Langfuse MCP server
by hugolesLets your AI look up your Langfuse traces, scores, prompts, and datasets while you chat.
AI Library · 4,609 MCP servers
Lets your AI look up your Langfuse traces, scores, prompts, and datasets while you chat.
Lets your AI record, review, and look up trust decisions for risky changes before they go live.
Give your AI a local memory so it remembers your project decisions between chats.
Lets your AI set up and check job monitors that alert you when a scheduled task stops checking in.
Ask your AI what happened in a local agent run: failures, approvals, token usage, and run comparisons.
Check a live website for secret files like .git, .env, backups and source maps that anyone can read.
Lets your AI remember past sessions and your corrections, so it stops repeating the same mistakes.
Let your AI check your CDN traffic, purge cache and manage domains for you.
Lets your AI look at and run queries on your Firebird databases that are already set up in FlameRobin.
Give your AI a safe identity, a locked vault for passwords, and a memory that lasts between chats.
Give your AI a private memory so it remembers your project between chats and picks up where you left off.
Let your AI assistant read CometChat's official setup guides and write chat, call and moderation code for your app.
Lets your AI look at and work with your Keboola data, tables, and jobs for you.
Your AI gets a strict bouncer between it and any outside tool, saying yes or no out loud.
Give your AI a lasting memory of your projects, so it remembers decisions and fixes between sessions.
Lets your AI use your JetBrains IDE's code smarts to find, rename, and check code safely.
Lets your AI create, list, and query Nile Postgres databases and manage tenants and users for you.
Your AI checks risky actions first and gets back a risk score, red flags, and a go, caution, or stop call.
Give your AI a shared memory that remembers what you and your other agents worked on, and tidies itself up each night.
Lets your AI look at your OpenShift cluster: projects, pods, logs, and safe changes when you allow them.
Ask your database questions in plain English and get back validated SQL answers.
Check how dangerous an AI action is before it runs, hide secrets, and keep a tamper-proof record.
Give your coding AI a memory that updates itself, so it stops repeating facts you already changed.
Check if people actually want a product idea by looking at GitHub, Hacker News and download numbers.