Crawler Summary

ascii-motion-mcp answer-first brief

MCP (Model Context Protocol) server for Ascii-Motion - enabling LLM-powered tools to create, animate, import, and export ASCII art ASCII Motion MCP Server A $1 server that enables AI assistants to create, animate, and export ASCII art from the $1, using natural language. What is this? ASCII Motion MCP allows you to use AI assistants like Claude, GitHub Copilot, and Cursor to: - ๐ŸŽจ **Draw ASCII art** - Create pixel art and text graphics with characters - ๐ŸŽฌ **Animate** - Build frame-by-frame animations with onion skinning - ๐Ÿ“ฅ **Import** - Conver Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

ascii-motion-mcp is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 98/100

ascii-motion-mcp

MCP (Model Context Protocol) server for Ascii-Motion - enabling LLM-powered tools to create, animate, import, and export ASCII art ASCII Motion MCP Server A $1 server that enables AI assistants to create, animate, and export ASCII art from the $1, using natural language. What is this? ASCII Motion MCP allows you to use AI assistants like Claude, GitHub Copilot, and Cursor to: - ๐ŸŽจ **Draw ASCII art** - Create pixel art and text graphics with characters - ๐ŸŽฌ **Animate** - Build frame-by-frame animations with onion skinning - ๐Ÿ“ฅ **Import** - Conver

MCPverified

Public facts

7

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal2 GitHub stars

Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.

2 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Cameronfoxly

Artifacts

0

Benchmarks

0

Last release

2.0.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/CameronFoxly/ascii-motion-mcp.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Cameronfoxly

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

2 GitHub stars

profilemedium
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

bash

npm install -g ascii-motion-mcp

bash

ascii-motion-mcp --help

json

{
  "mcpServers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp",
      "args": ["--live", "--project-dir", "/path/to/your/projects"]
    }
  }
}

json

{
  "servers": {
    "ascii-motion": {
      "command": "npx",
      "args": [
        "ascii-motion-mcp",
        "--live",
        "--project-dir",
        "${workspaceFolder}"
      ],
      "type": "stdio"
    }
  }
}

json

{
  "servers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp",
      "args": [
        "--live",
        "--project-dir",
        "${workspaceFolder}"
      ],
      "type": "stdio"
    }
  }
}

bash

# Install GitHub CLI
brew install gh  # macOS
# or: winget install GitHub.cli  # Windows

# Install Copilot extension
gh extension install github/gh-copilot

# Login
gh auth login

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

MCP (Model Context Protocol) server for Ascii-Motion - enabling LLM-powered tools to create, animate, import, and export ASCII art ASCII Motion MCP Server A $1 server that enables AI assistants to create, animate, and export ASCII art from the $1, using natural language. What is this? ASCII Motion MCP allows you to use AI assistants like Claude, GitHub Copilot, and Cursor to: - ๐ŸŽจ **Draw ASCII art** - Create pixel art and text graphics with characters - ๐ŸŽฌ **Animate** - Build frame-by-frame animations with onion skinning - ๐Ÿ“ฅ **Import** - Conver

Full README

ASCII Motion MCP Server

A Model Context Protocol (MCP) server that enables AI assistants to create, animate, and export ASCII art from the ASCII Motion app, using natural language.

npm version license

What is this?

ASCII Motion MCP allows you to use AI assistants like Claude, GitHub Copilot, and Cursor to:

  • ๐ŸŽจ Draw ASCII art - Create pixel art and text graphics with characters
  • ๐ŸŽฌ Animate - Build frame-by-frame animations with onion skinning
  • ๐Ÿ“ฅ Import - Convert images to ASCII art with full control
  • ๐Ÿ“ค Export - Save as PNG, GIF, MP4, HTML, React, or CLI components
  • ๐ŸŒˆ Apply effects - Add digital rain, noise, color shifts, and more

All through natural language prompts!

Quick Start

Prerequisites

  • Node.js 18+
  • An MCP-compatible AI client (Claude Desktop, VS Code + Copilot, Cursor, etc.)

Installation

npm install -g ascii-motion-mcp

Verify installation:

ascii-motion-mcp --help

Client Setup

Important: The --live flag is required for all setups. Without it, the MCP tools have no visual output. After configuring your client, you must also connect the browser to see your AI's work.

Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp",
      "args": ["--live", "--project-dir", "/path/to/your/projects"]
    }
  }
}

Restart Claude Desktop after saving.

VS Code with GitHub Copilot

  1. Install the GitHub Copilot extension

  2. Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "ascii-motion": {
      "command": "npx",
      "args": [
        "ascii-motion-mcp",
        "--live",
        "--project-dir",
        "${workspaceFolder}"
      ],
      "type": "stdio"
    }
  }
}

Or if you've installed globally (npm install -g ascii-motion-mcp):

{
  "servers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp",
      "args": [
        "--live",
        "--project-dir",
        "${workspaceFolder}"
      ],
      "type": "stdio"
    }
  }
}
  1. Restart VS Code completely (not just reload window)

  2. Open Copilot Chat - the MCP tools should now be available!

Note: VS Code spawns the MCP server automatically when Copilot needs it. You don't run the server manually.

Connect the Browser (Optional)

To see edits in real-time:

  1. Ask Copilot: "What is the MCP auth token?"
  2. Open ascii-motion.app
  3. Click โ˜ฐ โ†’ MCP Connection
  4. Paste the token and click Connect

GitHub Copilot CLI

  1. Install GitHub CLI and Copilot extension:
# Install GitHub CLI
brew install gh  # macOS
# or: winget install GitHub.cli  # Windows

# Install Copilot extension
gh extension install github/gh-copilot

# Login
gh auth login
  1. Create/edit ~/.config/gh-copilot/config.yml:
mcpServers:
  ascii-motion:
    command: ascii-motion-mcp
    args:
      - --live
      - --project-dir
      - ~/ascii-art-projects
  1. Use in terminal:
gh copilot chat "Create an 8-frame animation of a bouncing ball"

Cursor

  1. Open Cursor Settings (Cmd+, / Ctrl+,)
  2. Search for "MCP" in settings
  3. Click "Edit in settings.json" and add:
{
  "mcp.servers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp",
      "args": ["--live", "--project-dir", "/path/to/projects"]
    }
  }
}
  1. Restart Cursor

Windsurf

Add to your Windsurf MCP configuration:

{
  "mcpServers": {
    "ascii-motion": {
      "command": "ascii-motion-mcp", 
      "args": ["--live", "--project-dir", "/path/to/projects"]
    }
  }
}

Connect the Browser

After configuring your AI client, you must connect the ASCII Motion browser app to see visual output:

  1. Get the auth token - Ask your AI: "What is the MCP auth token?"
  2. Open ASCII Motion - Go to ascii-motion.app
  3. Open MCP Connection - Click the hamburger menu (โ˜ฐ) โ†’ MCP Connection
  4. Paste the token - Enter the auth token and click Connect

You should see a green "Connected" status. Now your AI's edits appear in real-time!

CLI Options

ascii-motion-mcp [options]

Options:
  -d, --project-dir PATH  Project directory for file operations (default: cwd)
  -l, --live              Enable live browser sync via WebSocket (REQUIRED)
  -p, --port PORT         WebSocket port for live mode (default: 9876)
  -h, --help              Show help
  -v, --version           Show version

Example Prompts

Once configured, try these prompts with your AI assistant:

Create Art:

"Create a 40x20 canvas with a pixel art heart in red"

Import & Convert:

"Import the image at ./photo.jpg and convert it to ASCII using block characters"

Animate:

"Create an 8-frame animation of a walking stick figure"

Apply Effects:

"Add a digital rain effect with green characters"

Export:

"Export this animation as a GIF with 2x size"

CLI Components:

"Export as an Ink component for my Node.js CLI app"

Available Tools (69 total)

Canvas Tools

set_cell, get_cell, clear_cell, set_cells_batch, paste_ascii_block, fill_region, resize_canvas, clear_canvas

Frame Tools

add_frame, delete_frame, duplicate_frame, go_to_frame, list_frames, set_frame_duration, set_frame_name

Animation Tools

copy_frame_and_modify, shift_frame_content, flip_region, copy_region_to_frame, interpolate_frames

Project Tools

new_project, save_project, load_project, get_project_info, list_project_files, set_project_name

Preview Tools

get_canvas_summary, get_canvas_preview, get_canvas_ascii, get_frame_diff, describe_animation

Selection Tools

select_rectangle, select_by_color, get_selection, clear_selection, apply_to_selection, delete_selection_content

Palette Tools

list_character_palettes, get_character_palette, list_color_palettes, get_color_palette, get_active_colors, set_foreground_color, set_background_color, set_selected_character, suggest_palette_for_style

Import Tools

import_image, import_video, import_ascii_text

Effects Tools

apply_effect, get_color_stats, batch_recolor, batch_replace_char

Generator Tools

run_generator, preview_generator

Export Tools

export_text, export_json, export_session, export_html, export_react, export_ansi, export_ink, export_bubbletea, export_opentui, export_image, export_video

History Tools

undo, redo, get_history_status

MCP Resources

The server exposes these resources for state introspection:

  • project://state - Full project state snapshot
  • project://canvas - Current frame canvas data
  • project://frames - Frame list with metadata
  • project://selection - Current selection state
  • project://history - Undo/redo history
  • project://ascii - Plain text ASCII preview

Requirements

  • Node.js 18+ - Required
  • sharp (optional) - For image import: npm install sharp
  • ffmpeg (optional) - For video export: brew install ffmpeg

Troubleshooting

"Command not found"

Make sure npm global bin is in your PATH:

npm bin -g
# Add the output to your PATH if needed

Tools not appearing

Restart your AI client after configuration changes. Check that the config file is valid JSON.

Live mode not connecting

  • Ensure port 9876 is available
  • Check that you're connecting from localhost
  • Verify the auth token is correct

No visual output

Make sure you're using the --live flag AND have connected the browser via MCP Connection.

Links

License

MIT License - see LICENSE for details.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

No

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/CameronFoxly/ascii-motion-mcp#input",
  "outputSchemaRef": "https://github.com/CameronFoxly/ascii-motion-mcp#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:53.248Z",
  "sourceUpdatedAt": "2026-02-24T19:46:53.248Z",
  "freshnessSeconds": 4444187
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T06:16:40.741Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "mcp",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "model-context-protocol",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ascii-art",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "animation",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "llm",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "ai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:mcp|supported|profile capability:model-context-protocol|supported|profile capability:ascii-art|supported|profile capability:animation|supported|profile capability:llm|supported|profile capability:ai|supported|profile capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.248Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.248Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/CameronFoxly/ascii-motion-mcp#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:53.248Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Cameronfoxly",
    "href": "https://github.com/CameronFoxly/ascii-motion-mcp#readme",
    "sourceUrl": "https://github.com/CameronFoxly/ascii-motion-mcp#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "2 GitHub stars",
    "href": "https://github.com/CameronFoxly/ascii-motion-mcp",
    "sourceUrl": "https://github.com/CameronFoxly/ascii-motion-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-cameronfoxly-ascii-motion-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub ยท GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to ascii-motion-mcp and adjacent AI workflows.