mirror of
https://github.com/openswarm-ai/openswarm.git
synced 2026-08-20 19:52:23 +02:00
181 lines
6.4 KiB
Python
Executable File
181 lines
6.4 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
"""Stdio MCP server exposing WebSearch/WebFetch; registered only when no Claude credential is available."""
|
|
|
|
import json
|
|
import os
|
|
import sys
|
|
import urllib.error
|
|
import urllib.request
|
|
|
|
BACKEND_PORT = os.environ.get("OPENSWARM_PORT", "8324")
|
|
BACKEND_AUTH = os.environ.get("OPENSWARM_AUTH_TOKEN", "")
|
|
SEARCH_URL = f"http://127.0.0.1:{BACKEND_PORT}/api/web/search"
|
|
FETCH_URL = f"http://127.0.0.1:{BACKEND_PORT}/api/web/fetch"
|
|
|
|
# Primary-provider hint from agent_manager; backend picks the native search tool (googleSearch/web_search_preview) so searches use the user's existing budget.
|
|
PRIMARY_HINT = os.environ.get("OPENSWARM_PRIMARY_API", "") or None
|
|
|
|
TOOLS = [
|
|
{
|
|
"name": "WebSearch",
|
|
"description": (
|
|
"Search the web using DuckDuckGo and return titles, URLs, and "
|
|
"snippets for the top results. Works on any model primary, "
|
|
"requires no subscription. Use this for up-to-date information "
|
|
"that may not be in the model's training data."
|
|
),
|
|
"inputSchema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"query": {
|
|
"type": "string",
|
|
"description": "The search query.",
|
|
},
|
|
"num_results": {
|
|
"type": "integer",
|
|
"description": "Maximum number of results to return (1-10, default 5).",
|
|
"default": 5,
|
|
},
|
|
},
|
|
"required": ["query"],
|
|
},
|
|
},
|
|
{
|
|
"name": "WebFetch",
|
|
"description": (
|
|
"Fetch a URL and return its main content as plain text. "
|
|
"For HTML pages, the primary article / main-content region is "
|
|
"extracted (nav, footer, ads stripped). Non-HTML responses "
|
|
"are returned verbatim. Output capped at ~250 KB."
|
|
),
|
|
"inputSchema": {
|
|
"type": "object",
|
|
"properties": {
|
|
"url": {
|
|
"type": "string",
|
|
"description": "The URL to fetch. Must start with http:// or https://.",
|
|
},
|
|
"prompt": {
|
|
"type": "string",
|
|
"description": "Optional context hint describing what to look for.",
|
|
},
|
|
},
|
|
"required": ["url"],
|
|
},
|
|
},
|
|
]
|
|
|
|
|
|
def send_response(id_, result=None, error=None):
|
|
msg = {"jsonrpc": "2.0", "id": id_}
|
|
if error is not None:
|
|
msg["error"] = error
|
|
else:
|
|
msg["result"] = result
|
|
sys.stdout.write(json.dumps(msg) + "\n")
|
|
sys.stdout.flush()
|
|
|
|
|
|
def p_post(url: str, body: dict, timeout: float = 60.0) -> dict:
|
|
payload = json.dumps(body).encode()
|
|
headers = {"Content-Type": "application/json"}
|
|
if BACKEND_AUTH:
|
|
headers["Authorization"] = f"Bearer {BACKEND_AUTH}"
|
|
req = urllib.request.Request(
|
|
url,
|
|
data=payload,
|
|
headers=headers,
|
|
method="POST",
|
|
)
|
|
try:
|
|
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
|
return json.loads(resp.read().decode())
|
|
except urllib.error.HTTPError as e:
|
|
body_txt = e.read().decode(errors="replace") if e.fp else str(e)
|
|
return {"error": f"HTTP {e.code}: {body_txt[:500]}"}
|
|
except Exception as e:
|
|
return {"error": str(e)}
|
|
|
|
|
|
def handle_tool_call(tool_name: str, arguments: dict) -> dict:
|
|
if tool_name == "WebSearch":
|
|
query = str(arguments.get("query", "")).strip()
|
|
if not query:
|
|
return {"content": [{"type": "text", "text": "Error: query is required"}], "isError": True}
|
|
num = int(arguments.get("num_results", 5))
|
|
num = max(1, min(num, 10))
|
|
body = {"query": query, "num_results": num}
|
|
if PRIMARY_HINT:
|
|
body["primary"] = PRIMARY_HINT
|
|
r = p_post(SEARCH_URL, body, timeout=45.0)
|
|
if "error" in r:
|
|
return {"content": [{"type": "text", "text": f"Search failed: {r['error']}"}], "isError": True}
|
|
results = r.get("results", "")
|
|
if not results:
|
|
results = f"No results for: {query}"
|
|
return {"content": [{"type": "text", "text": results}]}
|
|
|
|
if tool_name == "WebFetch":
|
|
url = str(arguments.get("url", "")).strip()
|
|
if not url:
|
|
return {"content": [{"type": "text", "text": "Error: url is required"}], "isError": True}
|
|
if not url.startswith(("http://", "https://")):
|
|
return {"content": [{"type": "text", "text": f"Error: url must start with http:// or https:// (got {url!r})"}], "isError": True}
|
|
prompt = arguments.get("prompt") or None
|
|
body = {"url": url}
|
|
if prompt:
|
|
body["prompt"] = str(prompt)
|
|
if PRIMARY_HINT:
|
|
body["primary"] = PRIMARY_HINT
|
|
r = p_post(FETCH_URL, body, timeout=45.0)
|
|
if "error" in r:
|
|
return {"content": [{"type": "text", "text": f"Fetch failed: {r['error']}"}], "isError": True}
|
|
content = r.get("content", "")
|
|
if not content:
|
|
content = f"No content returned from {url}"
|
|
return {"content": [{"type": "text", "text": content}]}
|
|
|
|
return {"content": [{"type": "text", "text": f"Unknown tool: {tool_name}"}], "isError": True}
|
|
|
|
|
|
def main():
|
|
for line in sys.stdin:
|
|
line = line.strip()
|
|
if not line:
|
|
continue
|
|
try:
|
|
msg = json.loads(line)
|
|
except json.JSONDecodeError:
|
|
continue
|
|
|
|
method = msg.get("method")
|
|
id_ = msg.get("id")
|
|
params = msg.get("params", {}) or {}
|
|
|
|
if method == "initialize":
|
|
send_response(id_, {
|
|
"protocolVersion": "2024-11-05",
|
|
"capabilities": {"tools": {}},
|
|
"serverInfo": {
|
|
"name": "openswarm-web",
|
|
"version": "1.0.0",
|
|
},
|
|
})
|
|
elif method == "notifications/initialized":
|
|
pass
|
|
elif method == "tools/list":
|
|
send_response(id_, {"tools": TOOLS})
|
|
elif method == "tools/call":
|
|
tool_name = params.get("name", "")
|
|
arguments = params.get("arguments", {}) or {}
|
|
result = handle_tool_call(tool_name, arguments)
|
|
send_response(id_, result)
|
|
elif method == "ping":
|
|
send_response(id_, {})
|
|
elif id_ is not None:
|
|
send_response(id_, error={"code": -32601, "message": f"Method not found: {method}"})
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|