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Mcp Server Tools

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samugit83
mcp-server-tools

Adding, removing or changing a tool on RedAmon's INBOUND MCP server, where external agents connect in with a personal access token. The wiki API reference is generated from the server's live tools/list and goes stale silently, and each tool's annotations and declared scopes are published to connected clients. Trigger: editing a registerTool call in webapp/src/lib/mcp/server.ts; editing tools.ts, writeTools.ts, scopeCopy.ts or apiReference.ts in webapp/src/lib/mcp/; changing the scope list, default scopes, expiry presets or token prefix in webapp/src/lib/mcpAuth.ts.

Overview

Publishersamugit83
Repositoryredamon
Skill namemcp-server-tools
Stars
2.5K
Forks
504
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by samugit83 on GitHub. Read the source before you install it.

Installation

Install the Mcp Server Tools AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samugit83/redamon.git /tmp/redamon
mkdir -p .claude/skills
cp -r /tmp/redamon/skills/mcp-server-tools .claude/skills/mcp-server-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Server Tools in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Server Tools on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Server Tools is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to Use

  • Adding, removing or renaming an inbound MCP tool, or changing its description, arguments, annotations or scopes.
  • Changing a token scope, its label or blurb, the expiry presets or the token prefix.

For a tool RedAmon's OWN agent calls (outbound, mcp/servers/), use agentic-tool-integration. For making a recon setting writable over MCP, use project-settings-cascade. The tools that exist are listed by the server itself and by the generated reference page, never by this skill.


Critical Rules

  • ALWAYS run npm run docs:mcp in webapp/ after any change this skill's trigger names, and commit MCP-API-Reference.md inside the redamon.wiki repo. A main-repo commit moves only the submodule pointer. The page is rendered by apiReference.ts; a hand edit is overwritten by the next run.
  • NEVER set destructiveHint: false on a tool that overwrites or aborts existing state. In the MCP spec false means only additive updates, and clients use it to decide when to ask the user first. No test checks this.
  • ALWAYS add an EXAMPLE_EXTRA_ARGS entry in apiReference.ts when a tool's body requires an argument its JSON Schema marks optional. The generated example sends only schema-required arguments, and the test calls every example.
  • ALWAYS give a new tool an ONBOARDING_PLAYBOOK entry and a capability area in playbook.ts. The Agent Onboarding pack is generated from the live tools/list, and a coverage test in onboarding.test.ts fails the moment a tool ships without whenToUse + gotchas, or sits in zero or two capability areas. Also decide whether any profile in profiles.ts should leansOn it; that half is editorial and is not enforced.
  • A tool that reads NO backend must be added to BACKEND_FREE_TOOLS in apiReference.test.ts. That file proves a tool's declared scopes are enough by calling it and expecting the generic database failure, because every Prisma model is mocked away. A tool derived purely from constants (describe_recon_settings, list_recon_presets) SUCCEEDS instead, and would otherwise read as a failure. Do not relax the assertion; name the tool.

Pattern: registering a tool

Copy the shape of an existing registerTool call in server.ts: annotations, _meta: scopesMeta({ required, conditional }) naming exactly the scopes the tool body enforces with requireScope, and inputSchema. A scope that applies only to a particular argument goes under conditional, and the arguments that trigger it need a CONDITIONAL_TRIGGERS entry in apiReference.test.ts.


Commands

bash
cd webapp
npm run docs:mcp                 # rewrites ../redamon.wiki/MCP-API-Reference.md
npx vitest run src/lib/mcp/      # scope, example-call, onboarding-coverage and stale-page checks

cd ../redamon.wiki
git add MCP-API-Reference.md
git commit -m "docs: regenerate MCP API reference"

Resources

  • MCP-Server.md, section "Regenerating the API reference" - what the page is built from, and the stale-page test
  • README.MCP.SERVER.md - security model, settings allowlist, deploy wiring; §3.1-3.2 cover Agent Profiles (never an authorization input) and how the onboarding pack is generated
  • Related skills: agentic-tool-integration, project-settings-cascade, redamon-testing

Frequently asked questions

What does the Mcp Server Tools AI skill do?

Adding, removing or changing a tool on RedAmon's INBOUND MCP server, where external agents connect in with a personal access token. The wiki API reference is generated from the server's live tools/list and goes stale silently, and each tool's annotations and declared scopes are published to connected clients. Trigger: editing a registerTool call in webapp/src/lib/mcp/server.ts; editing tools.ts, writeTools.ts, scopeCopy.ts or apiReference.ts in webapp/src/lib/mcp/; changing the scope list, default scopes, expiry presets or token prefix in webapp/src/lib/mcpAuth.ts.

Why use Mcp Server Tools on TypingMind?

Because you install it once and use it with any model. Mcp Server Tools is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Server Tools in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samugit83/redamon/tree/master/skills/mcp-server-tools. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mcp Server Tools?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Server Tools?

As many as you like. As long as a model supports skills, you can use Mcp Server Tools with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Server Tools AI skill free?

Yes. It is published on GitHub by samugit83 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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