AI features
エージェントが内部ツールを使用できるMCPサーバー
スコープ付きの権限と完全な監査証跡により、内部APIをコーディングおよびサポートエージェントに安全に公開します。
What you get
- 型付きスキーマで選択したツールを公開するMCPサーバー
- 認証とツールごとの権限スコープ
- 引数と呼び出し元IDを含むすべてのツール呼び出しの監査ログ
- チームのエージェントクライアント向けセットアップ手順
Usually built with
TypeScript
MCP SDK
Docker
PostgreSQL
A guide, not a requirement — sellers propose what suits your situation.
Nobody offers this yet
No seller has published this service yet. Ask anyway — the request goes to the marketplace and sellers who do this kind of work can answer it.
Or publish it yourself if this is your work.
Close to this
Streaming chat UI with tool calls and real error statesThe front end your AI feature deserves: token streaming, cancellation, retries and messages that survive a refresh.from €2,000Harden your LLM feature against prompt injectionClose the gaps that let a crafted input make your agent leak data, call the wrong tool or ignore its instructions.from €1,800Evaluation harness so prompt changes stop regressingA test suite for your AI feature that runs in CI and tells you when a prompt or model change makes things worse.from €2,200Make your RAG bot stop inventing answersDiagnose why retrieval misses, then fix chunking, reranking and prompting until answers are grounded and citable.from €2,200Moderation for user-generated text and imagesAutomatic screening of uploads and posts with tunable thresholds, an appeals path and a queue for the grey area.from €2,400Token budget and caching layer for your AI featureCut your model spend with caching, routing and per-user budgets, without changing what your users experience.from €1,500
What will it cost?
Four questions, an instant range. No account, no waiting.
Estimated range
€2,000 – €4,000
5-10
Based on the catalogue guide — nobody has published this service yet, so there is no market price to work from. An estimate, not a quote: a seller prices the real job once they have read it.
Request a quote
Nobody has published this service yet.