molclaw-scp-server
SkillCloud & infraAll tools utilized within MolClaw skills connect via the MCP protocol. This skill is the unified guide for connecting to the deployed MCP server before invoking tools.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the molclaw-scp-server skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/molclaw in skills/L1_tools/molclaw-scp-server/SKILL.md and read by ahel’s review.
SCP (Science Context Protocol) is an open-source standard protocol designed to accelerate scientific discovery by building a global collaboration network for autonomous scientific agents, connecting heterogeneous scientific resources (software tools, AI models, datasets, workflow engines, lab instruments, etc.).
1. Server Definition
If MCP environment. is not installed, please run pip install mcp.
Configure the credential through the repository environment template. Never write an API key into a skill, source file, command example, or committed configuration file.
cd /path/to/MolClaw
cp .env.template .env
# Set SCP_HUB_API_KEY in .env, then load it into the current shell:
set -a
source .env
set +a
The server is defined as below:
import json
import os
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
DrugSDA_Tool_SERVER_URL = "https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool"
class DrugSDAClient:
def __init__(self, server_url: str):
self.server_url = server_url
self.session = None
self.api_key = os.environ.get("SCP_HUB_API_KEY")
if not self.api_key:
raise RuntimeError(
"SCP_HUB_API_KEY is not set. Copy .env.template to .env, "
"set the key, and load .env into the current shell."
)
async def connect(self):
print(f"server url: {self.server_url}")
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
session_id = self.get_session_id()
print(f"✓ connect success")
return True
except Exception as e:
print(f"✗ connect failure: {e}")
import traceback
traceback.print_exc()
return False
async def disconnect(self):
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
2. Server Connection
The initialization and shutdown of the MCP server are shown below:
## When start, connect the MCP server
client = DrugSDAClient(DrugSDA_Tool_SERVER_URL)
if not await client.connect():
print("connection failed")
return
## When finish, disconnect the MCP server
await client.disconnect()
Note: The deployed MolClaw tool endpoint is https://scp.intern-ai.org.cn/api/v1/mcp/2/DrugSDA-Tool.
Signals
- GitHub stars
- 33
- Forks
- 3
- Last commit
- Aug 2026
Advanced
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molclaw-scp-server- Source
- github.com/internscience/molclaw