
Codacy
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.




Your AI agent taps into Codacy's API to pull repository data, manage API tokens, and answer project health questions mid-conversation.
Codacy
Real scenarios where AI agents reduce context switching for engineering teams that rely on Codacy for code quality enforcement.
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.
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.
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.

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