Hosted at [aave.mcp.junct.dev/mcp](https://aave.mcp.junct.dev/mcp). Free to use. No auth. No API key required.
Hosted at aave.mcp.junct.dev/mcp. Free to use. No auth. No API key required. The aave mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 5 defined tools rather than through you.
This MCP server is deterministically generated from the Aave API specification. Every tool maps 1:1 to a real API endpoint — no hallucinated endpoints.
Everything the assistant can do here goes through one of these:
Protocol — ** AaveEndpoint — ** https://aave.mcp.junct.dev/mcpTransport — ** Streamable HTTPAuth — ** None requiredDocumentation — ** aave.mcp.junct.dev/llms.txtBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Aave MCP's toolset — Protocol, Endpoint, Transport and 2 more — is a fair guide to whether it matches your workflow. It is maintained by junct-bot; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Aave MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Protocol | ** Aave |
| Endpoint | ** https://aave.mcp.junct.dev/mcp |
| Transport | ** Streamable HTTP |
| Auth | ** None required |
| Documentation | ** [aave.mcp.junct.dev/llms.txt](https://aave.mcp.junct.dev/llms.txt) |
{
"mcpServers": {
"aave": {
"url": "https://aave.mcp.junct.dev/mcp",
"transport": "streamable-http"
}
}
}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.