Ross ROSS = Recommend OSS · open-source software intelligence for agents

aipotheosis-labs/aci

ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps. observed · 2026-08-28

github.com/aipotheosis-labs/aci · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

62/100

  • Activity 84
  • Release rhythm 40
  • Longevity 50

Flags: prerelease_only

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 713
  • days_rel: 640
  • days_push: 97
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

4885 stars · 484 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ACI.dev is an open-source tool-calling platform that connects 600+ SaaS tools to AI agents and agentic IDEs via direct function calling or a unified MCP server. It handles multi-tenant OAuth authentication, granular permissions, and dynamic tool discovery, with a Python SDK for LLM frameworks.

Use cases

  • give my AI agent access to Slack and Google Calendar without writing OAuth flows
  • add a unified MCP server to Cursor or another agentic IDE
  • manage tool permissions for multi-tenant AI agents
  • discover and call SaaS APIs dynamically from an LLM agent
  • automate devops provisioning and deployment through an AI agent
  • connect 600+ tools to a custom AI agent via function calling

When to choose

  • you need secure, multi-tenant tool access for AI agents without building per-service OAuth and API clients
  • you want a single unified MCP server instead of configuring many separate MCP servers
  • you need dynamic tool discovery and granular permission control for agents
  • you want to self-host open-source agent tooling infrastructure

When to avoid

  • you only need one or two simple API integrations and can call them directly
  • you need a fully managed SaaS with no self-hosting involvement
  • your project is not agent/LLM-based and just needs plain API clients

Facets

service · maturity active

mcp agent-framework auth authorization api-framework sdk large-language-models developer-tools apis python self-hosted tool-calling function-calling oauth2 unified-mcp-server tool-integration multi-tenant vibeops open-source ai-agents automation docker web-server

3 sources

Member repositories

RepositoryRoleHealth v2
aipotheosis-labs/acimain62

For agents

markdown · JSON · MCP: product_card(name="aipotheosis-labs/aci")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem