Hosted at [eigenlayer.mcp.junct.dev/mcp](https://eigenlayer.mcp.junct.dev/mcp). Free to use. No auth. No API key required.
Eigenlayer MCP MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. Hosted at eigenlayer.mcp.junct.dev/mcp. Free to use. No auth. No API key required.
This MCP server is deterministically generated from the Eigenlayer API specification. Every tool maps 1:1 to a real API endpoint — no hallucinated endpoints, no phantom tools.
Once Eigenlayer MCP is connected, these are the calls the assistant has available:
Protocol — ** EigenlayerEndpoint — ** https://eigenlayer.mcp.junct.dev/mcpTransport — ** Streamable HTTPAuth — ** None requiredDocumentation — ** eigenlayer.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.
Plenty 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. Eigenlayer 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.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Protocol | ** Eigenlayer |
| Endpoint | ** https://eigenlayer.mcp.junct.dev/mcp |
| Transport | ** Streamable HTTP |
| Auth | ** None required |
| Documentation | ** [eigenlayer.mcp.junct.dev/llms.txt](https://eigenlayer.mcp.junct.dev/llms.txt) |
{
"mcpServers": {
"eigenlayer": {
"url": "https://eigenlayer.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.