Text to Speech
PYPI · TEXT-TO-SPEECH-MCP
Reads text aloud locally on Windows, macOS, and Linux. No API key, account, or cloud service.
Available components
Last scanned (22 hours ago)
Scores higher than 72% of PyPI servers
Category Productivity and Notes
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
- Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 0 of 28 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to Engr-FaizanAli/text-to-speech-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 96 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 107 tokens (~107/item across 1 items; 1 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management63
- Stability observed for 19 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
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 2 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
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 −20
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.63 functional
- 1 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 30 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- 29 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: 0.97 → pass security
- 28 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: pass → 0.97 functional
- 27 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 26 Oct 26 +15
- Malware scan: unverified → pass ▲ security
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/text-to-speech-mcp@0.4.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | Engr-FaizanAli/text-to-speech-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/Engr-FaizanAli/text-to-speech-mcp/.github/workflows/publish.yml@refs/tags/v0.4.1 |
| Rekor log index | 2291383679 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:1bcfe1c0da261b22103bc6a8119cd96dddea2366c6ca7230ab91516e3bd1a193 |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 28 packages
| Packages resolved | 28 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
speak_text Text to Speech ~37
Read text aloud locally and return after playback finishes.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | Text to read aloud. Do not include secrets or hidden reasoning. |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
How do I install the Text to Speech MCP server?
Text to Speech runs locally as a PyPI package, launched with uvx text-to-speech-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 · text-to-speech-mcp
claude mcp add engr-faizanali-text-to-speech -- uvx text-to-speech-mcp
What is the Text to Speech MCP server?
Text to Speech is an MCP server listed in the public MCP registry as io.github.Engr-FaizanAli/text-to-speech. Reads text aloud locally on Windows, macOS, and Linux. No API key, account, or cloud service. This page covers its PyPI package (text-to-speech-mcp).
Is the Text to Speech MCP server safe to use?
Text to Speech scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. 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 Text to Speech MCP server expose?
Text to Speech exposes 1 tool: speak_text. Their descriptions and schemas cost roughly 37 tokens of context every time the server is loaded.
Is the Text to Speech MCP server still maintained?
Text to Speech 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 Text to Speech MCP server under?
Text to Speech declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.