package snf_mcp
Install
    
    dune-project
 Dependency
Authors
Maintainers
Sources
sha256=82e74f87174c48fc57abbfcd915fac3278354ce3a6745ce5d2910125b02caf19
    
    
  sha512=d059c2624f8cb5a2055658768280bb2f6d69b19774d15858cdbd74d01dc6ff5101b03a390f21b79dded509157802ee5be3032b2344f0299b7445f1292359161c
    
    
  doc/README.html
Web fetch and search MCP Server
A Model Context Protocol (MCP) server that provides web search, Wikipedia search, and web content fetching capabilities, written in OCaml using the eio asynchronous runtime.
Features
- DuckDuckGo Search: Search the web using DuckDuckGo's search engine
 - Wikipedia Search: Search Wikipedia for articles and content
 - Web Content Fetching: Fetch and parse content from web pages, with support for both cleaned-up HTML and Markdown formats
 - Rate Limiting: Built-in rate limiting to respect service limits
 - MCP Protocol: Fully compatible with the Model Context Protocol specification (vendoring https://tangled.sh/@anil.recoil.org/ocaml-mcp/)
 - Asynchronous: Built on Eio for efficient concurrent operations
 
Tools Provided
search
Search DuckDuckGo and return formatted results.
Parameters:
query(string, required): The search query stringmax_results(integer, optional): Maximum number of results to return (default: 10)
Example:
{
  "query": "OCaml programming language",
  "max_results": 5
}search_wikipedia
Search Wikipedia and return formatted results.
Parameters:
query(string, required): The search query stringmax_results(integer, optional): Maximum number of results to return (default: 10)
Example:
{
  "query": "OCaml programming language",
  "max_results": 5
}fetch_content
Fetch and parse content from a webpage URL.
Parameters:
url(string, required): The webpage URL to fetch content frommax_length(integer, optional): Maximum length (in bytes) of content to return (default: 8192). Set-1to disable length limit.start_from(integer, optional): Byte offset to start returning content from (default: 0)
Example:
{
  "url": "https://example.com/article",
  "max_length": 16384,
  "start_from": 1024
}fetch_markdown
Fetch and parse content from a webpage URL as Markdown.
Parameters:
url(string, required): The webpage URL to fetch content frommax_length(integer, optional): Maximum length (in bytes) of content to return (default: 8192). Set-1to disable length limit.start_from(integer, optional): Byte offset to start returning content from (default: 0)
Example:
{
  "url": "https://example.com/article",
  "max_length": 16384,
  "start_from": 1024
}Usage
Running the Server
The snf-mcp binary supports two modes of operation:
- HTTP Server Mode (default): Listens on a network port
 - Standard I/O Mode: Communicates through stdin/stdout
 
Caveat: the installed binary is called snf-mcp
Start the MCP server in HTTP mode on port 3000:
dune exec snf-mcp -- --serve 3000Use Standard I/O mode (useful for integrating with LLM clients):
dune exec snf-mcpWhen installed via OPAM, you can run it directly:
snf_mcp [--serve PORT | --stdio]
  --serve  Run http server, listening on PORT
  --stdio  Use stdio for communication instead of port (default)
  --debug  Enable debug logging
  --verbose  Enable verbose logging
  --quiet  Suppress non-error logs (default)
  -help  Display this list of options
  --help  Display this list of optionsTesting the Server
HTTP Mode
When running in HTTP mode, you can test if the server is working by sending MCP protocol messages using curl.
First start the server with:
dune exec snf-mcp --serve 8080Then, on a different terminal, you can use curl to interact with the server. Here are some example requests:
List available tools:
curl -X POST http://localhost:8080 -H "Content-Type: application/json" -d '{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}'Perform a search:
curl -X POST http://localhost:8080 -H "Content-Type: application/json" -d '{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "search",
    "arguments": {
      "query": "OCaml programming language",
      "max_results": 3
    }
  }
}'Fetch webpage content:
curl -X POST http://localhost:8080 -H "Content-Type: application/json" -d '{
  "jsonrpc": "2.0",
  "id": 3,
  "method": "tools/call",
  "params": {
    "name": "fetch_content",
    "arguments": {
      "url": "https://ocaml.org"
    }
  }
}'Search Wikipedia:
curl -X POST http://localhost:8080 -H "Content-Type: application/json" -d '{
  "jsonrpc": "2.0",
  "id": 4,
  "method": "tools/call",
  "params": {
    "name": "search_wikipedia",
    "arguments": {
      "query": "OCaml programming language",
      "max_results": 3
    }
  }
}'Fetch webpage content as Markdown:
curl -X POST http://localhost:8080 -H "Content-Type: application/json" -d '{
  "jsonrpc": "2.0",
  "id": 5,
  "method": "tools/call",
  "params": {
    "name": "fetch_markdown",
    "arguments": {
      "url": "https://ocaml.org"
    }
  }
}'Standard I/O Mode
When using stdio mode, you can pipe JSON-RPC requests to the binary:
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | dune exec snf-mcp | jqecho '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"search","arguments":{"query":"OCaml programming language"}},"id":2}' | dune exec snf-mcp | jqecho '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"search_wikipedia","arguments":{"query":"OCaml programming language"}},"id":3}' | dune exec snf-mcp | jqecho '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"fetch_content","arguments":{"url":"https://ocaml.org"}},"id":4}' | dune exec snf-mcp | jqecho '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"fetch_markdown","arguments":{"url":"https://ocaml.org"}},"id":5}' | dune exec snf-mcp | jqThis mode is particularly useful when integrating with LLM clients that communicate over stdin/stdout.
Installation
Build from Source
- Clone the repository
 - Install dependencies and build:
 
$ cd snf_mcp
$ opam install . --deps-only
$ dune build
$ dune installThis will make the snf-mcp binary available in your PATH.
Integration with MCP Clients
This server can be integrated with any MCP-compatible client. Configure your client to connect to this server using the appropriate transport method. Below we show how to configure the stdio version, the remote version is very similar. Keep in mind that this is early software and not recommended for production or to be exposed on unprotected networks.
LLM CLI
Install the llm-tools-mcp plugin with
llm install llm-tools-mcpthen edit (or create) ~/.llm-tools-mcp/mcp.json with
{
  "mcpServers": {
    "snf_mcp": {
      "command": "/path/to/snf-mcp",
      "args": [
        "--stdio"
      ]
    }
  }
}LMStudio
Edit the json file from the interface adding the same json entry as in the LLM CLI example above. See also the official documentation.
Jan
Use the full path to snf_mcp as command, and --stdio as the only argument. See also the official documentation.
Note, I was only able to configure stdio-based mcp servers with Jan.
Rate Limiting
The server implements rate limiting to be respectful to external services:
- Search requests (DuckDuckGo and Wikipedia): Limited to 30 requests per minute
 - Content fetching: Limited to 20 requests per minute
 
Troubleshooting
Rate Limiting Issues
If you encounter errors or timeout messages, you might be hitting the rate limits. The server will automatically wait when rate limits are reached, but external services might still block requests if they detect automated usage.
Search Quality
DuckDuckGo's search results are parsed from the HTML response. If search results appear incorrect or incomplete, it might be due to:
- DuckDuckGo changing their HTML structure
 - Bot detection preventing proper results
 - Issues with the search query format
 
Try rephrasing your query or checking if DuckDuckGo's service is functioning normally.
Content Extraction Quality
The fetch_markdown tool tries to use the trafilatura Python library if it's available on your system, as it produces higher quality text extraction. If trafilatura is not found, it falls back to jina reader.
For best results, consider installing trafilatura, for example in one of the following 3 ways:
uv tool install trafilatura # Method 1: Using `uv` tool
pipx install trafilatura # Method 2: Using `pipx`
pip install trafilatura # Method 3: Using `pip`TODO
- Use pagination in the fetch