Packages

Jaeger is an open-source distributed tracing backend with a query HTTP API and gRPC API for retrieving traces, spans, service dependency graphs, and latency data from instrumented microservices.

LinkedIn MCP server enabling AI agents to interact with LinkedIn — posting content and articles, searching for jobs and professionals, managing connections, and integrating LinkedIn's professional network into agent-driven personal branding, recruiting, and professional networking workflows.

Middleware that bridges the OpenAI API with MCP tools, allowing developers to expose MCP tool capabilities through an OpenAI-compatible API endpoint. Supports streaming and non-streaming chat completions with MCP tool calls, SSE bridge for external clients, REST API endpoints for MCP primitives, and optional API key authentication.

Miradore REST API for cloud-based Mobile Device Management (MDM) platform. Enables AI agents to manage device enrollment and lifecycle, handle application deployment and management, access device inventory and compliance status, retrieve security policy enforcement data, manage remote wipe and lock capabilities, handle BYOD and corporate device profiles, access location tracking and geofencing data, retrieve device health and battery analytics, manage certificate and VPN configuration, and integrate device management with IT helpdesk and ITSM systems.

Montonio Baltic payment and BNPL REST API for merchants to accept open banking payments, buy-now-pay-later installments, and card payments across Estonia, Latvia, Lithuania, Finland, and Poland through a single integration combining local bank payments (SEB, Swedbank, LHV, Luminor) with BNPL financing for e-commerce and subscription checkout automation. Enables AI agents to manage open banking payment initiation for Baltic bank payment automation, handle BNPL installment checkout for Baltic consumer financing automation, access card payment processing for Baltic card commerce automation, retrieve payment confirmation for Baltic transaction automation, manage refund and cancellation for Baltic order management automation, handle webhook notification for Montonio payment event automation, access merchant settlement for Baltic reconciliation automation, retrieve transaction history for Baltic payment analytics automation, manage multi-method checkout for Baltic omni-payment automation, and integrate Montonio with WooCommerce, Magento, PrestaShop, and Baltic e-commerce platforms for end-to-end Baltic payment automation.

Moodle REST API for open-source learning management system. Enables AI agents to manage course and category creation and configuration, handle user enrollment and unenrollment automation, access quiz and assignment submission data, retrieve course completion and grade data, manage user provisioning and profile management, handle cohort and group management for structured learning, access activity and resource management within courses, retrieve site-wide usage analytics and log data, manage messaging and notification workflows, and integrate Moodle learning data with HRIS, SIS, and custom education platforms via web services.

Open Dental REST API for open-source dental practice management software. Enables AI agents to manage patient records and demographics, retrieve appointment schedules, access treatment planning data, retrieve financial and insurance claim data, manage provider schedules, integrate with dental imaging systems, and connect practice data with external healthcare and billing systems.

PocketBase is a single Go binary that provides a complete Backend-as-a-Service: SQLite database with REST API, real-time subscriptions, OAuth2 + email auth, and file storage. It runs as a single self-hosted process with no external dependencies — the admin UI, API, and database are all bundled in one file.

Official Python implementation of Apache Iceberg, the open table format for huge analytic datasets. Provides a Python API for reading/writing Iceberg tables stored in S3, GCS, HDFS, or local filesystem with catalog support (REST, Hive, AWS Glue, Nessie). Enables Python agents to interact with Iceberg data lakes — schema evolution, time travel, partition management — without Spark or Java.

Raygun REST API for crash reporting, error monitoring, and real user monitoring (RUM) platform. Enables AI agents to manage crash group retrieval and severity classification for production triage, handle error occurrence querying with full stack trace, user context, and breadcrumb access, access Real User Monitoring (RUM) performance data for web and mobile application user experience, retrieve deployment tracking and error/deployment correlation data, manage crash group resolution, assignment, and suppression workflows, handle custom error tagging and grouping for classification, access affected user tracking and customer impact analysis, retrieve application performance metrics and Apdex scoring, manage alert configuration for error thresholds and performance degradation, and integrate crash reporting with Jira, GitHub, Slack, and PagerDuty for incident response.

Code-driven operational BI platform built on DuckDB. Rill uses YAML definitions for data sources, models, dashboards, and metrics — all version-controlled in git. Connects to databases, warehouses, and local files. DuckDB powers fast local analysis without a separate data warehouse. Rill Developer (local) + Rill Cloud (hosted sharing) model. Positioned as 'analytics-as-code' — bring BI into the software development workflow with git-based version control for all analytics artifacts.

Fast, scalable inference API for open-source LLMs including Llama, Mixtral, Qwen, and other open models, with an OpenAI-compatible endpoint for easy drop-in replacement.

Rust library for building reusable, composable async middleware for network services. Tower defines the Service trait (a single async fn call) and builds a composable middleware stack around it — rate limiting, retries, timeouts, load balancing, circuit breaking. Axum, tonic (gRPC), and hyper all build on Tower's Service abstraction, making Tower middleware automatically reusable across these frameworks.

A Java/Spring Boot enterprise management platform for Xiaozhi ESP32 smart devices, providing voice interaction, LLM dialogue, device management, and MCP integration with a Vue.js web dashboard and MySQL/Redis backend.

AWS managed API gateway for creating, deploying, and managing REST, HTTP, and WebSocket APIs with Lambda integration, auth, throttling, and usage plans.

ML experiment tracking and LLM observability platform that logs training metrics, compares experiments, manages model versions, and monitors production LLM applications via a REST API and Python SDK.

Cube is a headless analytics API layer that sits between your data warehouse and frontend applications, exposing a semantic metrics layer via REST, GraphQL, and SQL APIs so agents and applications can query pre-defined business metrics consistently without writing raw warehouse SQL.

Insightly REST API for CRM and project management platform. Enables AI agents to manage contacts and organizations, track leads and opportunities, manage projects and tasks, access email activity, and integrate Insightly CRM data into marketing and business workflow automation. Insightly combines CRM with lightweight project management, targeting SMB and mid-market.

Invoiced accounts receivable automation REST API for businesses to automate the entire AR cycle — invoice generation, payment collection, dunning, cash application, and reconciliation — enabling AI agents to reduce DSO, eliminate manual AR tasks, and integrate with ERP systems through Invoiced's cloud AR platform. Enables AI agents to manage invoice management for automated invoice generation, delivery, and tracking automation, handle payment processing for ACH, card, and check payment collection automation, access dunning management for automated payment reminder and escalation workflow automation, retrieve cash application for automated payment-to-invoice matching and posting automation, manage subscription billing for recurring invoice and payment schedule automation, handle customer portal for self-service payment portal and invoice access automation, access credit management for customer credit limit and hold automation, retrieve reporting for AR aging, DSO, and collection performance analytics automation, manage ERP integration for AR data sync with NetSuite, QuickBooks, and Sage automation, and integrate Invoiced with billing systems and GL platforms for end-to-end AR automation.

Higher-level Redis data structures for Active Model — provides typed Redis primitives as model attributes via Active Model integration. Kredis features: kredis_string, kredis_integer, kredis_flag, kredis_list, kredis_unique_list, kredis_set, kredis_slot, kredis_slots, kredis_hash, kredis_json, kredis_counter, kredis_enum, kredis_scalar, and kredis_cycle types; automatic key namespacing (model:id:attribute); expiry support on any type; multi-connection configuration; and cycle/slot primitives for rate limiting and worker coordination. Replaces manual Redis key construction with Ruby-native attribute access on Active Record models.