MCP Server for 1C

Hello, Rustam. MCP servers are my area of expertise: I have four in production, and I work with the MCP protocol and Claude every day. Most of the responses here are from universal API developers; for your task, it is important that the person builds specifically MCP, not "something similar."

One of my MCP servers imports data from a Telegram channel into a structured product catalog — the logic is the same as what you need: an external system, a set of tools, a structured response for the model.

How I see the solution:
• An MCP server in Python (official MCP SDK) provides the LLM agent with a set of tools: reading counterparties, stock levels, product prices; creating documents (Customer Order, Invoice); management reporting; requesting metadata of objects.
• Each tool maps to an OData or HTTP request to 1C.
• Separately — data schema and output limitation: you rightly noted the risk of overflowing the model's context window with large tables. I plan pagination, limits, and field projections so that the model receives exactly what it needs.
• Basic/Bearer authorization, testing scenarios in Claude Desktop.
…
Honestly about the 1C side: my strong point is precisely the MCP layer and integrations via HTTP/OData. I have not worked directly with extensions inside 1C. Therefore, there are two options: either the HTTP service in 1C is prepared by your 1C specialist, and I do the entire MCP layer on top; or, if the export is standard OData, I can take care of that part as well. This affects the exact estimate.

Question: Is the HTTP service and OData in 1C already set up, or is this part of the task?

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Hello! I have reviewed your task and believe that I can successfully complete it. I would be happy to collaborate, please write to me personally for further details.

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Good afternoon, I am writing on behalf of the company Devoxen. We specialize in integrations with 1C, building API layers, MCP/LLM middleware, event-driven architecture, and secure enterprise integrations for ERP systems.

On the technical side, we can implement an MCP server as an intermediary layer between LLM and 1C with clear access rights delineation, JSON Schema tools, data volume control, request logging, and secure calls via HTTP services or OData. We will also implement mapping "tool → 1C endpoint", a system of restrictions (rate limit, role-based access), and support scenarios such as reading balances, analytics, and creating document drafts.

Architecturally, this can be implemented as a separate service (Python/Node.js/Go) with an MCP interface, an integration module for 1C, and a security layer (token-based auth + audit logs). This will allow connecting any LLM clients (Claude Desktop and others) without changes in 1C, as well as scaling the set of tools without reworking the core.

We can do this without unnecessary questions and time costs. We also provide a guarantee and support if desired. We can start working on your project immediately after discussing the technical specifications.

I suggest moving to private messages for a more detailed technical discussion.

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Hello! I have done similar integrations — an MCP server over 1C via HTTP services is quite a clear task.

Regarding the stack: Node.js / Python MCP server, Basic/Bearer authorization, mapping tools to OData/HTTP requests to 1C, JSON Schema for parameters — everything is standard.

Timeline: 2–3 weeks with testing on real scenarios (balances, searching for counterparties, creating document drafts).

Regarding the price: $800–1000 — considering documentation and connection to Claude Desktop for acceptance. I am ready to discuss the details of the 1C configuration, as this affects the volume.

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❤️Hi, hope you are doing well.

I am a senior software engineer with extensive experiences in MCP server development, API integration, JSON Schema, HTTP services, OData, ERP systems, backend security, and LLM tool integration.

This project is about building a safe “Talk to your ERP” layer between LLM agents and the 1C information base. I can develop the MCP server with clearly defined tools for reading data, generating reports, creating draft documents, changing task statuses, and exposing metadata so the AI understands the 1C structure correctly.

The implementation would include 1C HTTP service preparation, secure authorization, mapping MCP tool calls to 1C/OData requests, read-only defaults, access limits, response size controls, and testing through Claude Desktop or another MCP client.

The result will be a working MCP service that connects natural language requests to real 1C data in a controlled and reliable way.
…
Best Regards.
Youssef

Hello! I have carefully reviewed your idea Talk to your ERP, and it fits perfectly for 1C, especially if the server is strictly configured for security and transmits only the minimally necessary fragment of data. I can develop an MCP server as a clean intermediary layer that provides a set of tools for searching, reporting, creating document drafts, and discovering metadata, while maintaining controlled and predictable access.

From the 1C side, I can help design HTTP services in the extension to keep them stable during updates, with clear request and response contracts, as well as token-based authorization. From the MCP side, I will describe the JSON Schema for each tool, map calls to your 1C or OData endpoints where appropriate, and add strict protective constraints so that by default everything operates in read-only mode, with write actions limited to safe drafts and status changes.

One memorable feature I propose is Safe Preview Mode. Before executing any tool, the server first returns a short dry-run summary: which counterparty was found, which goods and quantities were recognized, what type of document will be created, and which fields will be filled. The user can confirm the action in the chat, and only after that does the server allow the write call. This preserves the natural workflow for people, prevents accidental changes in the database, and makes the agent more reliable.

https://vitcollc.ae
https://app.cookiecad.com

… Thank you!

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Hello,

I read the technical specifications — MCP server between LLM (Claude Desktop / any MCP client) and the 1C information base via extension HTTP services. Tools: reading directories, analytics, creating document drafts, reading metadata. Read-only by default, response size limit.

How I can be useful here: MCP servers are what I am currently working on. I have my own production MCP server in Python (via `mcp` SDK), with tools/resources/prompts, registration in Claude Desktop and Cursor, JSON Schema for input parameters, and authorization wrapping. Specifically for your task:

- I write the server in Python (FastMCP) or Node — whichever is more convenient to integrate into your environment.
- Mapping tools → 1C HTTP services: each tool is a typed wrapper with JSON Schema + httpx client with Bearer authentication to 1C.
- Limits: pagination and cap on rows to avoid "dropping" context. Metadata is cached.
… - Read-only enforcement at the server level: tools for writing (drafts) are explicitly marked and require a separate flag in the client config.
- Testing: I connect to Claude Desktop, run your scenarios ("How much of product X is in warehouse Y", "Create a draft invoice for counterparty Z").

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Good afternoon!

I understand well what task the MCP server should solve in such an architecture. It is important not just to connect the LLM to 1C, but to build a secure and controlled intermediary layer through which the model can work with the system predictably and without risk to the data. Especially when it comes to creating documents, analytics, and access to internal entities of the ERP.

I like that you are thinking right away about a production-ready solution, rather than just an AI chat on top of the database. Here, questions of architecture, context limitations, access control, agent action logging, and overall system reliability arise — and this usually determines the success of such projects.

From the implementation side, this looks quite realistic. The most important thing at the start is to correctly design the interaction layer between MCP and 1C, so that the foundation does not have to be redone when expanding functionality.

I would just like to understand the current infrastructure a bit better: what is your 1C configuration and are there already ready HTTP services/OData, or will this also need to be designed from scratch? After that, we can discuss the architecture and development stages in detail.

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I worked on Poseidon (https://poseidon.codezerogroup.com) — an enterprise computing platform with a Python backend, data pipelines, and an integration layer with external systems for CodeZero Group. Building the MCP server as an intermediary layer between the LLM agent and the 1C system — that's exactly this profile.

The MCP Server for 1C is not an API wrapper — it is a tool protocol that the agent understands and can autonomously invoke. Key: secure exposure of 1C operations (reading, analytics, document creation) as MCP tools with JSON Schema, with access control and logic that prevents the agent from unauthorized writes.

What I will do:

- design and implementation of HTTP API in 1C (external HTTP service with token authentication)
- MCP server in Python: JSON Schema tool definitions for each operation
- read tools: contractors, inventory states, price lists, documents
… - analytical tools: management reports on agent request
- write tools (with confirmation): order drafts, invoices, task status changes
- access to metadata: structure of 1C objects available to the agent
- security: action limits, call logging, sandbox for write operations
- integration tests with Claude Desktop (or another MCP client)
- documentation of MCP server configuration

--- OPTIONS ---

- Option A (Core MCP): 1000 USD (9 days) — HTTP API in 1C + MCP server + read tools + one type of write tool + tests with Claude Desktop
- Option B (Full Suite): 1600 USD (18 days) — A + full set of write tools + reporting analytics + metadata + security sandbox + documentation — best scope/price ratio
- Option C (Enterprise): 2080 USD (27 days) — B + agent session management + rate limiting + audit log + production deployment support

Completion time: 9 days (Option A). I need access to the 1C (test) environment, a description of the main object structure, and a list of operations to expose.

Portfolio:

- https://poseidon.codezerogroup.com — enterprise platform with data pipelines, integration layer, and Python process logic
- https://ou-uv.com — Flask/Python CMS with API integration and permission system
- https://codezerogroup.com — B2B tech, backend integrations, custom logic

5 years in AI/API integrations — from simple OpenAI wrappers to complex agent pipelines with custom logic.

I would be happy to discuss the architecture and show a sample tool schema — write to me.

Since I am new to the freelancehunt service and want to quickly gain a few initial projects for my portfolio, I offer a 15% discount for the first 5 clients.

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Hello! 👋

I have experience in developing backend services, integrations with ERP/CRM, API layers, LLM tools, AI agents, and middleware architecture.

Technology stack used:

MCP Server:
Python / TypeScript
Model Context Protocol
… JSON Schema for describing tools
tool registry: read, analytics, actions, metadata
structured responses for LLM clients

1C Integration Layer:
HTTP services in 1C extension
OData / HTTP API
Bearer token / Basic Auth
separate endpoints for contractors, balances, prices, documents, and metadata

Tools:
search for contractors
retrieve balances by warehouses
extract prices of goods
generate management reports
create drafts of documents: orders, invoices
retrieve the structure of 1C objects

Security:
read-only mode by default
whitelist of allowed operations
data volume restrictions
logging of tool calls
access roles
disallow dangerous write operations without confirmation

Testing / Delivery:
connection to Claude Desktop or another MCP client
test scenarios:
product balances;
search for contractors;
generate report;
create draft invoice.
README with MCP client setup
instructions for adding new tools

I am ready to discuss the configuration of 1C, the list of objects, access levels, and propose an exact structure of MCP tools.
I look forward to your message in private!

Best regards,
Andriy

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Hello. Your task of creating an MCP server for 1C is highly relevant. This is exactly the area in which our studio Lumvex specializes — creating intelligent interfaces between LLM agents and complex business systems.

We understand the specifics of the MCP architecture and how important it is to correctly describe the tools (Tools) and schemas (JSON Schema) so that the model does not hallucinate but clearly follows the structure of 1C metadata.

Our implementation plan:

1C Layer: Creating an extension with HTTP services that will deliver data in an AI-optimized format (minimizing tokens).

MCP Layer: Developing a server (Node.js/TypeScript) that implements the MCP protocol for seamless connection to Claude Desktop, IDE, or custom agents.
…
Security: Implementing a middleware system that will filter requests and control access rights at the OData/HTTP service level.

Our stack: Node.js/Python, MCP SDK, JSON Schema, REST/OData. We are ready to discuss the architecture of the first set of tools (reading balances, creating documents) on a call. We have experience in developing complex automation systems and integrating LLM into business processes.

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Hello!
This is a very interesting and strong project — the concept of "Talk to your ERP" is truly becoming the next stage in the development of internal corporate systems.
I have experience working with 1C/BAS, API integrations, AI automation, and building intermediary/backend layers between ERP and external services. I also have a good understanding of LLM limitations, MCP architecture, and the importance of secure access to ERP data.
What I can implement:
— HTTP/API layer in 1C through an extension
— MCP server with tools/schema for LLM
— integration via OData or custom HTTP endpoints
— secure authorization and rights management
— read-only mode by default
… — limits and data volume control
— structured responses for Claude Desktop/MCP clients
— creating document drafts through AI
— metadata tools for understanding the structure of 1C objects
For implementation, I would suggest the stack:
— Node.js / TypeScript for MCP Server
— PostgreSQL/Redis if caching is needed
— HTTP services / OData from the 1C side
I can also assist with:
— designing tools
— prompt/tool architecture
— optimizing responses for LLM
— roadmap for further development of AI-ERP interaction
The project looks promising and quite realistic for production implementation with the right architecture.
I am ready to discuss the implementation in detail and propose a step-by-step development plan 👍

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Good day! My name is Valentin, and I represent Arctic Web Agency. We are a team that specializes in creating modern and effective solutions for businesses. I can provide examples of our similar work in personal messages. We are ready to take your project to work!

Sincerely,
Arctic Web Team
Freelancehunt

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Hello. I have experience in developing MCP services. I am ready to help implement an MCP service.

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Hello! I would be happy to collaborate with you on the project: "MCP Server for 1C"... My experience in web application development is over 15 years. Portfolio: Freelancehunt

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Hello. I have thoroughly studied the architecture of your task for creating an MCP server for the 1C ecosystem. The project is highly relevant, and the concept of "Talk to your ERP" is currently the gold standard in automation.
I am ready to take on the full development of this middleware layer in Python. My technology stack and experience in creating AI automations allow me to implement a reliable bridge between LLM agents and your database. The main focus during development will be on security (strict rights limitation) and data aggregation: the MCP server will pre-compress and filter responses from 1C to avoid overflowing the model's context window and provoking hallucinations. We will describe clear JSON schemas for all declared tools (reading, analytics, draft creation).
I propose to structure the work as follows: I will develop the architecture of the MCP server and provide your 1C programmer with specifications (request/response formats) for creating HTTP services on the 1C side. After that, we will connect the systems and conduct testing in Claude Desktop. The implementation of the MVP will take about 3-4 weeks. Please let me know if you have a dedicated 1C developer for writing HTTP services on your side, or if I need to allocate time to find such a specialist?

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Good day. I represent the Nexus Core team. The task is clear: you need not just a connector to 1C, but a secure MCP server that will allow LLM agents to work with ERP through a clear set of tools — reading data, generating analytics, creating document drafts, and obtaining metadata of objects, without compromising security and overloading the system. This is precisely the case where not only integration with 1C is important, but also a competent layer between LLM and business data: with access restrictions, limits on queries, control over request schemas, and predictable behavior of tools in real scenarios.

On our side, we can offer implementation on Node.js / TypeScript with the design of the MCP server, JSON Schema for tools, mapping to HTTP services or OData 1C, read-only mode by default, logging, limits on output volume, and preparation of scenarios for Claude Desktop or another MCP client. If a custom layer is needed in 1C, we can lay out the architecture through extensions and HTTP services to separate reading, analytics, draft creation, and working with metadata. This approach provides normal scalability and allows further expansion of the server with new tools without reworking the core. For such tasks, we always emphasize security, access control, and ensuring that LLM does not receive "raw chaos," but works with a predictable and structured interface.

To provide an accurate estimate of timelines and costs, we need to clarify three points: which version of 1C is used and whether there are already published HTTP/OData interfaces, whether the first stage is needed only in read-only mode or immediately with the creation of document drafts, and where the launch is planned — locally under Claude Desktop or as a separate self-hosted service. We have cases of this class under NDA, but in private messages, we are ready to discuss the architecture, risks, and optimal implementation path for your 1C configuration in detail. Write in private messages — we will clarify the details and prepare a fixed estimate with a breakdown by stages, timelines, and stack.

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