mcpbeat

Fci MCP Server

ai.fluxink/fci-mcp
answering

Fci MCP is answering right now. Last checked 11 min ago. It exposes 6 tools.

Convert handwriting into text, LaTeX math, chemistry, or molecular structures.

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
723 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add fci-mcp --transport http https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "fci-mcp": {
      "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.fci-mcp]
url = "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "fci-mcp": {
      "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "fci-mcp": {
      "url": "https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

fluxink
fluxink-mcp-chatgpt-create-layout
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.
fluxink-mcp-chatgpt-recognize-handwriting
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.
fluxink-mcp-chatgpt-recognize-image
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.
fluxink-mcp-chatgpt-show-handwriting-canvas
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.
fluxink-mcp-chatgpt-show-style-canvas
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.
fluxink-mcp-chatgpt-synthesize-handwriting-style
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.

Endpoints

URLTransportStateLatencyChecked
https://mcp.fluxink.ai/servers/f6b6758dba6c4c92b83407a113fdb80b/mcp streamable-http answering 688 ms 11 min ago

Fci MCP — questions

Answers built from our own checks of this server.

What can Fci MCP do?
It exposes 6 tools, read directly from the server on our last check. Among them: fluxink-mcp-chatgpt-create-layout, fluxink-mcp-chatgpt-recognize-handwriting, fluxink-mcp-chatgpt-recognize-image, fluxink-mcp-chatgpt-show-handwriting-canvas, fluxink-mcp-chatgpt-show-style-canvas, fluxink-mcp-chatgpt-synthesize-handwriting-style. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Fci MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 723 ms. The bar chart above shows every period we have measured.
How do I connect Fci MCP?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Fci MCP need an API key?
No. Fci MCP completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Fci MCP?
It answers our handshake in 723 ms on average, which is faster than 12% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.