esa の Model Context Protocol サーバー実装
Esa MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. esa の Model Context Protocol サーバー実装.
公式のMCP Serverは多機能で、チーム管理、記事管理、コメント管理、カテゴリ管理、ヘルプ・ドキュメント、Resource、Promptなど幅広い機能を提供しています。そちらも確認することをおすすめします。
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need 2 environment variables: ESA_API_KEY, DEFAULT_ESA_TEAM. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by d-kimuson; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Esa's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"esa-mcp-server": {
"command": "npx",
"args": ["-y", "esa-mcp-server@latest"],
"env": {
"ESA_API_KEY": "your api key here",
"DEFAULT_ESA_TEAM": "your default esa team"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ESA_API_KEY | Credential the server authenticates with. | Yes |
| DEFAULT_ESA_TEAM | Configuration value read at startup. | Optional |
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.