Codacy

Let AI surface Codacy code quality insights during every conversation

Engineering leads and DevOps managers need code quality data on demand. Your AI agent connects to Codacy, retrieves repository lists, project health scores, and organization details, then delivers answers in real-time chat instead of manual dashboard lookups.

Chosen by 800+ global brands across industries

Code quality intelligence on autopilot

Your AI agent taps into Codacy's API to pull repository data, manage API tokens, and answer project health questions mid-conversation.

List Organization Repos

A team lead asks which repositories belong to a specific GitHub or GitLab organization. Your AI agent queries Codacy's organization repositories endpoint, filters by provider and search term, and returns a paginated list instantly.

Browse Accessible Projects

A developer wants to know all projects they can access. Your agent calls Codacy's list projects endpoint, filters by organization name or provider, and presents matching repositories without the developer opening a dashboard.

Verify Account Details

Before running any operation, the agent confirms the authenticated user's identity by calling Codacy's account details endpoint. The response confirms the account is valid and connected, ensuring every subsequent action targets the right workspace.

Discover User Organizations

An engineering manager asks which Codacy organizations they belong to. The AI agent retrieves the full list of organizations tied to the user's account, helping them navigate multi-org setups without switching browser tabs.

Generate API Tokens

A DevOps engineer needs a fresh integration token. Your agent creates a new Codacy API token with a specified name, scope, and description, then returns the token details so the engineer can plug it into their CI pipeline immediately.

Revoke API Tokens

Security policy requires rotating tokens quarterly. The agent deletes an existing Codacy API token by ID when prompted, confirming successful removal so the team knows the old credential is no longer valid.

Codacy

Use Cases

Developer workflow, accelerated

Real scenarios where AI agents reduce context switching for engineering teams that rely on Codacy for code quality enforcement.

Instant Repository Discovery for New Hires

A new engineer joins and asks the internal chat, 'Which repos are in the platform-core org?' Your AI Agent queries Codacy's organization repositories endpoint filtered by the org name, returns the full list with repo names and providers, and links to each project. The new hire gets oriented in seconds instead of waiting for someone to walk them through the Codacy dashboard.

Token Rotation Without Leaving Slack

Quarterly security reviews require every CI integration token to be rotated. An engineer messages your AI Agent, 'Rotate the staging-ci Codacy token.' The agent deletes the old token by ID, creates a replacement with the same scope and a fresh description, and returns the new credentials. Token rotation completes in one chat exchange, no dashboard visits required.

Multi-Org Navigation for Agency Teams

A consulting firm manages Codacy accounts across six client organizations. A project manager asks, 'Which orgs does my account have access to?' The AI Agent calls the user organizations endpoint and returns every organization with its provider. The PM identifies the right workspace instantly rather than clicking through multiple Codacy login contexts.

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Codacy

Codacy

FAQs

Frequently Asked Questions

How does the AI agent retrieve my Codacy repository list?

The agent calls Codacy's v3 API endpoint for organization repositories, passing the organization name and provider (GitHub, GitLab, or Bitbucket). It supports pagination with page and perPage parameters, and you can filter results by repository name using the search parameter. All data is fetched live from Codacy on every request.

What authentication does Tars need to access my Codacy account?

Tars requires a Codacy account API token. Generate one in your Codacy account settings under API Tokens. The token is passed in the api-token header for every request. Tars never stores your Codacy password, and you can revoke the token at any time from the Codacy UI.

Can the AI agent create and delete API tokens on my behalf?

Yes. The agent can create new tokens with a specific name, scope (api, read, or write), and optional description using the Create API Token endpoint. It can also delete tokens by ID using the Delete API Token endpoint. You control which actions the agent is allowed to perform through your Tars tool configuration.

Does Tars cache or store my Codacy project data?

No. Every request goes directly to Codacy's API in real time. Repository lists, organization data, and account details are fetched live during each conversation. Tars does not maintain a separate copy of your Codacy data between sessions.

Will the agent work if my Codacy account spans multiple Git providers?

Absolutely. The organization repositories endpoint accepts a provider parameter (github, gitlab, bitbucket), so the agent queries each provider separately or as specified. If you ask about all repos across providers, the agent can make multiple calls and combine results.

How is this different from just bookmarking the Codacy dashboard?

The dashboard requires you to log in, navigate to the right org, and filter manually. Tars lets your team ask natural language questions like 'List all repos in the payments org on GitHub' and get instant answers in Slack, Teams, or your website chat. It also handles token lifecycle management conversationally.

Is there a rate limit when the agent queries Codacy?

Codacy Cloud limits API requests to 2,500 per five minutes per source IP. Under normal usage with an AI agent answering team questions, you will stay well within this limit. The agent handles rate-limit responses gracefully and will inform the user if a retry is needed.

Can the agent filter projects by name when listing repositories?

Yes. Both the organization repositories and list projects endpoints accept a search parameter. The agent passes the user's query as a filter so only matching repository names are returned, rather than dumping the entire list. Pagination parameters let the agent handle large organizations efficiently.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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