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MCP

MCP integrations

Standardized AI agent access to your systems — audit, ACL, less custom glue.

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Model Context Protocol (MCP) is an open standard connecting AI to data sources and tools. Bober AI Systems builds MCP servers for amoCRM, Bitrix24, 1C, Confluence, S3 — so agents invoke operations predictably and auditable.

Instead of dozens of REST wrappers in prompts — typed tools with schema, logging and RBAC. One MCP server reused by chat, sales and support agents.

Security first: read-only by default, write with confirmation workflow, secrets in vault, no arbitrary SQL.

Stack: TypeScript/Python MCP SDK, deploy beside agent backend in private network.

Typical project 2–4 weeks per system connector. Bundled with agent development.

MCP is infrastructure — value is faster agent projects and compliance.

Ad-hoc tool problems

  • —Each agent project reinvents CRM adapter
  • —No unified audit trail for tool calls
  • —Security review repeats for every script
  • —Hard to reuse tools across agents

Deliverables

  • —MCP servers for CRM, 1C, files, internal APIs
  • —Auth, rate limits, allowlisted operations
  • —Integration with LangGraph / Claude / custom agents
  • —Documentation and security review package

Phases

01

Tool inventory

Required operations, read vs write, ACL matrix.

02

MCP server dev

Schema, handlers, error model, tests.

03

Agent wiring

LangGraph tool nodes, fallbacks, tracing.

04

Security review

Pen test checklist, logging verification.

MCP topology

  • —MCP servers per domain (crm-mcp, erp-mcp, docs-mcp)
  • —Transport: stdio or SSE behind auth proxy
  • —Agent runtime discovers tools via MCP catalog
  • —Central audit log of tool invocations
  • —Secrets: vault injection at runtime

Impact

−50%

integration time on 2nd agent

2–4 wks

MCP server per system

audit

full tool call trail

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View case study →

FAQ

MCP vs REST in agent?
MCP — standard discovery, schema, ecosystem. REST — ad hoc.
Claude only?
LangGraph, custom clients — MCP SDK is open.
On-prem?
MCP servers on internal network, not public.
1C?
Read stock/prices, create order draft — scoped tools.
Maintenance?
Handover + SLA on API version changes.
Existing agents?
Migrate tools incrementally to MCP.

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Standardized AI agent access to your systems — audit, ACL, less custom glue.