MCP server health, State of MCP census

NLP Tools - Sentiment, NER, Toxicity & Language Detection

io.github.fasuizu-br/nlp-tools

Toxicity, sentiment, NER, PII detection, and language identification tools

healthy checked 2026-07-02 · 8/9 checks passed · keyless

Checks

The exact rows akashi check io.github.fasuizu-br/nlp-tools prints, from the 2026-07-02 census.

CheckStatusDetail
registry statuspassactive
server.json validpassvalidates against its declared JSON Schema
repo reachablepassexists
repo freshnesswarnno push in 114d
remote reachablepassHTTP 200 via initialize
MCP conformancepassinitialize handshake ok
tools/listpass6 tools: analyze_toxicity, analyze_sentiment, extract_entities, detect_pii, detect_language, check_nlp_service
at least one live entrypointpass2 alive
license presentpassMIT

Evidence

Packages

No packages declared.

Remote endpoints

server.json

validagainst its declared schema

One of 14559 servers in the 2026-07-02 State of MCP census: 11582 healthy (79.6%), 2212 degraded (15.2%), 596 dead (4.1%), 169 unknown (1.2%).

Verify it yourself

This page is a static read of one dated probe. Run the same check locally, any time, with no key:

$ akashi check io.github.fasuizu-br/nlp-tools

Install Akashi - single Go binary, zero keys, MIT licensed.

Is this your server?

Claiming a server (an auto-refreshing badge and a verified publisher profile) is coming soon. Until then, embed the verified-on-date badge yourself with akashi check io.github.fasuizu-br/nlp-tools --badge.

Open data, CC BY 4.0. How this census works - denominator, tiers, and what each check does.