Cognipeer Console MCP server
Commit 13 Nov 2026Sebuah AI gateway dan control plane open-source yang menyediakan routing LLM, RAG, manajemen MCP hub, serta observability agent untuk tim multi-tenant.
Juga dikenal sebagai Cognipeer/console
- Stars
- 27
- Tools
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- Unduhan, 30 hari
- —
- Versi terbaru
- —
- Commit terakhir
- 13 Nov 2026
- Lisensi
- AGPL-3.0
Apa itu Cognipeer Console MCP?
Cognipeer Console adalah MCP server. Sebuah AI gateway dan control plane open-source yang menyediakan routing LLM, RAG, manajemen MCP hub, serta observability agent untuk tim multi-tenant.
Ringkasan dibuat dari README proyek
Tentang Cognipeer Console MCP server
Cognipeer Console memungkinkan tim engineering untuk mengelola infrastruktur AI multi-tenant dan workflow agent. Gateway open-source yang dapat di-self-host ini bertindak sebagai control plane pusat untuk melakukan routing request LLM ke berbagai provider seperti OpenAI, Anthropic, AWS Bedrock, dan Google Vertex AI. Platform ini menyediakan interface yang kompatibel dengan OpenAI untuk chat completions, embeddings, dan operasi batch, sehingga memudahkan developer untuk mengimplementasikan fallback chains dan rate limiting per-model melalui satu API terpadu.
Selain routing sederhana, platform ini berfungsi sebagai MCP hub untuk menghosting dan menemukan server Model Context Protocol. Di dalamnya terdapat engine RAG yang komprehensif untuk ingest dokumen dan manajemen vector store menggunakan provider seperti Pinecone, Chroma, atau Qdrant. Pengguna dapat memantau seluruh ekosistem mereka melalui agent tracing dan monitoring inference. Sistem ini dirancang untuk lingkungan yang mengutamakan keamanan, menggunakan engine policy Cedar untuk otorisasi yang granular serta menyediakan guardrails untuk deteksi PII dan moderasi konten.
Apa yang bisa Anda lakukan dengannya
- 1Sentralisasi akses provider LLMRoute request melalui satu endpoint yang kompatibel dengan OpenAI untuk mengakses berbagai model seperti Anthropic atau Bedrock.
- 2Kelola server Model Context ProtocolKurasi dan host berbagai MCP server untuk menyediakan tool dan konteks bagi AI agent Anda.
- 3Implementasi pipeline RAGIngest dokumen dan kelola vector database untuk menyediakan konteks yang telah di-retrieve ke model Anda.
- 4Monitor performa agentPantau langkah-langkah eksekusi agent Anda menggunakan streaming atau batch tracing.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Belum diverifikasi. Sebuah server memerlukan skor 80, tidak ada temuan serius, dan data yang cukup untuk kami periksa. Cara kerja checks · Yang perlu diperbaiki untuk menambah poin
- Source repository terhubung dan dapat dijangkaucognipeer/console is public and reachablegithub.com/cognipeer/console ↗Lolos
- Nama paket mencantumkan repositori ini sebagai sumbernyaTidak diperiksa
- Provenance build (atestasi Sigstore)Tidak diperiksa
- Lisensi open source (OSI)AGPL-3.0spdx.org/licenses/AGPL-3.0.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-11-13github.com/cognipeer/console ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerTidak diperiksa
- Tidak ada advisory kritis pada paket atau dependensinyaTidak diperiksa
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote merespons handshake MCPTidak diperiksa
README
Lihat di GitHubCognipeer Console
Self-hosted, open-source AI gateway and control plane: OpenAI-compatible LLM routing, RAG, an MCP hub, guardrails and agent tracing for multi-tenant teams.
Docs · Quick start · Discussions · Changelog · Contributing · Contact
Adoption: in active use at 15 companies that Cognipeer supports as enterprise customers. Open-source users are not included in this count.
Community edition is available under AGPL-3.0. Commercial licensing, hosted deployments, and support agreements are available separately through Cognipeer.
Features
Gateway
- LLM Gateway — OpenAI-compatible chat completions, embeddings, batch, and moderations across OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, vLLM, Ollama, and more
- Model Hub & Dynamic Routing — Fallback chains and per-model quota/rate limiting
- Realtime (Enterprise) — WebSocket voice agents with barge-in and tool-call events
Agents & Automation
- MCP Hub — Curate, host, and discover Model Context Protocol servers (OpenAPI, remote, stdio) with per-tool controls
- Sandbox (Enterprise) — Isolated runtime environments for code, agents and previews with snapshot/fork/resume and port-forwarded previews
- Browser Automation — Managed browser profiles, live sessions, and per-browser MCP endpoints
- A2A Protocol — Publish Console-managed agents as Agent-to-Agent servers with agent cards
- Prompt Management — Versioned templates with environment-based deployment (dev/staging/prod); the Prompt Optimizer is Enterprise
Knowledge & Retrieval
- RAG / Knowledge Engine — Document ingestion, chunking, embedding, and retrieval
- Web Crawler & Web Search — Scheduled or ad-hoc crawling plus a built-in search provider
- Vector Store Management — Multi-provider vector operations (Pinecone, Chroma, Qdrant, and more) with built-in SQLite vector support
- OCR & Rerankers — Layout/table-aware document extraction and Cohere-compatible reranking
- Semantic Memory — Scoped memory stores with vector-based recall
Observability & Evaluation
- Agent Tracing — Batch and streaming ingest, OTLP/HTTP JSON, and an OpenTelemetry exporter
- Evaluations — Datasets, AI-assisted labeling, and accuracy scoring
- Inference Monitoring & Alerts — Real-time monitoring for self-hosted inference servers with rule-based alerting
Safety & Compliance
- Authorization Engine — Roles, group grants, project permissions and API token scopes are decided by one policy engine (Cedar) on every request, with custom allow/deny policies, an access check, decision ids on every refusal and an audit trail (docs)
- Guardrails — PII detection, content moderation, prompt shields, and custom LLM-based evaluators
- AI Red-Teaming — OWASP LLM Top 10 probes, campaigns, and attack runs
- Audit Logging — Tenant-scoped audit trails
Infrastructure & Cost
- GPU Fleet (Enterprise) — Pooled GPU inference with MIG slicing, Hugging Face catalog deploys, and capacity planning
- Cost & Optimization (Enterprise) — Budgets and automated optimization prescriptions on top of spend and usage tracking
- Multi-Tenant Architecture — Complete data isolation per tenant, projects and groups; SSO (OIDC) and LDAP sign-in are Enterprise
- File Management — Multi-provider file storage with automatic Markdown conversion
- Quota & Rate Limiting — Multi-dimensional quota enforcement with plan-level defaults
Editions
This repository is the Community Edition, licensed under AGPL-3.0. The commercial Enterprise Edition adds Sandbox, Realtime, GPU Fleet, Cluster (multi-node), Cost & Optimization, Prompt Optimizer, AI App Gateway, Portals, Channels, Service Reports, Entity Health, Data Retention, Single Sign-On (OIDC) and LDAP Directory. In a community build these pages show an upgrade notice. See COMMERCIAL.md for commercial terms.
Quick Start
Prerequisites
- Node.js 20+
- npm
Installation
git clone https://github.com/Cognipeer/console.git
cd console
npm install
cp .env.example .env.local
npm run dev
Set JWT_SECRET and PROVIDER_ENCRYPTION_SECRET in .env.local to two different random values of at least 32 characters (for example openssl rand -hex 32). Development starts without them and logs a warning; production refuses to start.
The gateway starts with SQLite by default — no external database required.
Visit http://localhost:3000 to access the dashboard.
Docker
Docker Compose reads its variables from .env. Create it with two independent secrets, then start:
printf 'JWT_SECRET=%s\nPROVIDER_ENCRYPTION_SECRET=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d
Or build and run manually with the same .env:
docker build -t cognipeer-console .
docker run -p 3000:3000 -v ./data:/app/data --env-file .env cognipeer-console
Keep both values: changing PROVIDER_ENCRYPTION_SECRET later makes stored provider credentials unreadable, and changing JWT_SECRET signs everyone out.
Architecture
┌────────────────────────────────────────────────────┐
│ Next.js App │
├──────────────┬──────────────┬──────────────────────┤
│ Dashboard │ Client API │ Dashboard API │
│ (UI) │ /client/v1/* │ /api/* │
├──────────────┴──────────────┴──────────────────────┤
│ Middleware │
│ (JWT Auth + Feature Gates + CORS) │
├────────────────────────────────────────────────────┤
│ Service Layer │
│ Models │ Vector │ Knowledge Engine │ Memory │ Tracing │
├────────────────────────────────────────────────────┤
│ Provider Registry │
│ Contracts → Runtimes (LLM, Vector, File) │
├────────────────────────────────────────────────────┤
│ Database Abstraction │
│ SQLite (default) │ MongoDB │
├────────────────────────────────────────────────────┤
│ Core Infrastructure │
│ Config │ Logger │ Cache │ Resilience │ Health │
└────────────────────────────────────────────────────┘
Technology Stack
- Framework: Next.js 15 (App Router) + TypeScript
- UI: Mantine v8 + Tailwind CSS
- Database: SQLite (default, zero-dependency) or MongoDB
- Auth: JWT (jose) + API tokens
- Authorization: Cedar policy engine (WebAssembly) deciding every request
- Cache: None / Memory / Redis
- Logging: Winston with structured context
Configuration
All configuration is managed through environment variables. See .env.example for the full list.
Key variables:
| Variable | Default | Description |
|---|---|---|
DB_PROVIDER |
sqlite |
Database backend (sqlite or mongodb) |
JWT_SECRET |
— | Required. Secret for JWT signing |
MAIN_DB_NAME |
cgate_main |
Main database name |
CACHE_PROVIDER |
memory |
Cache backend (none, memory, redis) |
RATE_LIMIT_PROVIDER |
mongodb |
Rate limit backend (mongodb, memory, redis) |
BROWSER_BLOCK_PRIVATE_NETWORK |
true |
Block private-network egress from managed browser sessions |
CORS_ENABLED |
false |
Enable CORS for client APIs |
TRUSTED_PROXIES |
— | Reverse proxies or load balancers whose X-Forwarded-For is trusted; token IP allowlists and IP rules in access policies depend on it |
For the full configuration reference, see the Configuration Guide.
Client API
The gateway exposes an OpenAI-compatible API at /api/client/v1/:
# Chat completion
curl -X POST http://localhost:3000/api/client/v1/chat/completions \
-H "Authorization: Bearer <API_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"model": "gpt-4", "messages": [{"role": "user", "content": "Hello"}]}'
# Embeddings
curl -X POST http://localhost:3000/api/client/v1/embeddings \
-H "Authorization: Bearer <API_TOKEN>" \
-H "Content-Type: application/json" \
-d '{"model": "text-embedding-3-small", "input": "Hello world"}'
See openapi.yaml for the full API specification.
Official SDK
If you are building an application against Cognipeer Console, prefer the official TypeScript/JavaScript SDK:
- SDK repo: console-sdk
- SDK docs: docs.cognipeer.com/console-sdk
Use this repository and its docs for platform setup, deployment, providers, tenancy, auth, and raw HTTP API semantics.
Documentation
Full documentation is available in the docs/ directory:
- Getting Started
- Architecture
- Configuration
- Deployment
- Multi-Tenancy
- Authorization and Upgrading to the policy engine
- API Reference
- Licensing
- Security
Build and preview the documentation site:
npm run docs:dev
Contributing
See CONTRIBUTING.md for development guidelines, code style, and PR checklist.
Security
Security reporting guidance is in SECURITY.md. Do not disclose vulnerabilities in public issues.
Cognipeer open-source projects
| Project | What it does |
|---|---|
| console-sdk | TypeScript SDK for the Cognipeer Console API |
| agent-sdk | Lightweight, message-first agent runtime |
| agent-server | Ready-made REST API layer for AI agents |
| chat-ui | React chat UI components for AI agents |
| to-markdown | Convert PDF, Office, HTML and more to Markdown for LLM pipelines |
| graph-builder | Turn text sources into a queryable graph |
| cognipeer-observability | Drop-in agent tracing for LangChain, LangGraph, OpenAI Agents and OpenTelemetry |
If this project is useful to you, a ⭐ on GitHub helps other developers find it.
Questions or enterprise support: developer@cognipeer.com.
License
This repository is licensed under the GNU Affero General Public License v3.0. See LICENSE for the full text.
If you want to embed Cognipeer Console in a closed-source product, offer a proprietary hosted derivative without AGPL obligations, or purchase support/SLA coverage, see COMMERCIAL.md
Pertanyaan tentang Cognipeer Console MCP
Apa lisensi untuk community edition?
Community edition tersedia di bawah lisensi AGPL-3.0.
Apakah gateway ini memerlukan database eksternal untuk memulai?
Tidak, gateway ini menggunakan SQLite secara default, sehingga tidak memerlukan database eksternal untuk setup awal.
Fitur apa saja yang tersedia di Enterprise Edition?
Enterprise Edition mencakup Sandbox, Realtime, GPU Fleet, Cluster, Cost & Optimization, Prompt Optimizer, serta Single Sign-On (OIDC) dan LDAP.
Bisakah saya menggunakan ini dengan tool yang kompatibel dengan OpenAI?
Ya, gateway ini menyediakan chat completions, embeddings, batch, dan moderations yang kompatibel dengan OpenAI.