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African Speech Corpora Quality Audit MCP server

by papasega·io.github.papasega/african-speech-corpora·v2.0.0·1 stars

Read-only, provenance-aware selection of Wolof speech corpora by measured quality.

B78/100grade B
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B78/100

full report

Adoption
Growing

1 stars24 downloads/wk

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African Speech Corpora Quality Audit tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • audit_corpus
  • cite_corpus

    Return licence and citations, including parents of derivatives.

  • compare_corpora

    Compare variant quality, provenance, licence and benchmark status.

  • corpus_stats

    Return rows and schema for exactly one declared dataset configuration.

  • filter_segments
  • list_corpora

    List language/task/config variants with audit and verification state.

  • plan_training_set
  • search_segments

Public scan report

scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it

no findings
  • Code scan13 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 65 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How African Speech Corpora Quality Audit compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 48,255 servers
Tools
8
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 65% of 28,688 servers
Downloads a week
24
more than 10% of 12,191 servers with a package

What its tools let an agent do: 8 read

Install African Speech Corpora Quality Audit in Claude Code, Cursor or VS Code

claude mcp add african-speech-corpora -- uvx african-speech-mcp
Add to Cursor

What the publisher says

From the African Speech Corpora Quality Audit repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.papasega/african-speech-corpora -->

African Speech Corpora MCP

A read-only server implementing the Model Context Protocol, an open standard created by Anthropic, over public speech corpora for African languages: Wolof first, plus Pulaar and Sereer.

The project is Wolof-first. The 2.0 catalog contains 14 variants: 11 variants of original sources and 3 derivatives. Pulaar (ful) and Sereer (srr) are represented only by Kallaama variants without local metrics; the project does not claim Swahili or Amharic coverage. The bundled validation lock, generated on August 26, 2026, makes 6 Hugging Face variants queryable. A later validation run may naturally produce a different state.

Version 2.0.0 is distributed on PyPI and published as io.github.papasega/african-speech-corpora in the official MCP Registry.

The server does not train models, download complete corpora, or write to Hugging Face, OpenSLR, Kaggle, GitHub, or any other remote source.

What the server measures

The quality pipeline keeps the following stages separate:

raw audio → usable audio → transcribed audio → audit-accepted audio → expert-verified audio
  • Raw: a file present in the observed snapshot.
  • Usable: a file remaining after the audit's quantifiable exclusions.
  • Transcribed: audio associated with a transcription.
  • Audit accepted: an explicitly named union of expert-verified material and material only assumed valid by the audit.
  • Expert verified: only expertaudited or sourcereported_expert. An “a priori” assessment never enters this level.

Seconds are the canonical duration representation. Decimal hours and HH:MM:SS strings are derived at serialization time. Every audited metric states its scope, source, method, observation date, and confidence. A missing value remains null; it is never converted to zero. Figures published by a project remain under published_metrics, separate from local observations.

2026 Wolof snapshot

The machine-readable source is assets/wolof-audit-2026.csv. The protocol, limitations, and discrepancies with the source table's TOTAL cells are documented in assets/wolof-audit-2026.md.

Seven Wolof variants have a local observation: ALFFA, FLEURS wo_sn, Kallaama Wolof, Urban Bus, Waxal crowdsource, Wolof TTS Baamtu, and WolBanking77. Totals are recomputed from these seven rows and are never stored as a redundant manual total: 148,102 usable files, 64,609 transcribed files, 50,494 audit-accepted files, 2,329,382.06 seconds of audio, 515,185.06 transcribed seconds, and 302,048.06 audit-accepted seconds.

Important limitations:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

African Speech Corpora Quality Audit: common questions

Is African Speech Corpora Quality Audit MCP server safe?
Mostly: it is graded B (78/100). Read the African Speech Corpora Quality Audit safety report
How do I install African Speech Corpora Quality Audit?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does African Speech Corpora Quality Audit need an API key?
Yes. The registry entry asks for ASM_HF_TOKEN.
Is African Speech Corpora Quality Audit maintained?
The last commit was 69 days ago (2026-08-27). The latest release is v2.0.0.
How does African Speech Corpora Quality Audit compare with other MCP servers?
safety score 78/100 (higher than 57% of 48,255 servers); tools 8 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.