Cognipeer Console MCP sunucusu

Cognipeer 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