# ai.fluxink/fci-mcp (remote · mcp.fluxink.ai) Convert handwriting into text, LaTeX math, chemistry, or molecular structures. - Trust score: 74/100 (medium) - Change this week: +6 - Registry status: active - Liveness: live - Owner verified: no - Last scored: 2026-08-03 ## Components - remote · `mcp.fluxink.ai`: 74/100 (this document), [markdown](https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp.md), [page](https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp) ## Channel facts - Endpoint: `https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp` - Transports: `streamable-http` - Auth: `none` - Version: `1.0.0` ## Trust breakdown How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog) Scored 2026-08-03. - **Endpoint Security**: 74/100 - The endpoint's TLS certificate is valid, in date, and uses a strong key. - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. - HTTPS is enforced; there's no plaintext access path. - HSTS check failed: the Strict-Transport-Security header is absent. - DNSSEC check failed: this domain isn't protected by DNSSEC. - **Transport & Reachability**: 100/100 - Verified streamable-http transport via a live MCP handshake. - **Schema Quality & AI Usability**: 75/100 - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name). - AI-judged instruction clarity (excellent). - Context-footprint check failed: tool/resource definitions use about 2263 tokens (~251/item across 9 items; 6 tools + 3 resources), over budget; trim descriptions and params. - Usage-examples check failed: none of the tools include examples. - **Stability & Change Management**: 27/100 - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses. - **Tool Coverage**: 100/100 - 100% of tools have a non-trivial description (not blank, and not just the tool's name). - 100% of tool parameters carry a description. - Structured output schemas are declared (100% of tools); any adoption earns full credit. - **Capabilities**: 100/100 - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28. - Supports UI / widget rendering. ## Install ### Claude ```bash claude mcp add --transport http ai-fluxink-fci-mcp https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp ``` ### Codex ```toml [mcp_servers.ai-fluxink-fci-mcp] url = "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp" ``` ### opencode ```json { "$schema": "https://opencode.ai/config.json", "mcp": { "ai-fluxink-fci-mcp": { "type": "remote", "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp", "enabled": true } } } ``` ### OpenClaw ```bash openclaw mcp add ai-fluxink-fci-mcp --url https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp --transport streamable-http ``` ### Hermes ```yaml mcp_servers: ai-fluxink-fci-mcp: url: "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp" ``` ### Other ```json { "mcpServers": { "ai-fluxink-fci-mcp": { "type": "http", "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp" } } } ``` The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs. ## Changelog Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims. ### 2026-08-03 (score 74, +1) No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-08-01 (score 73, +1) No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-07-31 (score 72, +2) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-30 (score 70, +1) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-28 (score 69, +1) No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes. ### 2026-07-27 (score 68, +1) - [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server ### 2026-07-26 (score 67) First indexed and scored. ## MCP tools (6) ### `fluxink-mcp-chatgpt-synthesize-handwriting-style` (~202 tokens) Internal FluxInk natural texture ink execution endpoint. Invoked ONLY by the style canvas widget when the user clicks Generate. Do NOT call this tool directly from chat. To render text in the personal handwriting style of the user, call show_style_canvas instead. This endpoint requires JSON encoded style strokes captured by the widget. Input parameters: - `cell_size` (number): Character cell size in pixels. - `legibility` (number): Legibility level (0.0 to 2.0). - `stroke_width` (number): Output stroke width (1.0 to 15.0). - `style_strokes` (string, required): JSON encoded array of style strokes captured from the canvas. - `style_text` (string): Text the user actually wrote as the style sample (for accurate style conditioning). If omitted, the backend auto recognises via handwriting recognition. - `text` (string, required): Text to synthesize in the captured handwriting style. Output parameters: - `charCount` (number) - `error` (string) - `imageBase64` (string) - `inferenceTimeMs` (number) - `success` (boolean) ### `fluxink-mcp-chatgpt-recognize-image` (~345 tokens) FluxInk image text recognition. Extract text from an EXISTING image (file upload, URL, or base64) the user provides. Higher accuracy than built in vision for tightly packed text, multi language documents, math, and LaTeX. Returns per region confidence and detection coordinates. Use this when the user uploads, attaches, or shares an image containing text they want extracted (screenshot, photo, scanned document, receipt, sign, whiteboard, book page, photographed handwritten notes). Use this when the user wants a photographed math expression or chemistry formula converted to LaTeX. Use this when the user references an image and asks to read, transcribe, or digitize the text in it. Do NOT use this when the user has NOT provided an image yet. Do NOT use this when the user wants to draw or handwrite something fresh (call show_handwriting_canvas instead). Do NOT use this when the request is a plain text question, summary, or explanation with no image attached. The language parameter selects the recognition mode. en is English text (default). zh is Chinese text. paddle is multilingual or mixed text. formula is mathematics. latex returns raw LaTeX markup. After returning results, present the extracted text clearly and offer follow up actions like translation, summarization, or editing. Input parameters: - `image` (required): Image to recognize text from. Pass an image from the conversation. - `language` (string): Recognition mode. Allowed values. en (English text). zh (Chinese text). paddle (multilingual mixed text). formula (mathematics with LaTeX output). latex (return raw LaTeX markup). Output parameters: - `detection_count` (number) - `error` (string) - `full_text` (string) - `language` (string) - `results` (array) - `success` (boolean) - `total_time_ms` (number) ### `fluxink-mcp-chatgpt-recognize-handwriting` (~153 tokens) Internal FluxInk handwriting recognition execution endpoint. Invoked ONLY by the handwriting canvas widget when the user finishes drawing. Do NOT call this tool directly from chat. To capture handwriting from the user, call show_handwriting_canvas instead. This endpoint requires a JSON stroke payload that only the widget can produce. Input parameters: - `language` (string): Optional language hint for text mode. - `mode` (string): Widget-internal recognition family. Preferred values are general or structure; legacy text, math, and chemical values are accepted for existing widget compatibility. - `strokes` (string, required): JSON encoded array of strokes captured by the widget. Each stroke is an object with x, y, t arrays. Output parameters: - `error` (string) - `result` - `success` (boolean) ### `fluxink-mcp-chatgpt-show-handwriting-canvas` (~457 tokens) Open the FluxInk handwriting recognition canvas. The user draws freehand strokes with a stylus, finger, or mouse. The strokes are converted by one of two model families: general recognition for handwriting, math, and chemical formulas, or structure recognition for molecular structures. Use this when the user asks to handwrite, draw, sketch, ink, scribble, or scrawl something. Use this when the user wants to draw a math equation, chemical formula, or molecular structure rather than type it. Use this when the user asks for a canvas, drawing pad, handwriting input box, or whiteboard. Use this when the user wants to convert stylus or finger drawings into recognized text or markup. Do NOT use this when the user types a question, equation, or formula in chat and just wants an answer. Do NOT use this when the user uploads or references an existing image of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document, study sheet, or layout PDF (call create_layout instead). Do NOT use this when the user wants text rendered in a personal handwriting style (call show_style_canvas instead). Do NOT use this for conversational or informational requests that need no ink input. Do NOT re-open if a FluxInk handwriting canvas is already visible from any earlier turn. Instead instruct the user to keep drawing on the existing canvas. Only set force_new=true when the user explicitly asks for a brand new, fresh, or blank canvas. Always pass the original chat message in the prompt parameter so context is preserved after recognition. After calling, write a single short acknowledgement and do NOT describe the canvas UI. Input parameters: - `force_new` (boolean): Set true ONLY when the user explicitly asks for a brand-new canvas. Otherwise leave false so a previously opened canvas is reused. - `language` (string): Optional language hint for text mode. Omit to use the mixed-language model default. - `mode` (string): Recognition family for the canvas. Use general for text, math, and chemical formulas; use structure only for molecular structures. - `prompt` (string): The original chat message that triggered the canvas. Passed through to the follow-up message after recognition. Output parameters: - `message` (string) - `mode` (string) - `prompt` (string) - `reuse` (boolean) ### `fluxink-mcp-chatgpt-create-layout` (~560 tokens) FluxInk document layout generator. Transform raw text content into a structured PDF using one of seven study or work templates, then preview it in an embedded PDF viewer widget. Supported layout_type values. cornell is the Cornell note taking layout with cue, notes, and summary. bullet_points is a clean bulleted summary. zettelkasten is atomic linked notes. journalism_5w1h is who, what, when, where, why, and how. meeting_add is a meeting agenda plus action items. sq3r is Survey, Question, Read, Recite, Review study notes. pso is Problem, Solution, Outcome. Use this when the user asks for a Cornell sheet, bulleted summary, Zettelkasten card, 5W1H breakdown, meeting agenda or minutes, SQ3R study sheet, or PSO writeup. Use this when the user wants to turn raw notes, lecture transcript, or source material into a printable PDF or formatted study sheet. Use this when the user asks for a downloadable PDF document of their content. Do NOT use this when the user just asks for a plain summary in chat. Give it inline. Do NOT use this when the user wants to handwrite or draw something. Call show_handwriting_canvas instead. Do NOT use this when the user wants text in a personal handwriting style. Call show_style_canvas instead. Do NOT use this for plain informational requests with no document generation intent. Always pass the source material verbatim in the content parameter. Do NOT pre summarize. The layout engine handles structuring. Pick the layout_type that best matches the stated purpose. If unclear, ask one short clarifying question instead of guessing. Do NOT re-call if a layout PDF is already visible from a previous turn unless the user explicitly asks for a different layout, different content, or a regeneration. After calling, write a single short acknowledgement and do NOT restate the PDF content. Input parameters: - `content` (string, required): The raw educational or note content to transform into a structured layout. Pass the full text. The backend will analyze, structure, and render it. - `layout_type` (string, required): Layout template to render. Allowed values. cornell (Cornell note taking layout with cue, notes, and summary). bullet_points (clean bulleted summary). zettelkasten (atomic linked notes). journalism_5w… - `title` (string): Optional title for the document. If omitted, the backend generates one. Output parameters: - `error` (string) - `layout_type` (string) - `success` (boolean) - `title` (string) ### `fluxink-mcp-chatgpt-show-style-canvas` (~430 tokens) Open the FluxInk natural texture ink style capture canvas. The user draws a few sample characters in a personal handwriting style. The widget then renders the requested text as a PNG spritesheet IN THAT EXACT PERSONAL HANDWRITING STYLE. Output is a downloadable spritesheet of individual handwritten glyphs that can be used as an asset (for example with image generation). Use this when the user asks to render or generate text in a personal handwriting style. Use this when the user wants a personalized handwritten note, card, letter, invitation, journal entry, or signature line that should look hand written by the user. Use this when the user wants to capture, clone, or sample a personal handwriting style and reuse it. Do NOT use this when the user just wants handwriting recognized (call show_handwriting_canvas instead). Do NOT use this for generic decorative handwritten fonts, calligraphy art, or AI generated script unrelated to the personal writing of the user. Do NOT use this to read text from an existing photo of handwriting (call recognize_image instead). Do NOT use this when the user wants a formatted document or layout (call create_layout instead). Do NOT use this for plain informational requests. Supports English and Chinese. Always pass the COMPLETE target text in the text parameter. Never truncate or abbreviate. Every character must appear in the spritesheet. Do NOT re-open if a FluxInk natural texture ink canvas is already visible from any earlier turn. Instead instruct the user to update the target text inside the existing widget. Only set force_new=true on an explicit user request for a brand new style canvas. After calling, write a single short acknowledgement and do NOT describe the UI. Once the user saves the spritesheet they can re-upload it for further design work. Input parameters: - `force_new` (boolean): Set true ONLY when the user explicitly asks for a brand-new style canvas. Otherwise leave false so a previously opened canvas is reused. - `text` (string, required): The COMPLETE text to render as natural texture ink handwriting. Pass the FULL text. Never truncate or abbreviate. Supports English and Chinese. Output parameters: - `message` (string) - `reuse` (boolean) - `text` (string) ## Diagnostics Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp#diagnostics ## Score history - 2026-08-03: 74 - 2026-08-02: 73 - 2026-08-01: 73 - 2026-07-31: 72 - 2026-07-30: 70 - 2026-07-29: 69 - 2026-07-28: 69 - 2026-07-27: 68 - 2026-07-26: 67 ## Links - Remote endpoint: https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp - Changelog RSS feed: https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp/changelog.xml - Changelog JSON feed: https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp/changelog.json - HTML version of this page: https://verifymcp.io/servers/ai-fluxink-fci-mcp/servers-f6b6758dba6c4c92b83407a113fdb80b-mcp