napi
Server Details
Ships with 42 pre-built text processing agents (sentiment analysis, keyword extraction, SEO metadata, code explanation, grammar checking, and more) totaling 259 endpoints. All code runs sandboxed in isolated child processes. Supports Streamable HTTP and stdio transports. Includes rate limiting, caching, analytics with p50/p95/p99 latency tracking, and a web dashboard.
The last two health checks of this connector failed. If this server requires authentication, missing or expired test credentials may be the cause. A test profile lets Glama authenticate for health checks and discover tools; it is separate from your personal connections.
If you are the author, claim ownership, then add or update a test profile under Admin → Test Profile.
- Status
- Unhealthy
- Uptime
- 4.6% over 68 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 79 tools
While package prefixes help distinguish encode/decode tools, there are clear overlapping groups: three slugification tools (slug, slugify, slugger), multiple text-case utilities (textcase and text-transform), and numerous marked internals with nearly identical names such as marked__marked and marked__Marked. An agent would struggle to select the correct tool among these.
The `package__function` structural pattern is consistent, but function-name casing is mixed: camelCase (parseInline, httpOverHttp), PascalCase (Hooks, Renderer, Tokenizer), and lowercase (checkgrammar, extractkeywords). The case-sensitive duplicate `marked__marked` versus `marked__Marked` is a notable inconsistency that violates the convention.
79 tools is far beyond a well-scoped server, falling into the extreme mismatch category. Many tools are redundant (e.g., three slugifiers, multiple encode/decode pairs), and exposing 13 internal functions from the marked library adds unnecessary bulk for typical use.
The server has no clear domain, making completeness difficult to assess; it is a random collection of npm utilities with no coherent lifecycle or workflow. Obvious gaps exist (e.g., date/time formatting, color conversion), and many packages are only partially wrapped, so the surface feels arbitrary and incomplete.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
4 tool updates
- Added
a__expectRequire - Added
a__mock - Added
a__promise - Added
a__requireMock
2 tool updates
- Added
date-formatter__format - Added
html-to-markdown__toMarkdown
79 tool updates
- First observed
at-stackone_ai__createFeedbackTool - First observed
at-stackone_ai__isBinaryDownloadResult - First observed
base64__decode - First observed
base64__encode - First observed
changelog__format - First observed
code-explainer__explainCode - First observed
content-expander__elaborate - First observed
cron-validate__validate - First observed
csv-parse__parse - First observed
grammar-spell-check__checkgrammar - First observed
haiku__generate - First observed
hashtags__suggest - First observed
he__decode - First observed
he__encode - First observed
he__escape - First observed
headline__generate - First observed
hex-encode__decode - First observed
hex-encode__encode - First observed
image-alt-text-generator__generateAltText - First observed
jsonpath__query - First observed
jwt-decode__decode - First observed
keyword-extract__extractkeywords - First observed
markdown-toc__generate - First observed
marked__getDefaults - First observed
marked__Hooks - First observed
marked__lexer - First observed
marked__marked - First observed
marked__Marked - First observed
marked__options - First observed
marked__parseInline - First observed
marked__parser - First observed
marked__Renderer - First observed
marked__TextRenderer - First observed
marked__Tokenizer - First observed
marked__use - First observed
marked__walkTokens - First observed
ms__ms - First observed
number-format__compact - First observed
number-format__format - First observed
number-format__parse - First observed
passwordgen__generate - First observed
pluralize__pluralize - First observed
readability__score - First observed
reading-time__estimate - First observed
semantic-search__findSimilarDocuments - First observed
sentiment__analyze - First observed
seo-meta__generate - First observed
slug__slug - First observed
slugger__slugify - First observed
slugify__slugify - First observed
social-copy__generate - First observed
striptags__strip - First observed
text-summarizer__summarize - First observed
text-transform__camelCase - First observed
text-transform__capitalize - First observed
text-transform__constantCase - First observed
text-transform__dotCase - First observed
text-transform__kebabCase - First observed
text-transform__pascalCase - First observed
text-transform__pathCase - First observed
text-transform__sentenceCase - First observed
text-transform__snakeCase - First observed
text-transform__titleCase - First observed
textcase__convert - First observed
thread-splitter__split - First observed
tone-check__check - First observed
truncate__truncate - First observed
tunnel-agent__debug - First observed
tunnel-agent__httpOverHttp - First observed
tunnel-agent__httpOverHttps - First observed
tunnel-agent__httpsOverHttp - First observed
tunnel-agent__httpsOverHttps - First observed
unicode-escape__decode - First observed
unicode-escape__encode - First observed
url-encode__decode - First observed
url-encode__encode - First observed
urlparse__parse - First observed
word-wrap__wrap - First observed
wordcount__count
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceRemote MCP server that lets AI assistants read tracked competitive intelligence — competitor news, reviews, website changes, social posts and ads — and act on it by managing projects, competitors, battle cards, reports and canvases. Every answer carries a source and a date, and write actions only publish when explicitly shared.MIT
- AlicenseCqualityCmaintenanceCompetitor Monitor AI - MCP server providing AI-powered tools and automation by MEOK AI Labs112 npm58 PyPIMIT
- AlicenseAqualityCmaintenanceEnables brand visibility monitoring across major AI platforms like ChatGPT, Claude, Gemini, and Perplexity. It allows users to track visibility scores, analyze competitor data, and receive actionable insights to improve AI-generated brand recommendations.1623 npm1MIT

industrylens-mcpofficial
AlicenseNot gradedqualityBmaintenanceBrowse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.