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io.github.CloudCorpRecords/deepsearch

OCI · GHCR.IO/CLOUDCORPRECORDS/DEEPSEARCH · 2 COMPONENTS

Neural web search, code context, and page crawling through the Exa API.

42 Trust /100

Last scanned (6 hours ago)

Scores higher than 53% of OCI servers

Category Search and Retrieval

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 Security0
  • No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
  • Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
  • Install-script risk not yet assessed.Unverified
  • Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
Provenance & Transparency45
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 213 tokens (~71/item across 3 items; 3 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management17
  • Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 3 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.

  • 4 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 2 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Oct 26 40

    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 oci/ghcr.io/cloudcorprecords/deepsearch@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 oci
Reason No attestation published

Background: How many MCP packages publish verified provenance →

MCP tools · 3 exposed · ~213 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
crawling_exa ~74

Fetch the full text content of a specific web page by URL.

NameTypeReqDescription
tokensNumnumber–Optional token budget for the returned page text, clamped to 1000-50000; defaults to 5000.
urlstringyesThe URL of the web page to fetch the full text content of.

No output schema declared.

No examples provided.

get_code_context_exa ~78

Find code examples and documentation for a programming question and return them as context.

NameTypeReqDescription
querystringyesThe programming question or code search query to find examples and documentation for.
tokensNumnumber–Optional token budget for the returned code context, clamped to 1000-50000; defaults to 5000.

No output schema declared.

No examples provided.

web_search_exa ~61

Search the web with Exa and return relevant pages with their text content.

NameTypeReqDescription
numResultsnumber–Optional number of search results to return; defaults to 8.
querystringyesThe web search query to run with Exa.

No output schema declared.

No examples provided.

Install

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

io.github.CloudCorpRecords/deepsearch runs locally as a container image, launched with docker run --rm -i ghcr.io/cloudcorprecords/deepsearch:0.1.0. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.

oci · ghcr.io/cloudcorprecords/deepsearch

# add to Claude Code
claude mcp add cloudcorprecords-deepsearch -- docker run --rm -i ghcr.io/cloudcorprecords/deepsearch:0.1.0
Common questions

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

io.github.CloudCorpRecords/deepsearch is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/deepsearch. Neural web search, code context, and page crawling through the Exa API. This page covers its container image (ghcr.io/cloudcorprecords/deepsearch).

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

io.github.CloudCorpRecords/deepsearch scores 42 out of 100 on VerifyMCP. 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/deepsearch MCP server expose?

io.github.CloudCorpRecords/deepsearch exposes 3 tools: web_search_exa, get_code_context_exa, crawling_exa. Their descriptions and schemas cost roughly 213 tokens of context every time the server is loaded.

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

io.github.CloudCorpRecords/deepsearch 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/deepsearch MCP server under?

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