https://github.com/chatmcp/mcp-server-collector
A MCP Server used to collect MCP Servers over the internet.
https://github.com/chatmcp/mcp-server-collector
mcp-server-collector submit-mcp-server
Last synced: about 2 months ago
JSON representation
A MCP Server used to collect MCP Servers over the internet.
- Host: GitHub
- URL: https://github.com/chatmcp/mcp-server-collector
- Owner: chatmcp
- Created: 2024-12-08T16:07:20.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-12-08T16:07:37.000Z (11 months ago)
- Last Synced: 2025-08-01T19:53:09.262Z (3 months ago)
- Topics: mcp-server-collector, submit-mcp-server
- Language: Python
- Homepage: https://mcp.so
- Size: 32.2 KB
- Stars: 18
- Watchers: 1
- Forks: 6
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-mcp-servers - **mcp-server-collector** - A MCP Server used to collect MCP Servers over the internet. `python` `mcp-server-collector` `submit-mcp-server` `mcp` `server` `pip install git+https://github.com/chatmcp/mcp-server-collector` (🤖 AI/ML)
- awesome-mcp-servers - **mcp-server-collector** - A MCP Server used to collect MCP Servers over the internet. `python` `mcp-server-collector` `submit-mcp-server` `mcp` `server` `pip install git+https://github.com/chatmcp/mcp-server-collector` (AI/ML)
- metorial-index - Server Collector - Collects and submits MCP servers over the internet, facilitating the gathering and indexing of various MCP servers for easier access and discovery. (Task and Project Management)
README
# mcp-server-collector MCP server
A MCP Server used to collect MCP Servers over the internet.
## Components
### Resources
No resources yet.
### Prompts
No prompts yet.
### Tools
The server implements 3 tools:
- extract-mcp-servers-from-url: Extracts MCP Servers from given URL.
- Takes "url" as required string argument
- extract-mcp-servers-from-content: Extracts MCP Servers from given content.
- Takes "content" as required string argument
- submit-mcp-server: Submits a MCP Server to the MCP Server Directory like mcp.so.
- Takes "url" as required string argument and "avatar_url" as optional string argument
## Configuration
.env file is required to be set up.
```txt
OPENAI_API_KEY="sk-xxx"
OPENAI_BASE_URL="https://api.openai.com/v1"
OPENAI_MODEL="gpt-4o-mini"
MCP_SERVER_SUBMIT_URL="https://mcp.so/api/submit-project"
```
## Quickstart
### Install
#### Claude Desktop
On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`
Development/Unpublished Servers Configuration
```
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
},
"mcp-server-collector": {
"command": "uv",
"args": [
"--directory",
"path-to/mcp-server-collector",
"run",
"mcp-server-collector"
],
"env": {
"OPENAI_API_KEY": "sk-xxx",
"OPENAI_BASE_URL": "https://api.openai.com/v1",
"OPENAI_MODEL": "gpt-4o-mini",
"MCP_SERVER_SUBMIT_URL": "https://mcp.so/api/submit-project"
}
}
}
```
Published Servers Configuration
```
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
},
"mcp-server-collector": {
"command": "uvx",
"args": [
"mcp-server-collector"
],
"env": {
"OPENAI_API_KEY": "sk-xxx",
"OPENAI_BASE_URL": "https://api.openai.com/v1",
"OPENAI_MODEL": "gpt-4o-mini",
"MCP_SERVER_SUBMIT_URL": "https://mcp.so/api/submit-project"
}
}
}
```
## Development
### Building and Publishing
To prepare the package for distribution:
1. Sync dependencies and update lockfile:
```bash
uv sync
```
2. Build package distributions:
```bash
uv build
```
This will create source and wheel distributions in the `dist/` directory.
3. Publish to PyPI:
```bash
uv publish
```
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`
### Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).
You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:
```bash
npx @modelcontextprotocol/inspector uv --directory path-to/mcp-server-collector run mcp-server-collector
```
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
## Community
- [MCP Server Telegram](https://t.me/+N0gv4O9SXio2YWU1)
- [MCP Server Discord](https://discord.gg/RsYPRrnyqg)
## About the author
- [idoubi](https://bento.me/idoubi)
- [mcp.so](https://mcp.so)