Moltis is a persistent personal agent server written in Rust that runs on hardware controlled by its user. It provides an AI agent with sandboxed command execution, model-provider connections, memory, voice, scheduling, messaging integrations, browser automation, and MCP tools. Its catalogue add-ons extend the agent’s workflows and available tools.
Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/moltis-org/moltis/mcp-servers)<a href="https://agentmods.dev/skills/moltis-org/moltis/mcp-servers"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/mcp-servers/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/moltis-org/moltis/mcp-servers"><img src="https://agentmods.dev/badge/skills/moltis-org/moltis/mcp-servers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01535 |
| Opus 5 | $0.00021 | $0.00767 |
| Sonnet 5 | $0.00008 | $0.00307 |
| Haiku 4.5 | $0.00004 | $0.00153 |
Grade A, and why
mcp-servers scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Server Management
Manage MCP (Model Context Protocol) servers that provide external tools to the agent. MCP servers extend the agent's capabilities by exposing tools over stdio, SSE, or streamable-HTTP transports.
Agent Tools
The agent has built-in tools for MCP management — no sandbox, network, or CLI needed:
mcp_list— list all configured servers with statusmcp_add— add a new server (params:name,command,args,transport,url,env,display_name)mcp_remove— remove a server (params:name)mcp_status— detailed status for a server (params:name)mcp_restart— restart a running server (params:name)
These are the preferred way to manage MCP servers from skills. Use them directly.
RPC Methods
For advanced use or direct API access, the full RPC namespace is documented below.
Listing Servers
// RPC: mcp.list
Returns all configured servers with their connection status, transport type, and enabled state.
Adding a Server
Stdio transport (local process)
// RPC: mcp.add
{
"name": "filesystem",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/documents"]
}
SSE transport (remote)
// RPC: mcp.add
{
"name": "remote-tools",
"transport": "sse",
"url": "https://mcp.example.com/sse"
}
Streamable HTTP transport
// RPC: mcp.add
{
"name": "api-tools",
"transport": "streamable-http",
"url": "https://mcp.example.com/mcp"
}
With environment variables
// RPC: mcp.add
{
"name": "github",
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_..." }
}
With custom display name
// RPC: mcp.add
{
"name": "gbrain",
"command": "gbrain",
"args": ["serve", "--mcp"],
"display_name": "GBrain Knowledge Base"
}
Returns { "ok": true, "name": "<final_name>" }. If a server with the same name already exists, a numeric suffix is appended automatically (e.g. github-2).
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 251 lines · 42 tokens per session scan A 734c0d8cfc8b
mcp-servers is a skill published in the GitHub repository moltis-org/moltis (2,846 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 1,535 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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