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Using Mcp Tools

OrganizationPopular
letta-ai
using-mcp-tools

Reference for the `letta mcp` CLI, which finds and invokes MCP tools available to this agent. A system reminder already lists your connected MCP servers and the basic search/schema/call commands; invoke this skill when you need more — browsing a server's tools, passing large or file-based arguments, tuning search, or troubleshooting missing servers, tools, and errors.

Overview

Publisherletta-ai
Repositoryletta-code
Skill nameusing-mcp-tools
Stars
3.4K
Forks
411
Bundled files
Instructions only
LicenseApache-2.0
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 letta-ai on GitHub. Read the source before you install it.

Installation

Install the Using Mcp 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/letta-ai/letta-code.git /tmp/letta-code
mkdir -p .claude/skills
cp -r /tmp/letta-code/src/skills/builtin/using-mcp-tools .claude/skills/using-mcp-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Mcp 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 Using Mcp 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 Using Mcp 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.

Using MCP tools

letta mcp gives the agent one unified view of every MCP server it can reach: servers connected to the agent in Letta Cloud and servers configured locally on this machine. It works from any surface where the agent runs — cloud sandboxes (chat.letta.com), Letta Desktop, and terminals. All output is JSON.

Commands

bash
letta mcp list                                # servers: [{name, transport}]
letta mcp get <server>                        # one server's connection configuration (credentials redacted)
letta mcp tools [server]                      # tool names + descriptions only
letta mcp tools [server] --full               # ...including every tool's complete schema
letta mcp schema <tool-name>                  # one tool's complete schema
letta mcp search <query> [--mode] [--limit]   # ranked tool schemas: [{tool, rank, score}]
letta mcp call <tool-name> [--args | --args-file]  # run a tool, print a CallToolResult

Every command accepts --agent <id>, defaulting to LETTA_AGENT_ID/AGENT_ID — do not pass it unless targeting another agent.

Search options

  • --mode <hybrid|vector|fts> — default hybrid. vector uses server-side embeddings and covers only cloud-connected servers; fts and hybrid also rank local tools lexically. Agents on a local backend cannot use vector.
  • --limit <n> — result count, 1-100 (default 5).
  • Rank order is meaningful; absolute scores are not comparable across queries. When even the top results look unrelated to the query, no relevant tool likely exists — do not force the best-ranked one.

Call arguments and results

  • --args '<json>' — inline JSON object.
  • --args-file <path> — read the JSON object from a file; --args-file - reads stdin. Use these for large or shell-quoting-hostile payloads.
  • Output is an MCP CallToolResult: content (array of typed blocks), optional structuredContent, and isError.
  • Exit codes: 0 success, 1 CLI/usage error (JSON on stderr: {error: {code, message, hint?}}), 2 the tool ran and returned an error result — read content for the server's message, fix the arguments, and retry.
  • Summarize relevant results instead of pasting large raw payloads.

Troubleshooting

  • list empty → no MCP servers are available. Ask the user to connect one on the Letta Cloud MCP servers page or configure a local one in the Letta Code app.
  • Cloud server with no tools (or 0 tools in the reminder) → tools were never synced. Ask the user to resync it from the MCP servers page; the CLI has no refresh action.
  • unauthorized or another auth error on call → the server's stored credentials are missing or stale (tools can still list from previously synced rows). Ask the user to re-authenticate the server: cloud servers on the MCP servers page, local OAuth servers by connecting once in the Letta Code app — this CLI is non-interactive and only reuses persisted credentials.
  • ambiguous_server_name → two servers share a name; the error hint explains how to disambiguate.
  • Duplicate tool names across servers get a numeric suffix (_2); the printed name is always the callable one.

Frequently asked questions

What does the Using Mcp Tools AI skill do?

Reference for the `letta mcp` CLI, which finds and invokes MCP tools available to this agent. A system reminder already lists your connected MCP servers and the basic search/schema/call commands; invoke this skill when you need more — browsing a server's tools, passing large or file-based arguments, tuning search, or troubleshooting missing servers, tools, and errors.

Why use Using Mcp Tools on TypingMind?

Because you install it once and use it with any model. Using Mcp 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 Using Mcp Tools in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/using-mcp-tools. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Mcp 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 Using Mcp Tools?

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

Is the Using Mcp Tools AI skill free?

Yes. It is published on GitHub by letta-ai under the Apache-2.0 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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