Who it is for
Engineering teams whose generated code must match their own design system.
Live design system components, props and tokens for code generation
Overview
Tseha exists to stop generated code from guessing. A model writing UI otherwise invents component names, props and design values from training data, which produces code that looks plausible and does not compile against the actual design system.
The connector is queried before any code is written. It returns the full list of UI components with import paths and usage context, complete per-component specifications covering props, variants, examples and anti-patterns, and design tokens for colours, typography, spacing and radius. The anti-patterns are the unusual inclusion, since knowing what not to do is rarely encoded anywhere machine-readable. Community tier.
Engineering teams whose generated code must match their own design system.
The endpoint asks for credentials before naming anything, so nine is the publisher's figure. Component listing with import paths, per-component specs, and design token retrieval are the groupings described.
Availability
Tseha.io is listed in the Claude connectors directory only. MH Mariusz Henn has no app under the same domain in the ChatGPT directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
The MCP server behind a Claude connector is usually the same server a ChatGPT app would need, so the absence is a distribution decision rather than a technical one.
Claude listing
Tseha.io publishes 9 tools to Claude. That is a mid-sized surface: 41.3% of the 1,253 Claude-listed connectors expose fewer.
The median Claude-listed connector filed under Productivity publishes 12, so this one sits 3 tools below its bucket's median, 266th of 462.
It falls in the 7-10 tools band, which holds 14.6% of the Claude directory.
Tseha.io publishes a remote MCP endpoint. Claude connects to it over HTTP; there is nothing to install locally.
Every connector in the Claude directory is remote, all 1,253 of them, so transport is not a differentiator there.
https://tseha.io/mcp Tseha.io is community-listed in the Claude directory, the tier 770 of 1,253 connectors sit in (61.5%). It is the default for a self-published server, and says nothing either way about quality.
In the publisher's words
Tseha is the authoritative source of truth for your organization's development standards - delivered directly to Claude so generated code matches how your team actually builds. Instead of guessing component names, props, or design values from training data, Claude queries Tseha for live, organization-specific information before writing any code. What Tseha provides: • Components - the full list of UI components in your design system, with import paths and usage context, plus complete per-component specs (props, variants, examples, anti-patterns). • Design tokens - colors, typography, spacing, radius, and shadows, so styling uses your real theme values instead of hardcoded ones. • Development standards - your organization's coding conventions, project structure, and framework-specific rules. • Package definitions - which component packages are assigned to a project, so imports always come from approved sources. • Component updates - breaking changes and migration guidance between package versions. Tseha is read-only and scoped per project. Connect it, sign in, and Claude automatically pulls your standards, components, and tokens whenever it helps with design or front-end work - keeping AI-generated code consistent with your system.
Quoted from the connector's own Claude directory listing as captured in August 2026. Node8 did not write it and does not vouch for it.
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This is an independent catalogue entry compiled by Node8 from Tseha.io's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with MH Mariusz Henn, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.