chatmcp/mcp-server-collector

Find MCP servers published on the internet

Before you install: no copy-paste command · no license recorded · link reachable

First step: npx @modelcontextprotocol/inspector uv --directory path-to/mcp-server-collector run mcp-server-collector

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site

Install & config

Client config (built from the install command this repo gives)

{
  "mcpServers": {
    "chatmcp-mcp-server-collector": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

Parsed from the README we fetched on 2026-11-07; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.

VS Code (.vscode/mcp.json - the key is servers)

{
  "servers": {
    "chatmcp-mcp-server-collector": {
      "command": "uvx",
      "args": ["mcp-server-fetch"]
    }
  }
}

Same server, but VS Code keeps it under <code>servers</code>.

Claude Code (command line)

claude mcp add --transport stdio chatmcp-mcp-server-collector -- uvx mcp-server-fetch

Claude Code does not read a config file; add the server with this command.

Key names differ by client: Clients & CLI

Source: collected from the abordage/awesome-mcp list · type: MCP server
Harvest history: first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score: score 1,003 · 10 sources · mcp
Install: uvx mcp-server-fetch

FAQ (answers come from our records)

How do I install it?

The repository provides this install command: uvx mcp-server-fetch. It comes from the repository itself; we cannot guarantee it runs as-is in your client.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# mcp-server-collector MCP server

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

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

Listed badge (optional)

Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.

[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/chatmcp-mcp-server-collector/)

Source: awesome · https://github.com/chatmcp/mcp-server-collector
Browse by field: MCP servers
Listed by: 10 independent sources
added: today

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