菜单
Connect to an AI agent via MCP using their mcp_url from CRM. Discovers capabilities via agent.json, registers MCP server, and enables tool-based communication.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/aAAaqwq/AGI-Super-Team --skill mcp-agent-connect命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | mcp-agent-connect |
| description | Connect to an AI agent via MCP using their mcp_url from CRM. Discovers capabilities via agent.json, registers MCP server, and enables tool-based communication. |
| allowed-tools | Read, Bash, WebFetch |
Look up an agent's MCP endpoint from CRM, discover their capabilities, register in Claude Code, and interact via tools.
mcp_url set and user wants to interact| What | Path |
|---|---|
| CRM Companies | $CRM_PATH/contacts/companies.csv |
| CRM People | $CRM_PATH/contacts/people.csv |
| Activities | $CRM_PATH/activities.csv |
Parse $ARGUMENTS for the contact name or company name.
import pandas as pd
name = "$1" # contact or company name from arguments
# Search people
people = pd.read_csv()
= people[
people[]..contains(name, =, na=) |
people[]..contains(name, =, na=)
]
companies = pd.read_csv()
comp_match = companies[
companies[]..contains(name, =, na=)
]
.empty pd.notna(.iloc[].get()):
mcp_url = .iloc[][]
contact_name =
comp_match.empty pd.notna(comp_match.iloc[].get()):
mcp_url = comp_match.iloc[][]
contact_name = comp_match.iloc[][]
:
()
exit()
If the user provided a URL directly instead of a contact name, skip CRM lookup and use the URL.
Use WebFetch to get the agent discovery endpoint:
URL: {base_url}/.well-known/agent.json
Where base_url = mcp_url with trailing /mcp/ removed.
Parse the response for:
name -- agent namedescription -- what the agent doescapabilities -- dict of capability → {url, tools}Show the user what this agent can do.
Generate a slug from the agent name:
import re
slug = re.sub(r'[^a-z0-9-]', '', name.lower().replace(' ', '-'))
Register in Claude Code:
claude mcp add <slug> --transport http <mcp_url>
Tell the user: "Agent {name} registered as {slug}. Restart your Claude Code session to use their tools."
After any MCP interaction, log to activities.csv:
import csv
from datetime import date
activity = {
'activity_id': f'act-mcp-{date.today().isoformat()}',
'person_id': person_id, # if known
'company_id': company_id, # if known
'type': 'message', # or 'meeting' for bookings
'channel': 'mcp',
'direction': 'outbound',
'subject': f'MCP interaction with {contact_name}',
'notes': 'Describe what tools were called and the outcome',
'date': str(date.today()),
'created_by': 'ai',
}
Update the contact's last_contact and last_updated fields.
| Problem | Solution |
|---|---|
| Tools not available after add | Restart Claude Code session |
| agent.json not found | Check URL, try {base_url}/.well-known/agent.json in browser |
| Connection timeout | Verify agent server is running and accessible |
| MCP URL returns 404 | Ensure URL ends with / (trailing slash) |
| No mcp_url in CRM | Ask user to provide the URL, then add it to the contact record |
agent-contacts -- local agent phone book (add/list/remove without CRM)log-activity -- log any communication to activities.csvquery-leads -- find CRM contacts, filter by mcp_url