spector-agent-mcp
AI-first WebGL 1/2 debugging MCP server that attaches to Chrome via CDP, enables frame capture and diagnostic analysis, and collaborates with Chrome DevTools MCP for agent-driven debugging workflows.
README
spector-agent-mcp
AI-first WebGL 1/2 debugging MCP server built on Spector.js, designed for Code Agents (Cursor / Claude / Codex) collaborating with Chrome DevTools MCP.
Features
- Shared-Chrome CDP attach (no second browser)
debugSessionIdcollaboration with chrome-devtools-mcp- Summary-first tools + diagnostic rules (
WEBGL-*) - Skill Pack under
skills/(router + specialized playbooks) - Error fixtures + evals for regression of agent workflows
Quick start
1. Chrome remote debugging
# macOS example
/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
--remote-debugging-port=9222 \
--user-data-dir=/tmp/chrome-webgl-debug
2. Run the published package
npx -y spector-agent-mcp --browser-url http://127.0.0.1:9222
3. MCP config
Generic MCP client configuration:
{
"mcpServers": {
"spector-agent": {
"command": "npx",
"args": ["-y", "spector-agent-mcp", "--browser-url", "http://127.0.0.1:9222"]
}
}
}
Adapter templates under adapters/ also use the published npx -y spector-agent-mcp entry. For repository development, run pnpm install && pnpm build and point the MCP command at node packages/cli/dist/cli.js instead.
Also configure chrome-devtools MCP in your host. Templates:
- Cursor:
adapters/cursor/mcp.json - Codex:
adapters/codex/config.toml - Claude plugin:
adapters/claude-plugin/
4. Agent workflow (short)
webgl_debug_playbook({ goal, url })— deterministic tool sequence- Reproduce with chrome-devtools tools / open URL
webgl_bind_target→webgl_runtime_install- Stage observe:
webgl_set_marker/webgl_screenshot_canvas/webgl_read_console webgl_capture_frame({ includeThumbnails: true })→webgl_run_diagnostics→ FBO viawebgl_list_visual_attachments- Fix workspace code → re-capture →
webgl_diff_captures
Playbooks: skills/webgl-goal-driven-debug/SKILL.md, skills/webgl-debugging/SKILL.md
Gap analysis vs Spector.js: docs/ai-debug-toolchain-gap.md
Tool list (summary)
| Group | Tools |
|---|---|
| Session | webgl_session_create, webgl_session_status, webgl_list_targets, webgl_bind_target, webgl_unbind_target, webgl_runtime_install, webgl_runtime_status |
| Capture | webgl_list_canvases, webgl_select_canvas, webgl_capture_frame, webgl_capture_sequence, webgl_capture_commands, webgl_list_captures, webgl_get_capture_overview |
| Live / stage | webgl_set_marker, webgl_clear_marker, webgl_runtime_log, webgl_screenshot_canvas, webgl_read_console, webgl_list_visual_attachments, webgl_get_visual_attachment |
| Inspect | webgl_list_draw_calls, webgl_get_command_details, webgl_list_programs, webgl_get_program_details, webgl_list_textures, webgl_list_framebuffers, webgl_get_state_diff, webgl_search_capture |
| Diagnostics | webgl_run_diagnostics, webgl_get_finding_details, webgl_diff_captures, webgl_generate_report, webgl_list_rules, webgl_debug_playbook |
| Store | webgl_export_capture, webgl_delete_capture, webgl_cleanup_store, webgl_open_capture_viewer |
Security defaults: CDP is limited to explicitly allowlisted loopback hosts, runtime injection is limited to local or --allowed-origins targets, captures are size/retention bounded, and the generic webgl_page_evaluate tool is not registered unless --allow-page-evaluate is explicitly enabled. Prefer Chrome DevTools MCP for page evaluation and interaction.
Streamable HTTP is also available with secure defaults:
export SPECTOR_AGENT_MCP_HTTP_TOKEN="replace-with-at-least-24-random-characters"
npx -y spector-agent-mcp --transport http
It listens on 127.0.0.1:9230/mcp, requires Bearer authentication, and isolates MCP sessions. Non-loopback listening requires both --allow-remote-http and an explicit --http-allowed-hosts allowlist. See docs/usage.md for all usage modes.
Skill Pack
skills/
webgl-debugging/ # main router
webgl-goal-driven-debug/ # URL+goal → capture → fix → verify
webgl-black-screen/
webgl-shader-debugging/
webgl-texture-framebuffer/
webgl-state-corruption/
webgl-geometry-draw/
webgl-performance-regression/
webgl-verify-fix/
webgl-framework-adapters/
Fixtures & evals
- Fixtures:
packages/test-fixtures/errors/* - Eval scenarios:
evals/evals.json - Report grader:
evals/graders/grade-report.mjs
Docs
docs/architecture.mddocs/protocol.md—debugSessionIdcollaborationdocs/diagnostics.md— rule listdocs/security.mddocs/usage.md— generated install and transport guidedocs/tools.md— generated tool schemas and annotationsdocs/contributing-rules.md
License
MIT — see LICENSE / NOTICE (Spector.js heritage noted where applicable).
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.