About mcp-server-fetch-feedstock
LocalAbout About mcp-server-fetch-feedstock
A conda-forge feedstock for packaging mcp-server-fetch. The underlying MCP server fetches web pages and converts HTML to Markdown for LLM use.
Key features
- 01Fetch web page content
- 02Convert HTML to Markdown
- 03Install through conda, mamba, or pixi
- 04Search available package versions
Use cases
- 01Package mcp-server-fetch through conda-forge
- 02Retrieve web pages for LLM processing
MCP support
The packaged mcp-server-fetch exposes web content fetching to MCP clients and converts HTML into Markdown.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAbout mcp-server-fetch-feedstock
Feedstock license: BSD-3-Clause
Home: https://github.com/modelcontextprotocol/servers/tree/main/src/fetch
Package license: MIT
Summary: A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
Current build status
| All platforms: |
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Current release info
| Name | Downloads | Version | Platforms |
|---|---|---|---|
 |  |  |  |
Installing mcp-server-fetch
Installing mcp-server-fetch from the conda-forge channel can be achieved by adding conda-forge to your channels with:
conda config --add channels conda-forge
conda config --set channel_priority strict
How to use
With conda
conda install mcp-server-fetch
With mamba
mamba install mcp-server-fetch
With pixi
# for adding to your local project
pixi add mcp-server-fetch
# for installing globally
pixi global install mcp-server-fetch
Search package versions
It is possible to list all of the versions of mcp-server-fetch available on your platform:
With conda
conda search mcp-server-fetch --channel conda-forge
With mamba
mamba search mcp-server-fetch --channel conda-forge
With pixi
pixi search mcp-server-fetch --channel conda-forge
With mamba repoquery, which may provide more information
# Search all versions available on your platform:
mamba repoquery search mcp-server-fetch --channel conda-forge
# List packages depending on `mcp-server-fetch`:
mamba repoquery whoneeds mcp-server-fetch --channel conda-forge
# List dependencies of `mcp-server-fetch`:
mamba repoquery depends mcp-server-fetch --channel conda-forge
About conda-forge
conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.
A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.
To manage the continuous integration and simplify feedstock maintenance,
conda-smithy has been developed.
Using the conda-forge.yml within this repository, it is possible to re-render all of
this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.
For more information, please check the conda-forge documentation.
Terminology
feedstock - the conda recipe (raw material), supporting scripts and CI configuration.
conda-smithy - the tool which helps orchestrate the feedstock.
Its primary use is in the construction of the CI .yml files
and simplify the management of many feedstocks.
conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)
Updating mcp-server-fetch-feedstock
If you would like to improve the mcp-server-fetch recipe or build a new
package version, please fork this repository and submit a PR. Upon submission,
your changes will be run on the appropriate platforms to give the reviewer an
opportunity to confirm that the changes result in a successful build. Once
merged, the recipe will be re-built and uploaded automatically to the
conda-forge channel, whereupon the built conda packages will be available for
everybody to install and use from the conda-forge channel.
Note that all branches in the conda-forge/mcp-server-fetch-feedstock are
immediately built and any created packages are uploaded, so PRs should be based
on branches in forks, and branches in the main repository should only be used to
build distinct package versions.
In order to produce a uniquely identifiable distribution:
- If the version of a package is not being increased, please add or increase
the
build/number. - If the version of a package is being increased, please remember to return
the
build/numberback to 0.
Feedstock Maintainers
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.