io.github.Gandr-AI/gandr-mcp
PYPI · GANDR-MCP · SCANNED AUG 22
Text to speech for MCP clients. 23 languages, six voices, every render watermarked.
Available components
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 →
Supply Chain Security82
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects mcp 1.2.1, a direct dependency. A fixed version is available. View diagnostics → Fail
- Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 1 of 22 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 10 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Schema quality not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no schema to assess.Unverified
Stability & Change Management0
- Stability not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no schema to compare.Unverified
Tool Coverage0
- Tool coverage not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we have no tool definitions to assess.Unverified
Capabilities0
- Protocol version not yet verified: this server's registry entry declares environment variables (an API key or similar) that our sandbox does not supply, so we never saw its MCP handshake.Unverified
Unverified: 4 categories
Categories scored 0 because our sandbox run of this package has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →
How do I install the io.github.Gandr-AI/gandr-mcp server?
io.github.Gandr-AI/gandr-mcp runs locally as a PyPI package, launched with uvx gandr-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · gandr-mcp
claude mcp add gandr-ai-gandr-mcp -- uvx gandr-mcp
{
"mcpServers": {
"gandr-ai-gandr-mcp": {
"command": "uvx",
"args": [
"gandr-mcp"
]
}
}
} {
"servers": {
"gandr-ai-gandr-mcp": {
"command": "uvx",
"args": [
"gandr-mcp"
]
}
}
} codex mcp add gandr-ai-gandr-mcp -- uvx gandr-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"gandr-ai-gandr-mcp": {
"type": "local",
"command": [
"uvx",
"gandr-mcp"
],
"enabled": true
}
}
} openclaw mcp add gandr-ai-gandr-mcp --command uvx --arg gandr-mcp
mcp_servers:
gandr-ai-gandr-mcp:
command: "uvx"
args: ["gandr-mcp"] {
"McpServers": {
"gandr-ai-gandr-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"gandr-mcp"
]
}
}
} assistant mcp add gandr-ai-gandr-mcp -t stdio -c uvx -a gandr-mcp
{
"mcpServers": {
"gandr-ai-gandr-mcp": {
"command": "uvx",
"args": [
"gandr-mcp"
]
}
}
} 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.
- 22 Aug 26 0
- Package version: 0.1.5 → 0.1.8 functional
- 21 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- Package version: 0.1.5 → 0.1.8 functional
- 20 Aug 26 0
- Package version: 0.1.5 → 0.1.8 functional
- 18 Aug 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.1.5 → 0.1.8 functional
- 17 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 16 Aug 26 −15
- Malware scan: pass → unverified ▼ security
- 15 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 13 Aug 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.1.5 → 0.1.8 functional
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 22 Aug 2026 · Analysed pypi/gandr-mcp@0.1.8
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Vulnerabilities 10 findings
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-3qhf-m339-9g5v | CVE-2025-53366 | high | yes | |
| GHSA-9h52-p55h-vw2f | CVE-2025-66416 | high | yes | |
| GHSA-j975-95f5-7wqh | CVE-2025-53365 | high | yes | |
| GHSA-jpw9-pfvf-9f58 | CVE-2026-52869 | high | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L | yes |
| GHSA-vj7q-gjh5-988w | CVE-2026-59950 | high | yes | |
| PYSEC-2026-1616 | CVE-2025-53366 | none | yes | |
| PYSEC-2026-1617 | CVE-2025-66416 | none | yes | |
| PYSEC-2026-1618 | CVE-2025-53365 | none | yes | |
| PYSEC-2026-3482 | CVE-2026-52869 | high | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L | yes |
| PYSEC-2026-3483 | CVE-2026-59950 | none | yes |
Dependencies 22 packages
| Packages resolved | 22 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
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.
Tools for package channels are captured by running the package in an isolated sandbox. The most recent sandbox run could not capture a tool list from this package.
What is the io.github.Gandr-AI/gandr-mcp server?
io.github.Gandr-AI/gandr-mcp is listed in the public MCP registry as io.github.Gandr-AI/gandr-mcp. Text to speech for MCP clients. 23 languages, six voices, every render watermarked. This page covers its PyPI package (gandr-mcp).
Is the io.github.Gandr-AI/gandr-mcp server safe to use?
io.github.Gandr-AI/gandr-mcp scores 34 out of 100 on VerifyMCP. We recorded 10 known advisories against it as of 22 August 2026. 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.
Is the io.github.Gandr-AI/gandr-mcp server still maintained?
io.github.Gandr-AI/gandr-mcp is still listed as active in the MCP registry. We last reached this channel on 22 August 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.Gandr-AI/gandr-mcp server under?
io.github.Gandr-AI/gandr-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.