Composio Integration for AI Agents: 250+ Ready Connectors

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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Composio Integration for AI Agents: 250+ Ready Connectors
Simple
from 1 day to 3 days
Frequently Asked Questions

AI Development Areas

AI Solution Development Stages

Latest works

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Integrate AI Agents with External Services via Composio

Imagine: you need an AI agent to automatically create tasks in Jira based on new PRs on GitHub, notify the team in Slack, and update status in Trello. Without a ready platform, you'd write OAuth handlers, parse each service's REST API, handle errors, and scale connections. That takes days. We use Composio — a platform with 250+ ready connectors that handles the integration routine. Our experience shows: a typical bundle of 3–4 services can be set up in a couple hours, saving significant development costs.

Our Composio integration services are turnkey and cost-effective: for a standard 3-service setup, clients save $2,000–$5,000 compared to custom development. We can deliver in as little as 2 days. Write to us for a free consultation and we'll provide a detailed estimate and timeline within 1 business day.

What Problems We Solve

  • Manual OAuth and token management. Each service has its own OAuth flow. Composio provides a unified authorization interface with support for refresh tokens and multi-tenant. No more write-only callbacks.
  • Schema compatibility with LLMs. Tools must be described in a format understandable to GPT-4o, Claude, and other models. Composio automatically generates OpenAPI specifications as JSON Schema, which can be passed to LangChain or LlamaIndex.
  • Scaling connections. With thousands of users each having their own set of services, manual implementation becomes a bottleneck. Composio solves this via its entity model and centralized management.
  • Permission restrictions. You can grant an agent read-only actions (e.g., list repositories) or partial write (e.g., only comments). This is critical for production scenarios.

How We Do It: Tech Stack and a Real Case

In one project, our client — a company with a DevOps team of 20 people — wanted to automate daily CI/CD checks. The agent had to check the status of builds in GitHub Actions, open PRs, errors in Sentry, and create Jira tasks for critical issues. Previously, an on-call engineer spent 2–3 hours on this. We connected Composio, configured multi-tenant OAuth for each team member, and wrote the agent on LangGraph. The check time dropped to 10 minutes (a 90% reduction), and missed incidents decreased by 40%.

# pip install composio-langchain
from composio_langchain import ComposioToolSet, App
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

toolset = ComposioToolSet(api_key="composio-api-key")

# Get tools for specific applications
github_tools = toolset.get_tools(apps=[App.GITHUB])
jira_tools = toolset.get_tools(apps=[App.JIRA])
slack_tools = toolset.get_tools(apps=[App.SLACK])

llm = ChatOpenAI(model="gpt-4o")

# ReAct agent with access to GitHub + Jira + Slack
agent = create_react_agent(
    llm,
    tools=[*github_tools, *jira_tools, *slack_tools],
)

result = agent.invoke({
    "messages": [{
        "role": "user",
        "content": "Find all open PRs in the repository company/backend, "
                   "create Jira tasks for each and notify in #dev-reviews"
    }]
})

How to Set Up Multi-Tenant OAuth in Composio?

Multi-tenant solves the problem where each user of your system authorizes with their own account (e.g., personal GitHub). Composio provides the initiate_connection method that returns a redirect URL. After successful authorization, you use the entity_id so the agent acts on behalf of that specific user. The platform handles all token management — you don't need to store refresh tokens or handle expiration. Learn more about the protocol OAuth 2.0.

# Composio supports different accounts for different users
toolset = ComposioToolSet(api_key="composio-api-key")

# Initiate OAuth for a new user
connection = toolset.initiate_connection(
    app=App.GITHUB,
    entity_id="user_12345",  # User ID in your system
    redirect_url="https://yourapp.com/auth/callback",
)
print(f"Redirect user to: {connection.redirectUrl}")

# After authorization — agent works on behalf of this user
user_toolset = ComposioToolSet(
    api_key="composio-api-key",
    entity_id="user_12345",
)
user_tools = user_toolset.get_tools(apps=[App.GITHUB])

Filtering Tools

from composio import Action

# Only specific actions (permissions limitation)
read_only_tools = toolset.get_tools(
    actions=[
        Action.GITHUB_LIST_REPOSITORIES,
        Action.GITHUB_GET_PULL_REQUEST,
        Action.JIRA_GET_ISSUE,
        Action.JIRA_LIST_ISSUES,
    ]
)

# Prohibit write operations in production
write_tools = toolset.get_tools(
    actions=[
        Action.GITHUB_CREATE_ISSUE_COMMENT,
        Action.JIRA_UPDATE_ISSUE,
    ]
)

Why Composio Over Custom Development?

Criteria Composio Custom Implementation
Setup time for 3–4 services 1–2 days (10x faster) 2–3 weeks
OAuth support Ready flow with refresh Build from scratch
Multi-tenant Built-in entity model Hard to scale
LLM compatibility Automated JSON Schema Manual tool descriptions
API freshness Updated by platform Self-maintained
Estimated cost $1,500–$8,000 $10,000–$20,000

Top 5 Integrated Services

Service Typical Use Cases Number of Actions
GitHub PRs, issues, actions 80+
Jira Tasks, sprints, users 60+
Slack Messages, channels, reactions 40+
Salesforce Contacts, deals, reports 100+
Gmail Emails, labels, filters 50+

Process: From Task to Deployment

  1. Analysis — discuss which services need to be connected, what actions the agent should perform, and what access level is required. Our team provides a detailed scope within 1 business day.
  2. Design — choose the architecture (LangChain, LlamaIndex, or custom), design the multi-tenant model. We document all decisions.
  3. Integration — connect Composio, set up OAuth, write the agent code. This includes thorough testing of edge cases like token revocation and API limits.
  4. Testing — run the agent in an isolated environment, check edge cases (token revocation, API limits). We guarantee a 95% reduction in integration errors.
  5. Deployment and monitoring — deploy to production, set up logging and alerts. Includes a 30-day support period.

What You Get as a Result?

  • A ready AI agent with access to your services.
  • Architecture documentation and instructions for adding new integrations.
  • User guide for OAuth authorization.
  • Commented code with examples.
  • Operational support (optional).

Typical timelines: from 2 days for standard solutions to 2 weeks for complex multi-tenant architectures. Pricing is determined individually. Contact us — we will evaluate your project within 1 business day.

What Guarantees Do We Offer?

We have implemented Composio for 15+ projects, from startups to enterprises. We guarantee that integrations will work stably and the agent will correctly handle API errors. If issues arise with non-standard scenarios, we refine the solution. The final code is handed over to the client with full documentation. OAuth 2.0 Authorization Framework, RFC 6749

Get in touch to discuss integrating AI agents into your infrastructure — we will prepare an estimate and timeline within 1 business day. Our Composio integration service includes everything: OAuth setup, agent coding, and deployment. For a standard package, you can start in 2 days at $1,500. Write to us now for a free consultation.