.1.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 1 finding
ID CVE Severity Vector Fix available
GHSA-mrhx-c7xc-m3w5 CVE-2023-54404 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 93 packages
Packages resolved 93
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 12 exposed · ~836 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
chroma_add_documents ~93

Add documents with optional metadata and ids to a collection.

NameTypeReqDescription
collection_namestringyesName of the collection to add documents to.
documentsarrayyesDocument texts to add to the collection.
idsarray–Ids for the documents, aligned by position with documents; generated when omitted.
metadatasarray–Metadata objects for each document, aligned by position with documents.

No output schema declared.

No examples provided.

chroma_create_collection ~67

Create a new collection with optional metadata and embedding function.

NameTypeReqDescription
collection_namestringyesName of the collection to create.
embedding_function_namestring–Name of the embedding function to use for the collection.
metadataobject–Metadata to associate with the collection.

No output schema declared.

No examples provided.

chroma_delete_collection ~33

Delete a collection and all of its records.

NameTypeReqDescription
collection_namestringyesName of the collection to delete.

No output schema declared.

No examples provided.

chroma_delete_documents ~64

Delete documents from a collection by ids or filter.

NameTypeReqDescription
collection_namestringyesName of the collection to delete documents from.
idsarray–Ids of the documents to delete.
whereobject–Metadata filter selecting which documents to delete.

No output schema declared.

No examples provided.

chroma_get_collection_count ~37

Get the number of records stored in a collection.

NameTypeReqDescription
collection_namestringyesName of the collection to count records in.

No output schema declared.

No examples provided.

chroma_get_collection_info ~36

Get metadata and configuration details for a collection.

NameTypeReqDescription
collection_namestringyesName of the collection to get information for.

No output schema declared.

No examples provided.

chroma_get_documents ~116

Retrieve documents from a collection by ids or filter.

NameTypeReqDescription
collection_namestringyesName of the collection to retrieve documents from.
idsarray–Ids of the documents to retrieve.
includearray–Fields to include in the results, such as documents, metadatas, or embeddings.
limitinteger–Maximum number of documents to return.
offsetinteger–Number of documents to skip before returning results.
whereobject–Metadata filter selecting which documents to retrieve.

No output schema declared.

No examples provided.

chroma_list_collections ~48

List collections in the database with optional pagination.

NameTypeReqDescription
limitinteger–Maximum number of collections to return.
offsetinteger–Number of collections to skip before returning results.

No output schema declared.

No examples provided.

chroma_modify_collection ~62

Rename a collection or replace its metadata.

NameTypeReqDescription
collection_namestringyesName of the collection to modify.
new_metadataobject–New metadata to replace the collection's existing metadata.
new_namestring–New name for the collection.

No output schema declared.

No examples provided.

chroma_peek_collection ~48

Return a preview of documents stored in a collection.

NameTypeReqDescription
collection_namestringyesName of the collection to preview.
limitinteger–Maximum number of documents to preview.

No output schema declared.

No examples provided.

chroma_query_documents ~127

Query a collection for documents nearest to the given query texts.

NameTypeReqDescription
collection_namestringyesName of the collection to query.
includearray–Fields to include in the results, such as documents, metadatas, embeddings, or distances.
n_resultsinteger–Maximum number of results to return for each query text.
query_textsarrayyesQuery texts to find the nearest documents for.
whereobject–Metadata filter to apply to the query.
where_documentobject–Document-content filter to apply to the query.

No output schema declared.

No examples provided.

chroma_update_documents ~105

Update documents, metadata, or embeddings for existing ids in a collection.

NameTypeReqDescription
collection_namestringyesName of the collection containing the documents to update.
documentsarray–Replacement document texts, aligned by position with ids.
embeddingsarray–Replacement embedding vectors, aligned by position with ids.
idsarrayyesIds of the documents to update.
metadatasarray–Replacement metadata objects, aligned by position with ids.

No output schema declared.

No examples provided.

Install

How do I install the io.github.CloudCorpRecords/embedbase MCP server?

io.github.CloudCorpRecords/embedbase runs locally as an npm package, launched with npx -y @reneturcios/embedbase. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @reneturcios/embedbase

# add to Claude Code
claude mcp add cloudcorprecords-embedbase -- npx -y @reneturcios/embedbase
Common questions

What is the io.github.CloudCorpRecords/embedbase MCP server?

io.github.CloudCorpRecords/embedbase is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/embedbase. Vector collections and document search backed by a Chroma HTTP service. This page covers its npm package (@reneturcios/embedbase).

Is the io.github.CloudCorpRecords/embedbase MCP server safe to use?

io.github.CloudCorpRecords/embedbase scores 63 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.CloudCorpRecords/embedbase MCP server expose?

io.github.CloudCorpRecords/embedbase exposes 12 tools: chroma_list_collections, chroma_create_collection, chroma_peek_collection, chroma_get_collection_info, chroma_get_collection_count, and 7 more. Their descriptions and schemas cost roughly 836 tokens of context every time the server is loaded.

Is the io.github.CloudCorpRecords/embedbase MCP server still maintained?

io.github.CloudCorpRecords/embedbase is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.CloudCorpRecords/embedbase MCP server under?

io.github.CloudCorpRecords/embedbase declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.