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MCP Community Begins Work on Official MCP Metaregistry
The MCP community is launching an official registry to standardize AI tool discovery and let agents dynamically find and install MCP servers.
A simple blog engine—but not simpler than it should be.
Or run the project from the root of this repository:
poetry install
./bin/dev-server.sh
travels
and best
.my-cool-experiments-with-chatgpt
.my-cool-blog.org
-> my-cool-blog.org/<language>/
Set environment variables:
BRIGID_ENVIRONMENT="prod"
# Path to your content directory.
# You can find examples here:
# - ./test-content
# - https://github.com/Tiendil/tiendil-org-content/tree/main/content
BRIGID_LIBRARY_DIRECTORY="<path-to-your-content-dir>"
# Optional: Brigid will store files here for your reverse proxy to serve.
BRIGID_API_CACHE_DIRECTORY="<path-to-your-cache-dir>"
# Python list of allowed origins for CORS:
BRIGID_ORIGINS="[\"https://my-site.org\"]"
Install and run the server:
pip install brigid uvicorn
uvicorn brigid.application.application:app \
--host 0.0.0.0 \
--port 8000 \
--workers 4
That’s it! You’ll have a server running on port 8000.
Consider the following for production deployment:
A subjective list of design principles I follow in this project:
FAQs
Static site generator.
We found that brigid demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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