Long-term memory for AI coding agents: durable project facts, recalled by every MCP client.
Brainfeather is an MCP integration. Long-term memory for AI coding agents: durable project facts, recalled by every MCP client.
The registry lists a streamable-http connection at https://brainfeather.com/mcp. The endpoint declares these request headers: Authorization, x-brainfeather-project.
The published npm package is @brainfeather/mcp, version 1.6.3. Its declared MCP transport is stdio.
The package declares BRAINFEATHER_API_KEY (required): Your Brainfeather API key, from https://brainfeather.com/api-keys.
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project website. This profile uses version 1.6.3 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related developer tools MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| BRAINFEATHER_API_KEY | Your Brainfeather API key, from https://brainfeather.com/api-keys | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
I've personally moved my efforts to a more generic OpenAPI spec based MCP: https://github.com/allen-munsch/yas-mcp Additionally, there is actually an official beta release by prefect over here…
Demo stdio MCP server (tools, resource, prompt) for tinymcp tests—not production use.
Project memory, tasks and Telegram notifications for your coding agent. Chip account required.
This project implements an intelligent server based on [FastMCP](https://github.com/antero-ferreira/fastmcp), allowing you to query and analyze