Mcp 1c Tools logo

Mcp 1c Tools

Community
comol
mcp-1c-tools

Router for non-memory 1C MCP operations: select the server, operation skill with exact arguments, and fallback. Load before choosing a 1C tool; memory-only work enters through project-memory.md.

Overview

Publishercomol
Repositoryai_rules_1c
Skill namemcp-1c-tools
Stars
496
Forks
112
Bundled files
13
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.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Mcp 1c 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.
    https://github.com/comol/ai_rules_1c/tree/main/content/skills/mcp-1c-tools
  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/comol/ai_rules_1c.git /tmp/ai_rules_1c
mkdir -p .claude/skills
cp -r /tmp/ai_rules_1c/content/skills/mcp-1c-tools .claude/skills/mcp-1c-tools
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp 1c 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 1c 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 1c 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.

MCP tools for 1C — router

Apply content/rules/mcp-policy.md → Tool availability before routing: .dev.env TOOL_* policy plus callable tools and verified scope. Config entries alone prove nothing. The same policy owns obligations, budgets and typed-error recovery. Search: content/rules/mcp-first-search.md; task sequences: content/rules/tooling-playbooks.md.

Project scope is part of the call. For extensions or a multi-project graph, first match the current source roots to a returned base project_id through list_graph_projects (content/rules/multi-contour-search.md). Supply it explicitly on every graph project-data call that exposes it, including paging and evidence. Resolve extension-layer coverage separately. Use each other server's actual selector (configurationId or another field only if exposed); its identifiers are not interchangeable with graph IDs. If a tool has no explicit selector, require a verified fixed/session/entity scope or use a suitable scoped tool/fallback. Never invent unsupported parameters or accept a default/foreign project as the current one. Reuse a valid mapping until the workspace/server context changes.

Need → operation skill

Load the skill for the operation, not this whole catalogue. Each skill lists the exact argument names of its tools and example calls; no schema fetch is needed for a tool it names.

NeedSkillServers
Locate or read BSL code, module layout, members of a contextcontent/skills/1c-code-search/SKILL.mdgraph, code
Facts about a metadata object: passport, attributes, tabular-part columns, objects by category or descriptioncontent/skills/1c-meta-info/SKILL.mdgraph, code
Usages, call chains, downstream impact, register writers, extension layerscontent/skills/1c-impact/SKILL.mdgraph, code
Read forms, form artifacts, XSD / format specs before a form changecontent/skills/1c-form-inspect/SKILL.mdcode, graph, docs
Validate changed BSL and metadata XML (Gates 1–3, 5)content/skills/1c-validate/SKILL.mdsyntax, checker, code
Platform reference, capability check, БСП API, routed standards, ITS, configuration docscontent/skills/1c-platform-help/SKILL.mddocs, ssl, checker, code
Templates as the basecontent/skills/1c-templates-memory/SKILL.mdtemplates
Memory recall / save (independent entry point)content/rules/project-memory.mdcognee, openviking, templates
Run a query or fragment in the live infobase, last event-log errorcontent/skills/1c-live-ib/SKILL.mddata
Check behaviour in the 1C interface (thin client): forms, fields, tables, commands, messagescontent/skills/1c-qa-testing/SKILL.md + content/rules/qa-testclient.mdqa
Create / edit / remove metadata, forms, roles, DCS, MXL, infobasescontent/skills/1c-metadata-manage/SKILL.mdscripts, not MCP
Live 1C:EDT workspace (USE_EDT=true only)docs/edt-mcp.md, content/rules/edt-workflow.mdedt

Server catalog

The operation table above is sufficient for ordinary routing. Read server-catalog.md only to identify an unfamiliar server/alias, find a server-specific reference, or select an optional pre-alpha integration. Do not load the whole catalog before a known operation.

Fallback chain

Project source (code, metadata, usages, forms, file locations): within verified contour coverage, graph → mapped code-metadata → scoped native Grep / Glob / Read after a bounded miss, with a one-line fallback note. Code chooses its file-scan fallback internally; current tools have no grep input. Skip uncovered lanes; no eligible exposed index means native search in that contour immediately. Owner: content/rules/mcp-first-search.md; multiple roots, catalog/scope selectors and acceptance: content/rules/multi-contour-search.md.

External knowledge has no interchangeable fallback chain. Select only the relevant eligible provider. Missing templates: disclose no template check; memory: project-memory.md; routed standards: help-corpus-retrieval.md; validators/live IB: verification-gates.md. An unavailable source never proves API absence or a passed check; block dependent design when authoritative facts are missing.

Open docs/<server>.md once per server per session and only for a mode or response shape the operation skill does not cover; the environment descriptor wins over any document here.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mcp 1c Tools AI skill do?

Router for non-memory 1C MCP operations: select the server, operation skill with exact arguments, and fallback. Load before choosing a 1C tool; memory-only work enters through project-memory.md.

Why use Mcp 1c Tools on TypingMind?

Because you install it once and use it with any model. Mcp 1c 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 1c Tools in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/comol/ai_rules_1c/tree/main/content/skills/mcp-1c-tools. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mcp 1c 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 1c Tools?

As many as you like. As long as a model supports skills, you can use Mcp 1c Tools with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp 1c Tools AI skill free?

It is published on GitHub by comol. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇