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onomeo

MCPB · ONOMEO-MCP.MCPB

Ask free LLMs (DeepSeek, GLM, Gemini, Mistral) for a second opinion from any MCP client.

Available components

47 Trust /100

Last scanned (20 hours ago)

Scores higher than 83% of MCPB servers

Category AI and Machine Learning

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 Security25
  • 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 were checked across the 3 of 3 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • 0 of 3 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability76
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 237 tokens (~79/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 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 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "compare_models" implies "send" and declares readOnlyHint instead, contradicting what its own name says it does. 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 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.

  • 14 Oct 26 +30
    • Injection markers: unverified → pass ▲ security
    • First check of Judged manipulation: pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Tool coverage: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • First check of Schema quality: fail functional
    • First check of Destructive annotations: 0 functional
    • First check of Schema quality: pass functional
    • First check of Schema quality: good functional
    • First check of Tool coverage: 100 functional
  • 12 Oct 26 17

    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 16 Oct 2026 · Analysed mcpb/https://github.com/Owaid0723666/onomeo-mcp/releases/download/v0.1.0/onomeo-mcp.mcpb

Provenance No attestation

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

Result No attestation
Ecosystem mcpb
Reason No attestation published

Background: How many MCP packages publish verified provenance →

Dependencies 3 packages
Packages resolved 3
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 3 exposed · ~237 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
ask_model ~106

Ask another LLM through onomeo and return its answer. Use it for a second opinion, a review from a different model, or to hand off a side question. "auto" picks a healthy free model.

NameTypeReqDescription
modelstring–Model id from list_models. Defaults to "auto".
promptstringyesThe full question. The other model sees only this text, so include the code or context it needs.
systemstring–Optional system prompt.

No output schema declared.

No examples provided.

compare_models ~87

Send the same question to 2-4 models at once and return the answers side by side. Each model counts as one call against the limit.

NameTypeReqDescription
modelsarrayyesModel ids from list_models.
promptstringyesThe full question. The other model sees only this text, so include the code or context it needs.
systemstring–Optional system prompt.

No output schema declared.

No examples provided.

list_models ~44

List the models onomeo serves right now: which are free to call, which are pay-as-you-go, and the current free call limit. Works without an API key.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Install

How do I install the onomeo MCP server?

onomeo ships as an MCPB bundle, a single file you download and open in an MCP host that supports MCPB bundles, such as Claude Desktop. The host reads the launch command from the bundle's own manifest, so there is no command to copy. Before opening it, check the file's SHA-256 matches the one the MCP registry declares for it, 3810f6fdb2b50b344c80c8f86b96d561fbd4c850c6834f471d338687f326484b; the commands to do that are on this page. If it does not match, do not open it.

mcpb · onomeo-mcp.mcpb

Download bundle

Check the download matches the SHA-256 the MCP registry declares before you open it. If it does not match, do not open the file.

SHA-256

3810f6fdb2b50b344c80c8f86b96d561fbd4c850c6834f471d338687f326484b

macOS / Linux

echo "3810f6fdb2b50b344c80c8f86b96d561fbd4c850c6834f471d338687f326484b  onomeo-mcp.mcpb" | shasum -a 256 -c

Windows (PowerShell)

(Get-FileHash -Algorithm SHA256 .\onomeo-mcp.mcpb).Hash -eq "3810f6fdb2b50b344c80c8f86b96d561fbd4c850c6834f471d338687f326484b"

Run it in the folder you saved the bundle to, then open the file with an MCPB-capable host such as Claude Desktop.

Common questions

What is the onomeo MCP server?

onomeo is an MCP server listed in the public MCP registry as io.github.Owaid0723666/onomeo-mcp. Ask free LLMs (DeepSeek, GLM, Gemini, Mistral) for a second opinion from any MCP client. This page covers its MCPB bundle (https://github.com/Owaid0723666/onomeo-mcp/releases/download/v0.1.0/onomeo-mcp.mcpb).

Is the onomeo MCP server safe to use?

onomeo scores 47 out of 100 on VerifyMCP. 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 onomeo MCP server expose?

onomeo exposes 3 tools: list_models, ask_model, compare_models. Their descriptions and schemas cost roughly 237 tokens of context every time the server is loaded.

What licence is the onomeo MCP server under?

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