XActions
nirholas/XActions/llms.txt
XActions > The complete X/Twitter automation toolkit. Scrapers, an MCP server for AI agents, a CLI, browser console scripts and a browser extension. No X API key, no monthly fee, Apache
How real projects summarise themselves for language models.
nirholas/XActions/llms.txt
XActions > The complete X/Twitter automation toolkit. Scrapers, an MCP server for AI agents, a CLI, browser console scripts and a browser extension. No X API key, no monthly fee, Apache
evolution-foundation/evo-nexus/docs/llms-full.txt
with iteration-based circuit breaker ### Tier 2 — Setup & infrastructure (5) - `dev-mcp-setup` — configure MCP servers - `dev-deepinit` — generate hierarchical AGENTS.md / CLAUDE.md for new projects - `dev-project-session-manager
alisaitteke/photoshop-mcp/llms.txt
photoshop-mcp > MCP server for Adobe Photoshop — 1.7.18 — 122 tools (generative AI + 16 recipes), standalone web UI, and state-aware agent workflows. Unofficial; not affiliated with Adobe. **Website:** https://photoshop-mcp.com
Ikalus1988/MisakaNet/docs/llms-full.txt
workflow-fix-dco-command-design-implementation](https://misakanet.org/lessons/dco-auto-fix-workflow-fix-dco-command-design-implementation/) - [Lesson: deepseek-tui-feishu-mcp-server-setup-permission-boundaries](https://misakanet.org/lessons/deepseek-tui-feishu-mcp-server-setup-permission-boundaries/) - [Lesson: deepseek-tui-write-file-sandbox-worktree-git-path
Ikalus1988/MisakaNet/docs/llms.txt
database locked - Feishu document cleared - Windows Unicode crash - WSL permission denied - FANUC error codes - MCP server not discovered - Agent loops debugging ## How to connect ### Claude Code / Claude Desktop ```json { "mcpServers
Ikalus1988/MisakaNet/llms.txt
repeat: - **MCP endpoint**: `https://misakanet.org/mcp` — Streamable HTTP, anonymous reads with no account. Reads carry a per-address burst window: a speed limit, not a quota. - **Local stdio server**: from
mixpeek/amux/site/llms.txt
config files required - Auto-rebuilds on commit via a background build watcher; the running server self-adopts the new binary within seconds - MIT License — free, open-source, self-hosted
VikashLoomba/copilot-mcp/llms.txt
Skills search/install/manage: - [web/src/components/SearchSkills.tsx](./web/src/components/SearchSkills.tsx) - [web/src/components/InstalledSkillsList.tsx](./web/src/components/InstalledSkillsList.tsx) - [src/skills-client.ts](./src/skills-client.ts) - [src/installer.ts](./src/installer.ts) - MCP registry search/install: - [web/src/components/SearchRegistryServers.tsx](./web/src/components/SearchRegistryServers.tsx) - [web/src/utils/registryInstall.ts](./web/src/utils/registryInstall.ts) - Installed server management: - [web/src/components/InstalledMCPServers.tsx](./web/src/components/InstalledMCPServers.tsx) - [src/panels/ExtensionPanel.ts](./src/panels/ExtensionPanel.ts) ## CI + Release (Canonical Files) - Test workflow
erikdarlingdata/PerformanceMonitor/llms.txt
collectors, real-time alerts, graphical execution plan viewer, and a built-in MCP server with 87-151 tools for AI-powered analysis. Two current editions: Lite (standalone desktop app with
juyterman1000/entroly/docs/llms-full.txt
compressed-context storage. ## Interfaces And Packages - [Python package](https://pypi.org/project/entroly/): Primary CLI, proxy, MCP server, and Python SDK distribution. - [MCP package](https://www.npmjs.com/package/entroly-mcp): NPX bridge for MCP clients
juyterman1000/entroly/docs/llms.txt
rename-preview` runs an explicitly configured local language server with bounded framed JSON-RPC and verifies workspace ranges before planning. MCP executable arguments are operator-controlled through `ENTROLY_LSP_COMMAND
ratel-ai/ratel/llms.txt
user is running an MCP host (Claude Code, Cursor, ChatGPT) with multiple upstream MCP servers and wants one consolidated tool surface — point them at **ratel-local** ([`ratel-ai/ratel-mcp
SponsioLabs/Sponsio/llms-full.txt
# Sponsio — Full Documentation Dump This file is the concatenation of every public-facing doc
Keesan12/martin-loop/llms-full.txt
compatible agent hosts use the MartinLoop workflow directly. Install: `npx -y @martinloop/mcp@latest` The MCP server uses local stdio transport for the public package. Through MCP, a host
zapier/zapier-mcp/llms.txt
Zapier MCP > Official plugin distribution repository for the hosted Zapier MCP server. Install Zapier MCP in your AI client to connect your assistant to 9,000+ apps
AmrDab/clawdcursor/docs/llms.txt
clawdcursor > The local MCP server that gives any tool-calling agent safe control of the real > desktop — clicks, types, reads the screen, opens apps, drives any GUI. Local-only > (binds
carloslfu/slotstream/llms-full.txt
# slotstream: full documentation Generated by Tools/llms_full.sh from README.md docs/GETTING-STARTED.md docs/ENGINEERING.md docs/SEVRA-MAC.md docs/EXPERT-LOOKAHEAD.md docs/HERMES-NOTES.md docs/CLIENTS.md
mcpware/cross-code-organizer/llms.txt
Cross-Code Organizer (CCO) > Organize Claude Code memories, skills, MCP servers, commands, agents, rules, hooks, plans, sessions, and config across scopes. ## Docs - [AI Index](https://github.com/mcpware/cross-code-organizer/blob/main/AI_INDEX.md): Canonical AI-oriented
openaccountants/openaccountants/llms-full.txt
/api/bundle/CA-ON` **Option 2 — Raw file URL:** Read individual skill files via raw.githubusercontent.com. **Option 3 — MCP server:** `https://www.openaccountants.com/api/mcp` — provides `list_skills`, `get_skill`, `get_skill_sections`, and structured
openaccountants/openaccountants/llms.txt
/api/bundle/CA-ON` **Option 2 — Raw file URL:** Read individual skill files via raw.githubusercontent.com. **Option 3 — MCP server:** `https://www.openaccountants.com/api/mcp` — provides `list_skills`, `get_skill`, `get_skill_sections`, and structured
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.