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com.mcparmory/ragie

PYPI · MCPARMORY-RAGIE · 2 COMPONENTS

Ingest, manage, and retrieve documents for RAG-powered AI applications

−15 this week 69 Trust /100

Last scanned (22 hours ago)

Scores higher than 64% of PyPI 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 Security50
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 2 of 40 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability73
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 8341 tokens (~160/item across 52 items; 52 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
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
  • All 5 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
  • An AI judge read all 52 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
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.

  • 30 Oct 26 0
    • Stability: 0.97 → pass security
  • 29 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
    • Stability: pass → 0.97 functional
  • 23 Oct 26 0
    • Stability: 0.97 → pass security
  • 22 Oct 26 0
    • Stability: pass → 0.97 functional
  • 18 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 17 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 16 Oct 26 0
    • Stability: 0.97 → pass security
  • 15 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

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 4 Nov 2026 · Analysed pypi/mcparmory-ragie@1.0.2

Provenance No attestation

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

Result No attestation
Ecosystem pypi
Reason No attestation published

Background: How many MCP packages publish verified provenance →

Dependencies 40 packages
Packages resolved 40
Stale 1
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 52 exposed · ~8,341 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
update_partition_limits ~244

Configure resource limits for a partition, including document hosting/processing capacity and media streaming/hosting quotas. When a limit is reached, the partition will be automatically disabled. Set any limit to null to remove it.

NameTypeReqDescription
audio_processed_limit_maxinteger–Maximum duration in minutes for audio processing in the partition. Must be at least 1 minute.
media_hosted_limit_maxinteger–Maximum size in megabytes for media hosted in the partition. Must be at least 1 MB.
media_streamed_limit_maxinteger–Maximum size in megabytes for media streamed from the partition. Must be at least 1 MB.
pages_hosted_limit_maxinteger–Maximum number of pages allowed for hosted documents in the partition. Must be at least 1 page.
pages_processed_limit_maxinteger–Maximum number of pages allowed for processed documents in the partition. Must be at least 1 page.
partition_idstringyesThe unique identifier of the partition to configure limits for.
video_processed_limit_maxinteger–Maximum duration in minutes for video processing in the partition. Must be at least 1 minute.

No output schema declared.

No examples provided.

update_webhook_endpoint ~160

Update a webhook endpoint's configuration including its name, URL, or active status. Use this operation to rotate endpoints, change delivery URLs, or temporarily disable webhook delivery without deleting the endpoint.

NameTypeReqDescription
activeboolean–Whether the webhook endpoint is active and should receive event deliveries. Set to false to temporarily disable delivery without deleting the endpoint.
endpoint_idstringyesThe unique identifier of the webhook endpoint to update, formatted as a UUID.
namestring–A new display name for the webhook endpoint.
partition_patternstring–A pattern to partition webhook events for this endpoint.
urlstring–A new delivery URL for the webhook endpoint. Must be a valid URI between 1 and 2083 characters.

No output schema declared.

No examples provided.

Install

How do I install the com.mcparmory/ragie MCP server?

com.mcparmory/ragie runs locally as a PyPI package, launched with uvx mcparmory-ragie. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · mcparmory-ragie

# add to Claude Code
claude mcp add com-mcparmory-ragie -- uvx mcparmory-ragie
Common questions

What is the com.mcparmory/ragie MCP server?

com.mcparmory/ragie is an MCP server listed in the public MCP registry as com.mcparmory/ragie. Ingest, manage, and retrieve documents for RAG-powered AI applications. This page covers its PyPI package (mcparmory-ragie).

Is the com.mcparmory/ragie MCP server safe to use?

com.mcparmory/ragie scores 69 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 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 com.mcparmory/ragie MCP server expose?

com.mcparmory/ragie exposes 52 tools: list_documents, create_document, create_document_from_text, ingest_document_from_url, get_document, and 47 more. Their descriptions and schemas cost roughly 8,341 tokens of context every time the server is loaded.

Is the com.mcparmory/ragie MCP server still maintained?

com.mcparmory/ragie is still listed as active in the MCP registry. We last reached this channel on 4 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 com.mcparmory/ragie MCP server under?

com.mcparmory/ragie declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.