监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
日本語の概要は準備中です。原文の説明を表示しています。
AI agent contacts — add, list, remove MCP contacts. Use when someone gives an agent URL, or when you need to view/remove contacts.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Contact book for AI agents. Add an MCP address and your Claude Code can communicate with other agents.
/agent-contacts add <url> — add a new contact/agent-contacts list — show all contacts/agent-contacts remove <name> — remove a contact| What | Path |
|---|---|
| Contacts DB | ~/.claude/agent-contacts.json |
[
{
"name": "Your Name",
"slug": "ivan-schedule",
"mcp_url": "https://your-agent.example.com/mcp/",
"discovery_url": "https://your-agent.example.com/.well-known/agent.json",
"capabilities": ["scheduling"],
"description": "Scheduling agent for Your Name",
"added": "2026-02-26"
}
]
Parse $ARGUMENTS to determine the command: first word is the command (add, list, remove), the rest is the argument.
/agent-contacts add <url>import json, re
from datetime import date
from pathlib import Path
CONTACTS_FILE = Path.home() / ".claude" / "agent-contacts.json"
# 1. Load existing contacts
if CONTACTS_FILE.exists():
contacts = json.loads(CONTACTS_FILE.read_text())
else:
contacts = []
# 2. Normalize URL — $ARGUMENTS[1] is the URL
url = "$1".strip().rstrip("/")
if not url.endswith("agent.json"):
discovery_url = url + "/.well-known/agent.json"
else:
discovery_url = url
url = url.rsplit("/.well-known/agent.json", 1)[0]
# 3. Use WebFetch to get agent.json content, then parse:
# - name = agent_data["name"]
# - description = agent_data.get("description", "")
# - capabilities = list(agent_data.get("capabilities", {}).keys())
# - mcp_url = agent_data["capabilities"][first_cap]["url"]
# Ensure mcp_url ends with "/"
# 4. Generate slug
slug = re.sub(r"[^a-z0-9-]", "", name.lower().replace(" ", "-"))
# 5. Check for duplicates
if any(c["slug"] == slug for c in contacts):
print(f"Contact '{name}' already exists.")
else:
contacts.append({
"name": name,
"slug": slug,
"mcp_url": mcp_url,
"discovery_url": discovery_url,
"capabilities": capabilities,
"description": description,
"added": str(date.today()),
})
CONTACTS_FILE.write_text(json.dumps(contacts, indent=2, ensure_ascii=False))
After saving to JSON, run:
claude mcp add <slug> --transport http <mcp_url>
Notify: "Contact <name> added. Restart Claude Code session to use their tools."
/agent-contacts listimport json
from pathlib import Path
CONTACTS_FILE = Path.home() / ".claude" / "agent-contacts.json"
if not CONTACTS_FILE.exists():
print("No agent contacts yet. Use '/agent-contacts add <url>' to add one.")
else:
contacts = json.loads(CONTACTS_FILE.read_text())
if not contacts:
print("No agent contacts yet.")
else:
for i, c in enumerate(contacts, 1):
caps = ", ".join(c.get("capabilities", []))
print(f" {i}. {c['name']} ({c['slug']})")
print(f" MCP: {c['mcp_url']}")
print(f" Capabilities: {caps}")
print()
/agent-contacts remove <name-or-slug>import json
from pathlib import Path
CONTACTS_FILE = Path.home() / ".claude" / "agent-contacts.json"
target = "$1".strip().lower() # name or slug
contacts = json.loads(CONTACTS_FILE.read_text())
match = [c for c in contacts if c["slug"] == target or c["name"].lower() == target]
if not match:
print(f"Contact '{target}' not found.")
else:
slug = match[0]["slug"]
name = match[0]["name"]
contacts = [c for c in contacts if c["slug"] != slug]
CONTACTS_FILE.write_text(json.dumps(contacts, indent=2, ensure_ascii=False))
After removing from JSON, run:
claude mcp remove <slug>
Notify: "Contact <name> removed."
Simply send the link:
https://your-agent.example.com/.well-known/agent.json
If the person has this skill:
/agent-contacts add https://your-agent.example.com
If they don't have the skill -- one command:
claude mcp add ivan-schedule --transport http https://your-agent.example.com/mcp/
agent-contacts.json is created automatically on the first add/ (trailing slash)add, a new session of Claude Code is required for MCP tools to become availableclaude mcp add/remove), hence disable-model-invocation: truedeploy-website — deploy page with instructions for new contactsまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
日本語の概要は準備中です。原文の説明を表示しています。
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.
日本語の概要は準備中です。原文の説明を表示しています。
Expert sales execution covering pipeline management, discovery, demos, negotiation, and deal closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Support accounting understanding from basic bookkeeping to professional practice and research.
日本語の概要は準備中です。原文の説明を表示しています。
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Add company/person/relationship to CRM
日本語の概要は準備中です。原文の説明を表示しています。