canvas-mcp
vishalsachdev/canvas-mcp/docs/llms.txt
Canvas MCP > Canvas MCP is an open-source Model Context Protocol (MCP) server that bridges AI assistants with Canvas Learning Management System (LMS). It provides up to 128 tools
How real projects summarise themselves for language models.
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vishalsachdev/canvas-mcp/docs/llms.txt
Canvas MCP > Canvas MCP is an open-source Model Context Protocol (MCP) server that bridges AI assistants with Canvas Learning Management System (LMS). It provides up to 128 tools
GabrieleLozupone/kokon/site/llms.txt
before/after compare, private mode, works offline after setup. - For AI agents: built-in MCP server (generate_image, edit_image, inpaint_image, outpaint_image, upscale_image, ...) and a local HTTP
Higangssh/homebutler/llms.txt
network scan, Wake-on-LAN - Multi-server SSH management and remote deploy - Built-in MCP server for AI tools - JSON output for scripts and agents ## Primary workflow For monitoring
huggingface/paperswithcode/frontend/public/llms.txt
papers outside the catalog. ## Links - API schema: https://paperswithcode.co/docs - MCP specification: https://modelcontextprotocol.io/docs/2026-07-28/learn/server-concepts - CLI and server source: https://github.com/huggingface/pwc-cli
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
Undertone0809/rudder/docs/llms.txt
future Agent work. - [Plugins](https://docs.rudderhq.dev/concepts/plugins): Install Codex-compatible packages that combine Skills, MCP servers, and Apps. ### How-to guides - [Use an Issue from Start to Finish](https://docs.rudderhq.dev
vidispine/hull/llms.txt
result - [Tools for AI agents](https://raw.githubusercontent.com/vidispine/hull/main/hull/files/doc/agent_tools.md): the Claude Code plugin, the MCP server and hull_validate.py - [Transformations](https://raw.githubusercontent.com/vidispine/hull/main/hull/files/doc/transformations.md): _HT*, _HT!, _HT?, _HT^, _HT&, _HT/ in detail - [Chart
AGIHunt/blurt/site/llms.txt
worktree per item. Review the changes, then merge. - Agents report through Blurt's MCP server: In progress, then To verify. MCP tools: search_items, get_item, get_transcript, update_item
noskillish/bankmcp/docs/llms.txt
BankMCP™ > BankMCP™ (also written Bank MCP or bankmcp) is an open-source MCP server for your own bank accounts. You run it yourself. It connects to your banks through Enable
Scottcjn/rustchain-bounties/llms.txt
onramp — 4-step flow from pick → claim → ship → get paid. - [Scottcjn/bounty-concierge](https://github.com/Scottcjn/bounty-concierge): MCP server exposing the board to your agent loop. ## Claim a bounty 1. Browse [open bounty
jfarcand/mirroir-mcp/llms.txt
mirroir-mcp > Give your AI eyes, hands, and a real iPhone. An MCP server that lets any AI agent see the screen, tap what it needs, and figure the rest
Continuum-AI-Corp/OrcaReplay/llms.txt
against your own traces. ## MCP - [server.json](https://github.com/Continuum-AI-Corp/OrcaReplay/blob/main/server.json): MCP server manifest. `orca mcp` serves the trace store over stdio as six tools, so an agent can list, read, diff
nirholas/three.ws/llms.txt
brain, memory and a wallet, and embed it anywhere with one web component. Remote MCP server, x402 payments, Three.js, browser-native. three.ws is an open-source repository by nirholas, part
nirholas/three.ws/public/llms.txt
authorization-server metadata. - [.well-known/chat-plugin.json](https://three.ws/.well-known/chat-plugin.json): ChatGPT-style plugin manifest. - [MCP server](https://three.ws/api/mcp): Hosted Model Context Protocol server (Streamable HTTP): avatars, glTF validation, agent data
zapier/sdk/llms.txt
zapier/zapier-sdk-core`](https://www.npmjs.com/package/@zapier/zapier-sdk-core): shared core types. ## Optional - [Zapier MCP](https://github.com/zapier/zapier-mcp): the MCP-server alternative for tool-calling from Cursor, Claude Desktop, or Codex. Reach for it when
saeloun/miru-web/public/llms-full.txt
OpenAPI: https://app.miru.so/openapi.json - API catalog: https://app.miru.so/.well-known/api-catalog - MCP endpoint: https://app.miru.so/mcp - MCP Server Card: https://app.miru.so/.well-known/mcp/server-card.json - Agent skills: https://app.miru.so/.well-known/agent-skills/index.json - Public product docs: https://miru.so
saeloun/miru-web/public/llms.txt
OpenAPI: https://app.miru.so/openapi.json - API catalog: https://app.miru.so/.well-known/api-catalog - MCP endpoint: https://app.miru.so/mcp - MCP Server Card: https://app.miru.so/.well-known/mcp/server-card.json - Agent skills: https://app.miru.so/.well-known/agent-skills/index.json - Marketing/docs: https://miru.so/docs
sachitrafa/YourMemory/llms.txt
entity extraction) - **Protocol:** MCP (Model Context Protocol) stdio server - **API:** FastAPI HTTP server on port 3033 ## MCP Tools - `recall_memory(query, user_id, current_path?)` — hybrid retrieval with graph expansion
QVerisAI/QVerisAI/agent/llms.txt
qverisai/cli — no upfront catalog schemas, deterministic output, API discovery without preloading the catalog - MCP Server v0.15.0 (local stdio fallback): npx @qverisai/mcp — for stdio-only IDE integrations - JavaScript SDK v0.10.0
dengyier/OpenWorkProof/llms.txt
mcp`. The MCP client manages this process. There is no hosted remote endpoint or API key in this setup. `owp` is the separate CLI, not the stdio server. The optional
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.