agent-nero
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ANTHROPIC_API_KEY | Yes | Anthropic API key for agent LLM calls |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| nero_spawnA | Create a new named persistent agent. The agent stays alive in memory with full conversation history until killed. |
| nero_askA | Send a message to a persistent agent and receive its response. The agent remembers all prior conversation. It can use tools (read files, search, run commands) to do real work. |
| nero_broadcastA | Send a message to all agents (or a filtered subset by tags). Optionally collect all responses. |
| nero_statusA | Get an overview of the agent pool, or detailed status for a specific agent. |
| nero_memory_writeA | Write a key-value entry to the shared memory bus. All agents and Master Control can read it. |
| nero_memory_readA | Read entries from the shared memory bus. Can read a specific key, all keys with a prefix, or all entries. |
| nero_memory_dumpA | Export memory bus entries matching a prefix to a JSON file on disk. Use for pipeline recovery, monitoring, and reports. |
| nero_killA | Terminate a named agent. Its conversation history and context are permanently destroyed. |
| nero_resetB | Clear an agent's conversation history and token counter, but keep the agent alive with its configuration intact. |
| nero_configureA | Update an agent's configuration at runtime (model, history limit, token limit, system prompt, tags). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/sanchez314c/agent-nero'
If you have feedback or need assistance with the MCP directory API, please join our Discord server