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com.mcparmory/algolia-search

PYPI · MCPARMORY-ALGOLIA-SEARCH · 2 COMPONENTS

Search multiple indices, index data, and get personalized recommendations

−4 this week 78 Trust /100

Last scanned (4 hours ago)

Scores higher than 76% 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 Security100
  • No malware found by supply-chain analysis.Pass
  • 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 Usability69
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 307 tokens (~102/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 Management70
  • Stability observed for 21 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 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; "send_custom_post_request" implies "send" 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 3 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.

  • 5 Nov 26 +16
    • Malware scan: unverified → pass ▲ security
  • 3 Nov 26 −20
    • Malware scan: pass → unverified ▼ security
    • Stability: pass → 0.63 functional
  • 2 Nov 26 +15
    • Malware scan: unverified → pass ▲ security
  • 1 Nov 26 −15
    • Malware scan: pass → unverified ▼ security
  • 31 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
  • 30 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 28 Oct 26 0
    • Stability: 0.97 → pass security
  • 27 Oct 26 0
    • Stability: pass → 0.97 functional
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 pypi/mcparmory-algolia-search@1.0.11

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 · 3 exposed · ~307 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
get_recommendations ~86

Retrieves AI-powered recommendations (e.g., related products, frequently bought together) from Algolia's recommendation models. Supports multiple concurrent recommendation requests in a single call.

NameTypeReqDescription
requestsarrayyesList of recommendation requests to execute, each specifying the target index, AI model, and model-specific parameters. Multiple requests can be batched together; order of items determines order of re…

No output schema declared.

No examples provided.

search_multiple_indices ~120

Executes multiple search queries across one or more indices in a single request, useful for querying different indices simultaneously or applying varied filters to the same index.

NameTypeReqDescription
requestsarrayyesList of search requests to execute, where each item specifies the target index, query, and any search parameters. Order determines execution sequence when using the stopIfEnoughMatches strategy.
strategystring–Controls how multiple queries are executed: run all queries regardless of results (none), or stop early once any query returns at least hitsPerPage results (stopIfEnoughMatches).

No output schema declared.

No examples provided.

send_custom_post_request ~101

Send a custom POST request directly to any Algolia REST API endpoint. Useful for accessing new or undocumented features not yet covered by dedicated methods.

NameTypeReqDescription
bodyobject–Optional JSON object to send as the POST request body payload.
parametersobject–Optional key-value pairs to include as URL query parameters with the request.
pathstringyesThe relative path of the Algolia REST API endpoint to target, starting after the base URL.

No output schema declared.

No examples provided.

Install

How do I install the com.mcparmory/algolia-search MCP server?

com.mcparmory/algolia-search runs locally as a PyPI package, launched with uvx mcparmory-algolia-search. 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-algolia-search

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

What is the com.mcparmory/algolia-search MCP server?

com.mcparmory/algolia-search is an MCP server listed in the public MCP registry as com.mcparmory/algolia-search. Search multiple indices, index data, and get personalized recommendations. This page covers its PyPI package (mcparmory-algolia-search).

Is the com.mcparmory/algolia-search MCP server safe to use?

com.mcparmory/algolia-search scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting 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 com.mcparmory/algolia-search MCP server expose?

com.mcparmory/algolia-search exposes 3 tools: send_custom_post_request, search_multiple_indices, get_recommendations. Their descriptions and schemas cost roughly 307 tokens of context every time the server is loaded.

Is the com.mcparmory/algolia-search MCP server still maintained?

com.mcparmory/algolia-search 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 com.mcparmory/algolia-search MCP server under?

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