Can Claude / ChatGPT / Cursor use KI BMS directly?

Yes, via the MCP server. It's a stdio JSON-RPC server that wires into Claude Desktop, Cursor, or any MCP-aware client in five lines of config. The list of tools matches your data model 1:1 - whatever a CRUD type exposes in the UI is exposed identically to the agent.

Do agent calls share the same auth + access controls?

Yes. The MCP server authenticates with the same JWT or PAT a human session uses. Sharing rules, org membership, rate limits, suspicion bans - all of it applies. There's no "agent backdoor" that bypasses the access matrix.

Is there an audit trail for agent actions?

Yes. Every mutation goes through the same audit-log path as a UI click. The transport (UI / API / CLI / MCP) is recorded as channel metadata so you can filter "what did the agent do this hour" from your account history.

Can I rate-limit an agent separately from a human?

Per-token rate limits apply, so you can issue an agent its own PAT and cap it independently. The shared user-level bucket also caps total throughput, so a runaway loop can't drain your whole account. The CLI's auto-update channel marker means you can also see in audit which version is calling.

Does the MCP / API surface cost extra?

No. Same plan, same surface. We don't paywall the agent - it's the same product, the same schema, the same access gates. If a plan can do X in the UI, it can do X via MCP.

KI BMS

Pricing

Compare

KI BMS: the agent-friendly alternative to concludis

Same product, same surface for humans and AI agents. MCP server + CLI + drop-in clients in 15 languages.

Agentic alternative

ATS

Comparison

DACH

Finn GlasCo-Founder + Engineering

·May 7, 2026·

2 min read

KI BMS ships an MCP server you can wire into Claude Desktop or any MCP client in five lines. The same auth + access gates apply, the same audit log records every action, the same rate limits apply. concludis doesn't currently expose this surface - that's the gap.

At a glance

concludis is right for German mid-markets and larger employers who value multi-posting to many job boards, a mature careers page, and an established German vendor with a support tradition. Multi-posting is a genuine strength we don't have at that breadth. KI BMS is right for modern teams up to ~100 people who want KI pre-sort as a default, value public prices and monthly cancellation, and don't want a procurement marathon with quote-only pricing. Both are German-centric; they target different buyer generations.

Agent surface

What 'agent-friendly' actually means in practice

KI BMS ships an MCP server, a CLI, and drop-in clients in 15 languages. They're auto-generated from the same schema your UI uses; the auth, the access gates, the rate limits, the audit log all apply identically whether you're clicking buttons or calling the API. concludis doesn't currently expose this surface, which is the gap a serious agent integration trips over - the agent ends up scraping the UI through a browser, which is fragile, slow, and silently bypasses everything below.

KI BMS vs concludis: agent-readiness comparison

	Ours KI BMS	Theirs concludis
API + webhooks + MCP		Interfaces yes, MCP no
Multi-posting to job boards		Very strong
KI fit-score with reasoning		KI features rolling out
Careers page builder
Multi-voice scorecards		Evaluation forms present
Audit log + GDPR auto-anonymisation		Configurable
Hosted in Germany
Setup time	Hours	Weeks with onboarding
Pricing model	Public (€0 / €1 / €10 per month)	Quote-only, individual
Minimum term	None - monthly	Annual contract typical

When to pick which

Pick KI BMS when

You're up to ~100 people and want to be productive in hours, not run through an onboarding phase first.

KI pre-sort with reasoning as a default is the deciding lever, not a gradually rolled-out KI feature.

Public prices and monthly cancellation matter to you - no quote-only annual contract.

Pick concludis when

Multi-posting to many German job boards from one tool is a concrete lever for your role volume.

You want an established German vendor with a long support tradition and reference list.

A guided onboarding rather than self-serve is more of a plus than an obstacle for your team.

Agentic-integration questions

What an agent-builder asks before wiring a tool into Claude / ChatGPT / Cursor.

Start with KI BMS

Free plan, no credit card. We host in Germany. Export + delete are self-serve.

Written by

Finn Glas

Co-Founder + Engineering

Finn is one of the Co-Founders. He owns the engineering side, the infrastructure, and most of the late-night fixes that ship before anyone notices.

finn.glas at aicuflow dot comLinkedIn Website