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African Speech Corpora Quality Audit

PYPI · AFRICAN-SPEECH-MCP · SCANNED SEP 20

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

Available components

+4 this week 78 Trust /100
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 Security99
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 6 of 46 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability72
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 555 tokens (~69/item across 8 items; 8 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
  • Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage91
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 70% of tool parameters carry a description.Partial
  • 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 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
Install

How do I install the African Speech Corpora Quality Audit MCP server?

African Speech Corpora Quality Audit runs locally as a PyPI package, launched with uvx african-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 · african-speech-mcp

# add to Claude Code
claude mcp add papasega-african-speech-corpora -- uvx african-speech-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "papasega-african-speech-corpora": {
      "command": "uvx",
      "args": [
        "african-speech-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "papasega-african-speech-corpora": {
      "command": "uvx",
      "args": [
        "african-speech-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add papasega-african-speech-corpora -- uvx african-speech-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "papasega-african-speech-corpora": {
      "type": "local",
      "command": [
        "uvx",
        "african-speech-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add papasega-african-speech-corpora --command uvx --arg african-speech-mcp
# ~/.hermes/config.yaml
mcp_servers:
  papasega-african-speech-corpora:
    command: "uvx"
    args: ["african-speech-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "papasega-african-speech-corpora": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "african-speech-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add papasega-african-speech-corpora -t stdio -c uvx -a african-speech-mcp
// mcp.json
{
  "mcpServers": {
    "papasega-african-speech-corpora": {
      "command": "uvx",
      "args": [
        "african-speech-mcp"
      ]
    }
  }
}
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.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

  • 16 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 7 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 5 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

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 20 Sept 2026 · Analysed pypi/african-speech-mcp@2.0.0

Provenance No attestation

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

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 46 packages
Packages resolved 46
Stale 5
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~500 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
audit_corpus ~58

Return dated observed quality metrics separately from published figures. Missing observations remain null, never implicit zero.

NameTypeReqDescription
audit_idSpecific audit snapshot.
corpusstringyesVariant key.
include_publishedbooleanInclude source figures.
NameTypeReqDescription
audit_id
audit_statusstringyes
citationstringyes
commercial_useyes
confidence
config
corpusstringyes
counts
dataset_familystringyes
domain
durations
languagestringyes
language_purity
licencestringyes
measurement_method
observed_at
provenanceyes
published_metrics
quality_notes
source_reference
speakers
speech_type
split_scope
taskstringyes
verification_basis
warningsarray

No examples provided.

cite_corpus ~28

Return licence and citations, including parents of derivatives.

NameTypeReqDescription
corpusstringyesVariant key.
NameTypeReqDescription
also_citearray
bibtexstringyes
commercial_useyes
homepagestringyes
licencestringyes
usage_notestring

No examples provided.

compare_corpora ~29

Compare variant quality, provenance, licence and benchmark status.

NameTypeReqDescription
corporaarrayyes
NameTypeReqDescription
comparedintegeryes
corporaarrayyes
warningsarray

No examples provided.

corpus_stats ~28

Return rows and schema for exactly one declared dataset configuration.

NameTypeReqDescription
corpusstringyesVariant key.
NameTypeReqDescription
columnsarrayyes
declared_splitsarrayyes
observed_configsarray
provenanceyes
splitsarrayyes
total_rowsintegeryes
undeclared_splitsarray
warningsarray

No examples provided.

filter_segments ~96

Filter rows only when a versioned row-level audit manifest exists; aggregated audit totals alone produce a structured refusal.

NameTypeReqDescription
corpusstringyesVariant key.
exclude_corruptboolean
exclude_duplicatesboolean
exclude_non_wolofboolean
limitinteger
min_qualityRequested row quality.
query
splitDeclared split.
NameTypeReqDescription
audit_id
corpusstringyes
filter_availablebooleanyes
manifest_path
provenanceyes
reasonstringyes
required_manifest_columnsarrayyes
segmentsarray
warningsarray

No examples provided.

list_corpora ~50

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

NameTypeReqDescription
include_derivativesbooleanInclude derivatives.
languageISO 639-3 filter.
taskTask filter.
NameTypeReqDescription
audited_countintegeryes
corporaarrayyes
derivatives_countintegeryes
disclaimerstring
originals_countintegeryes
queryable_countintegeryes
totalintegeryes

No examples provided.

plan_training_set ~137

Build a de-duplicated variant plan using published or dated audit metrics, with explicit quality, licence, benchmark and language-purity decisions.

NameTypeReqDescription
exclude_evaluation_setsDeprecated compatibility alias for include_benchmarks.
include_benchmarksbooleanInclude evaluation benchmarks.
include_mixed_languagebooleanOpt in to known mixed-language variants.
include_tts_for_asrbooleanExplicitly permit TTS variants in an ASR plan.
languagestring
metric_sourceMetric provenance.
qualityMinimum/selection quality.
taskRequested task.
NameTypeReqDescription
assumed_valid_duration
citationsarrayyes
excluded_derivativesarrayyes
excluded_variantsobjectyes
expert_verified_duration
hours_unknown_forarray
include_benchmarksbooleanyes
include_mixed_languagebooleanyes
include_tts_for_asrbooleanyes
includedarrayyes
languagestringyes
licencesarrayyes
metric_sourcestringyes
qualitystringyes
taskstringyes
total_durationyes
total_hours_transcribednumberyesCompatibility alias for total_duration.hours_decimal.
warningsarray

No examples provided.

search_segments ~74

Search a schema-verified variant. Config overrides cannot cross language boundaries; temporary audio URLs are explicitly marked ephemeral.

NameTypeReqDescription
configCompatibility parameter; must equal the variant config.
corpusstringyesVariant key.
limitinteger
querystringyes
splitDeclared split.
NameTypeReqDescription
filter_availablebooleanyes
provenanceyes
querystringyes
returnedintegeryes
segmentsarrayyes
total_matches
warningsarray

No examples provided.

Common questions

What is the African Speech Corpora Quality Audit MCP server?

African Speech Corpora Quality Audit is an MCP server listed in the public MCP registry as io.github.papasega/african-speech-corpora. Read-only, provenance-aware selection of Wolof speech corpora by measured quality. This page covers its PyPI package (african-speech-mcp).

Is the African Speech Corpora Quality Audit MCP server safe to use?

African Speech Corpora Quality Audit scores 78 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 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.

What tools does the African Speech Corpora Quality Audit MCP server expose?

African Speech Corpora Quality Audit exposes 8 tools: list_corpora, search_segments, corpus_stats, cite_corpus, audit_corpus, and 3 more. Their descriptions and schemas cost roughly 500 tokens of context every time the server is loaded.

Is the African Speech Corpora Quality Audit MCP server still maintained?

African Speech Corpora Quality Audit is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.