Confluent MCP Server is an open-source Model Context Protocol server that lets AI assistants interact with Confluent Cloud, Confluent Platform, and standalone Apache Kafka through natural language. Its tools cover Kafka, Flink SQL, Schema Registry, connectors, and Tableflow. The catalogue add-ons help agents operate and configure the server.
Borrowing it
Nothing to install: this file belongs to confluentinc/mcp-confluent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/confluentinc/mcp-confluent/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/confluentinc/mcp-confluentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/confluentinc/mcp-confluent/copilot-instructions)<a href="https://agentmods.dev/instructions/confluentinc/mcp-confluent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/confluentinc/mcp-confluent/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/confluentinc/mcp-confluent/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/confluentinc/mcp-confluent/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03607 | $0.03607 |
| Opus 5.5 | $0.01443 | $0.01443 |
| Sonnet 5.5 | $0.00721 | $0.00721 |
| Haiku 4.5 | $0.00361 | $0.00361 |
Grade A, and why
mcp-confluent copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mcp-confluent
Project Overview
MCP (Model Context Protocol) server that exposes Kafka-ecosystem and Confluent tooling to AI assistants. The tool surface splits into two groups:
- Kafka-protocol tools that work against any Apache Kafka®-compatible cluster or Schema Registry (e.g., topic CRUD, producing and consuming messages, schema management).
- Confluent Cloud-specific tools that wrap CCloud REST APIs (e.g., Flink, Tableflow,
billing), enabled only when the relevant service block (
confluent_cloud:,flink:,tableflow:) is present in a connection's resolved config (from YAML or, during the migration, legacy env vars + CLI args).
Built with TypeScript, Node.js ≥22.23.4, and the @modelcontextprotocol/sdk. Ships as an npm package
and a Docker image; supports stdio, Streamable HTTP, and (for backwards compatibility with older
MCP clients) the legacy HTTP+SSE transport.
These instructions exist to keep GitHub Copilot PR reviews focused on the invariants that matter in
this codebase. Author-facing guidance (how to scaffold a tool, run the inspector, etc.) lives in
CONTRIBUTING.md and CLAUDE.md — refer to those rather than repeating them here.
Architecture (what reviewers need to know)
Entry flow
At startup: parseCliArgs() → initEnv() → branch on whether -c <path> was supplied:
loadConfigFromYaml(path, process.env) for the YAML path, or buildConfigFromEnvAndCli(env, ...)
for the legacy env+CLI path. Both return a single MCPServerConfiguration. Then
ServerRuntime.fromConfig() constructs one DirectClientManager per connection → iterates
ToolName enum to build the enabled tool set → registers tools on McpServer → starts transports.
YAML (-c <path>) is the preferred path. The env-var-only path is legacy: parity remains for a
single connection in this release, but it's slated for a startup warning in a near-future release
and removal a release or two later. Don't approve new code that reaches back into the legacy
synthesizer or assumes env-only configuration as the canonical model. User-facing version of this
story: CONFIGURATION.md at the repo root.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed c9269b031f5b
- 1mo ago First seen · 240 lines · 3,607 tokens per session scan A e6ac0c416b63
mcp-confluent copilot-instructions.md is an instructions file published in the GitHub repository confluentinc/mcp-confluent (168 stars, last pushed yesterday), licensed MIT. It adds 3,607 tokens to every session, about $0.0144 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.