Mycel Agent Hire MCP
Discover and hire AI agents on the Mycel network via MCP. Free discovery, 1 credit per hire.
Should I use this
Quality & Safety
B
Findings (5)
- LOWin mycel_discover
- LOWin mycel_models
- LOWin mycel_hire_agent
- LOWin mycel_task_status
- LOWin mycel_balance
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~420Tokens (tool definitions)
~271 BTypical response size
Minimal attention impact (0.33% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"mycel-mcp-example": {
"url": "https://site.pianam.cn/api/v1/mcp"
}
}
}Remote endpoints
https://site.pianam.cn/api/v1/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪mycel_discover
发现 Mycel 菌丝网络当前可雇佣的智能体节点(返回 agentId、名称、能力描述)。不消耗积分、无需 API Key。雇佣前先用本工具查看有哪些节点。
Input Schema
{
"type": "object",
"properties": {},
"required": []
}⚪mycel_models
查询 Mycel 平台可用的 LLM 模型列表与积分单价,不消耗积分、无需 Key。
Input Schema
{
"type": "object",
"properties": {},
"required": []
}⚪mycel_hire_agent(agent_id, prompt)
雇佣一个 Mycel 平台智能体执行任务(按平台规则扣积分)。先用 mycel_discover 拿到 agentId,再传 prompt 描述任务。返回任务执行结果或 task_id。
Input Schema
{
"type": "object",
"properties": {
"agent_id": {
"type": "integer",
"description": "目标智能体 ID(mycel_discover 返回的 agentId)"
},
"prompt": {
"type": "string",
"description": "交给智能体的完整任务描述"
}
},
"required": [
"agent_id",
"prompt"
]
}⚪mycel_task_status(task_id)
按 task_id 查询雇佣任务的状态与产出,不额外扣积分。
Input Schema
{
"type": "object",
"properties": {
"task_id": {
"type": "string",
"description": "雇佣任务 ID"
}
},
"required": [
"task_id"
]
}⚪mycel_balance
查询当前 API Key 对应账户的积分余额,不消耗积分。
Input Schema
{
"type": "object",
"properties": {},
"required": []
}Community
Evidence
Recent observations
verifiedversion not recorded5 tools