nimble

A token-efficient MCP server that lazy loads tools and proxies tool calls

- comes with a local dashboard to connect and configure MCP servers
- proxies tool calls with 3 simple top-level tools: list-tools, get-tool, execute-tool
- supports tool summarization by LLM, you may also customize your own tool summaries

How it works

MCP clients naively include all tool descriptions and schemas on the context window. This results in excessive token consumption even when you only use a few tools. Multiply this over several MCP servers and your chat session becomes bloated. It's not only costly but also unsable as you'll quickly run into the model's token limit.

nimble solves the problem by allowing tools to be lazy loaded only when they're needed. The idea is connect to a unified MCP server with concise tool summaries and let LLM discover and expand full tool description when needed.

When tested with popular MCP servers (Notion, Linear, Figma, etc.), we see over 99% token savings on initial load and 90% during typical chat sessions.

Installation

nimble runs over stdio. Configure your MCP client to launch it:
``
{
"mcpServers": {
"nimble-mcp": {
"command": "npx",
"args": ["-y", "nimble-mcp"],
"env": {
"NIMBLE_ENCRYPTION_KEY": "your-encryption-key",
"NIMBLE_UI_PORT": "3333"
}
}
}
}
`

The NIMBLE_UI_PORT determines the port for the local config server (default: http://localhost:3333).

The NIMBLE_ENCRYPTION_KEY is used to encrypt server credentials (access & refresh tokens), which are stored in local sqlite db.


Add OpenAI env vars here if you want LLM summaries to be automatically inferred when connecting a server.

Example:
`
{
"mcpServers": {
"nimble-mcp": {
"command": "npx",
"args": ["-y", "nimble-mcp"],
"env": {
"NIMBLE_ENCRYPTION_KEY": "your-encryption-key",
"OPENAI_API_KEY": "sk-...",
"OPENAI_MODEL": "gpt-5-mini"
}
}
}
}
`

Tools

- list-tools provides a list of available tools and a brief summary of each tool
- get-tool retrieves a given tool's detailed description and schema
- execute-tool performs the tool call that proxies the input argument to the original tool server




Quick guide

Once configuration in your MCP client complete, open the config dashboard (http://localhost:3333/) in the browser to setup MCP connections.

Add a server and authenticate

If you provided an OPENAI_API_KEY, the summaries will be automatically inferred by LLM (OpenAI for now). Otherwise, the first sentence from the description will be used. You may also customize this by clicking on the tool and modify the summary from the tool modal






You can also toggle tools on/off






Test out the server from the included MCP client







Repeat the process to add more MCP servers.

Development


Create a .env file in the repo root (see .env.example) to manage env vars locally.

`
npm run dev
`

$3


Server:
`
npm run build
npm run dev
npm test
`

UI:
`
npm run ui:build
npm run ui:dev
npm run ui:preview
`

$3


The server also hosts a local config UI on http://127.0.0.1:3333.
The UI reads and writes the SQLite DB.

Build UI once:
`
npm run ui:build
`
Or build UI + server:
`
npm run build
`

Run UI dev server:
`
npm run ui:dev
`

$3


Optional: auto-generate tool summaries on connect using OpenAI.
`
OPENAI_API_KEY=sk-... \
OPENAI_MODEL=gpt-5-mini \
npm run dev
`

$3

nimble stores configuration and tool cache in a local SQLite database.

Default DB path:
`
./nimble.sqlite
`

Override with:
`
NIMBLE_DB_PATH=/path/to/nimble.sqlite
`


OAuth flow by URL/transport (manual):
`
NIMBLE_ENCRYPTION_KEY=your-encryption-key node dist/index.js --server-url https://mcp.notion.com/mcp --transport streamableHttp
`
If the server does not exist yet, this will auto-add a default OAuth entry and use a local callback at http://127.0.0.1:8787/callback.

$3

`
npm login
npm publish --access public
``