Muckaway Ai MCP server. Tools: estimate waste volume, get skip pricing, check waste type. Bu...
Muckaway MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Muckaway Ai MCP server. Tools: estimate waste volume, get skip pricing, check waste type. Bu...
MEOK AI Labs — Waste logistics & skip hire MCP Server. UK £6B waste management market.
The server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Once Muckaway is connected, these are the calls the assistant has available:
classify_waste — Classify waste types by UK EWC codesfind_disposal_facility — Find licensed waste disposal facilitiescheck_duty_of_care — Validate duty of care documentationgenerate_waste_transfer_note — Create waste transfer notesPlenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Muckaway's toolset — classify_waste, find_disposal_facility, check_duty_of_care and 1 more — is a fair guide to whether it matches your workflow. It is maintained by CSOAI-ORG; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| classify_waste | Classify waste types by UK EWC codes |
| find_disposal_facility | Find licensed waste disposal facilities |
| check_duty_of_care | Validate duty of care documentation |
| generate_waste_transfer_note | Create waste transfer notes |
{
"mcpServers": {
"muckaway-ai-mcp": {
"command": "python",
"args": ["path/to/server.py"]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.