How to Fix Bugs with DeepSeek Harness + clip.qa

“Checkout is broken” gives a coding agent a symptom with little evidence. A screenshot can show one state, but it may not explain the steps that led there, whether the request reached the server, what appeared in the console, or which device and browser were involved.

A screen recording captures the interaction as it happened. clip.qa turns a recording into a structured bug report and adds the context available for that platform. In the Chrome extension, captured context includes console, network, and browser environment details; mobile reports can include device telemetry. Video analysis runs in the cloud. The report gives an agent a concrete starting point without requiring a developer to reproduce every detail from a text message.

The recording is evidence, not a diagnosis guarantee. The developer still checks whether the generated summary matches the clip and whether the report includes enough information to investigate. See how to describe a bug to AI for the written details that help agents act on a report.

DeepSeek Harness supports external MCP servers over stdio and Streamable HTTP. clip.qa offers a remote server at https://mcp.clip.qa/mcp, which authenticates through OAuth 2.1 with PKCE. DeepSeek’s current built-in MCP client documentation describes static request headers for Streamable HTTP, not an OAuth authorization flow. Do not assume the hosted URL will complete clip.qa’s browser sign-in from the built-in client.

For this walkthrough, use the local clip.qa MCP server, @clip-qa/mcp-server, which communicates over stdio and uses API-key authentication. DeepSeek’s own MCP client docs show how a local server is configured with a command, arguments, and environment. Map the package-documented API-key variable explicitly through the server’s config.env using the documented environment or credential-reference syntax. Harness removes credential-shaped ambient variables before starting stdio servers, so storing a key alone does not pass it to the server. Never put the key in a prompt or report.

clip.qa also provides a CLI, @clip-qa/cli, but its CLI login flow is not built according to the current product fact sheet. For this workflow, use MCP rather than treating the CLI as a ready-to-authenticate alternative.

The exact MCP tool names vary by server and transport. Once the local server starts, ask DeepSeek Harness to inspect the available tool list and schemas before calling them. The local clip.qa server includes report listing, report reading, commenting, linking a fix, and linking a fix attempt. The agent can use those exposed actions after the connection is verified.

Read the Creator Mode explainer for more about the Harness and its plugin workflow, and the clip.qa MCP overview for the product’s agent-access options.

Use this sequence to keep capture, diagnosis, code changes, and evidence review in one traceable loop.

1. Reproduce and record the issue. Use a clip.qa recording client only if you have confirmed access. The iOS app, Android app, and Chrome extension are built; store and beta availability are unconfirmed. Record the triggering action, unexpected result, and preceding steps.
2. Review the generated report. Confirm that the summary, expected and actual behavior, screenshots, and available context describe the clip accurately. Console and network capture are documented for the Chrome extension; mobile reports can include device telemetry. Add missing evidence separately.
3. Open the correct repository in DeepSeek Harness. Give the session access to the codebase that owns the behavior.
4. Connect the local MCP server. In Creator Mode, configure @clip-qa/mcp-server as a local stdio MCP server. Map its documented API-key variable through config.env, using the package’s documented environment or credential-reference syntax. Verify the connection and a read-only report lookup before enabling report writes.
5. Ask the agent to inspect the report. After the connection is verified, ask it to read the report, identify the relevant files, and explain its likely cause before editing.
6. Have the agent investigate and propose a fix. Tell it to use the observed behavior and available evidence, inspect the relevant code path, make the smallest justified change, and run the repository’s appropriate checks. Ask it to report changed files and test results.
7. Review the patch and test the original scenario. Read the diff, then reproduce the same user action on the affected platform. A passing unit test alone does not prove the visual or device-specific issue is fixed.
8. Link the attempt to the report. Use clip.qa’s exposed fix-attempt action to record the change or investigation outcome. Link the fix when there is a commit or other durable code reference. The report history should distinguish a proposed attempt from a verified resolution.

For the capture side, see screen recording to bug report. For the agent side, the AI-code QA use case explains how structured evidence can feed a coding workflow.

Imagine a user taps Place order in a mobile checkout. A spinner appears, then the app returns to the cart without showing an error. The developer has not yet reproduced the problem locally.

The tester records the flow in clip.qa: open the cart, continue to checkout, submit the order, and capture the unexpected return to the cart. The generated report gives the agent an ordered description of the interaction plus screenshots and available device context. The tester checks the report and adds one missing fact: the problem occurred on a particular Android version after the payment confirmation screen.

The developer opens the checkout repository in DeepSeek Harness and asks the agent to read the report before changing code. The agent can compare the reported sequence with the checkout state handling, inspect relevant files, and identify whether the return-to-cart behavior follows a failed confirmation path. It should state its hypothesis and the evidence it used before editing.

After a targeted change, the agent runs the relevant project checks. The developer reviews the diff, repeats the recorded checkout path on the affected device, and confirms whether the result matches the expected order confirmation. If the test succeeds, the developer links the fix and records the attempt in clip.qa. If it fails, the next attempt can refer back to the same report instead of starting from a fresh, incomplete description.

This example describes a workflow, not a promise that an agent will identify the right cause automatically. The recording, report, code access, model, and human review all affect the outcome.

The local clip.qa MCP server exposes actions for link_fix and link_fix_attempt, in addition to report-reading tools. Ask DeepSeek Harness to inspect the tool schemas before invoking them; the schema is the source for the required fields. Include a clear summary of what changed, the relevant commit or code reference when one exists, and whether the original scenario passed after the change.

If the fix is not verified yet, record it as an attempt and say what remains to test. Do not mark a fix as confirmed just because the agent edited files or a test passed. The person who owns the code should verify the reported behavior and then update the report accordingly.

• Authentication: The local MCP server uses an API key. Keep credentials outside the prompt and review what environment the server process can access.
• Tool permissions: Start with report-reading tools. Grant write actions only when the agent needs to add comments or log fix attempts.
• MCP connection: Confirm the configured server appears in DeepSeek Harness and can read the intended report. A failed or missing tool call is not a successful connection.
• Preview changes: DeepSeek Harness is in developer preview and can introduce compatibility-breaking changes. Pin or check the version and review its current setup docs when configuration changes.
• Report quality: Treat AI-generated report text as a draft. Verify details against the original video, especially device, network, and timing claims.
• Human review: Read the patch and run the reproduction flow yourself before closing the issue.

The iOS and Android apps and Chrome extension are built, but store and beta availability are unconfirmed. Do not assume recording-client access. Jira, Linear, Slack, GitHub Issues, and Notion integrations are coming soon, so this workflow uses clip.qa’s MCP access rather than claiming those integrations are available today.

If you want to give a coding agent a recorded bug report to investigate, Sign up free for clip.qa.

• Configure persistent plugins from a prompt — confirms Creator Mode can install plugin bundles and documents a Streamable HTTP MCP setup flow. Date checked: 2026-11-05.
• DeepSeek Harness MCP client reference — confirms stdio and Streamable HTTP connection options, static header configuration, and model-visible tools. Date checked: 2026-11-05.
• DeepSeek Harness MCP client reference — documents environment scrubbing and runtime credential templates for stdio servers. Date checked: 2026-11-05.
• DeepSeek Harness repository — confirms public preview status and that compatibility-breaking changes may occur. Date checked: 2026-11-05.
• DeepSeek Harness Terms of Use — confirms agent safety limitations and recommended review of generated actions. Date checked: 2026-11-05.
• clip.qa MCP endpoint — identifies the hosted MCP endpoint. Hosted authentication and product capabilities are described in the supplied clip.qa product fact sheet, dated 2026-11-03. Date checked: 2026-11-05.
• clip.qa sign-up — CTA destination. Date checked: 2026-11-05.