A built-in client for connecting a coding agent to MCP servers, which are programs that provide extra tools or access to services. It supports local command-based servers and remote HTTP servers.

Use it to connect tools for files, GitHub, databases, APIs, or other services and make them available across conversations.

It makes tools from connected servers available to the agent without manually calling a separate bridge program each time.

native-mcp — Skill by StarryCod

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/starrycod/cogitum/native-mcp

Any agent

npx skills add StarryCod/cogitum --skill native-mcp

Clone the repo

git clone --depth 1 https://github.com/StarryCod/cogitum

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,977 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 84% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00018	$0.02977
Opus 5	$0.00009	$0.01489
Sonnet 5	$0.00004	$0.00595
Haiku 4.5	$0.00002	$0.00298

Measured 2d ago against content hash f97f3c937e87, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

native-mcp 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 2d 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.

Origin

This is a copy

84% identical to native-mcp — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

cogitum/data/skills/mcp/native-mcp/SKILL.md · 358 lines

How it starts

The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Native MCP Client

Cogitum has a built-in MCP client that connects to MCP servers at startup, discovers their tools, and makes them available as first-class tools the agent can call directly. No bridge CLI needed -- tools from MCP servers appear alongside built-in tools like terminal, read_file, etc.

When to Use

Use this whenever you want to:

Connect to MCP servers and use their tools from within Cogitum
Add external capabilities (filesystem access, GitHub, databases, APIs) via MCP
Run local stdio-based MCP servers (npx, uvx, or any command)
Connect to remote HTTP/StreamableHTTP MCP servers
Have MCP tools auto-discovered and available in every conversation

For ad-hoc, one-off MCP tool calls from the terminal without configuring anything, see the mcporter skill instead.

Prerequisites

mcp Python package -- optional dependency; install with pip install mcp. If not installed, MCP support is silently disabled.
Node.js -- required for npx-based MCP servers (most community servers)
uv -- required for uvx-based MCP servers (Python-based servers)

Install the MCP SDK:

pip install mcp
# or, if using uv:
uv pip install mcp

Quick Start

Add MCP servers to ~/.config/cogitum/config.yaml under the mcp_servers key:

mcp_servers:
  time:
    command: "uvx"
    args: ["mcp-server-time"]

Restart Cogitum. On startup it will:

Connect to the server
Discover available tools
Register them with the prefix mcp_time_*
Inject them into all platform toolsets

You can then use the tools naturally -- just ask the agent to get the current time.

Configuration Reference

Each entry under mcp_servers is a server name mapped to its config. There are two transport types: stdio (command-based) and HTTP (url-based).

Stdio Transport (command + args)

mcp_servers:
  server_name:
    command: "npx"             # (required) executable to run
    args: ["-y", "pkg-name"]   # (optional) command arguments, default: []
    env:                       # (optional) environment variables for the subprocess
      SOME_API_KEY: "value"
    timeout: 120               # (optional) per-tool-call timeout in seconds, default: 120
    connect_timeout: 60        # (optional) initial connection timeout in seconds, default: 60

Read the full file on GitHub · 358 lines

Changes

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.

2d ago First seen · 358 lines · 18 tokens per session scan A f97f3c937e87

Subscribe to this mod's changes

native-mcp is a skill published in the GitHub repository StarryCod/cogitum (11 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 2,977 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to native-mcp, differing in 33 lines, and is treated as a copy.

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