Flowlens MCP Server
FlowLens is an open-source MCP server that gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.
Flowlens MCP Server is an open-source mcp server by magentic, written mainly in Python, with 108 GitHub stars and the Apache-2.0 license. Its code was last updated May 17, 2026. The latest PyPI release is flowlens-mcp-server 0.2.17, published May 17, 2026.
FlowLens MCP
flowlens-mcp-server gives your coding agent (Claude Code, Cursor, Copilot, Codex) full browser context for in-depth debugging and regression testing.
How it works
- Record your browser flow using the <a href="https://chromewebstore.google.com/detail/jecmhbndeedjenagcngpdmjgomhjgobf?utm_source=github-repo" target="_blank" rel="noopener noreferrer">FlowLens Chrome extension</a> (user actions, network, console, storage, DOM events/screen recording).
- Share it with your coding agent via the FlowLens MCP server, giving the agent full access to the recording.
- Your agent inspects and analyzes the flow for debugging and insights — without spending time/tokens on reproducing the issue.
Demo
<video src="https://github.com/user-attachments/assets/fd73f2e6-6a7d-4518-b0db-62b8c6e6c99a" autoplay loop muted playsinline></video>
Requirements
- <a href="https://chromewebstore.google.com/detail/jecmhbndeedjenagcngpdmjgomhjgobf?utm_source=github-repo" target="_blank" rel="noopener noreferrer">FlowLens browser extension</a> add to chrome and pin for ease of use
- pipx
Getting Started
To install:
pipx install flowlens-mcp-server
To upgrade to the latest version:
pipx upgrade flowlens-mcp-server
To check that the installation was successfully:
flowlens-mcp-server
Add FlowLens MCP server
Add the following config to your MCP client (ex: ~/.claude.json) under mcpServers:
"flowlens": {
"command": "flowlens-mcp-server",
"type": "stdio"
}
MCP Client configuration
<details> <summary>Claude Code</summary> Use the Claude Code CLI to add the FlowLens MCP server (<a href="https://docs.anthropic.com/en/docs/claude-code/mcp" target="_blank" rel="noopener noreferrer">guide</a>):claude mcp add flowlens --transport stdio -- flowlens-mcp-server
</details>
<details>
<summary>Cursor</summary>
Click the button to install:
<img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Install in Cursor">
Or install manually:
Go to Cursor Settings -> MCP -> New MCP Server. Use the config provided above.
code --add-mcp '{"name":"flowlens","command":"flowlens-mcp-server"}'
</details>
<details>
<summary>Codex</summary>
Use the Codex CLI to add the FlowLens MCP server <a href="https://github.com/openai/codex/blob/main/docs/advanced.md#model-context-protocol-mcp" target="_blank" rel="noopener noreferrer">configure MCP guide</a>:
codex mcp add flowlens -- flowlens-mcp-server
</details>
<details>
<summary>Antigravity</summary>
Follow the <a href="https://antigravity.google/docs/mcp" target="_blank" rel="noopener noreferrer">Connecting Custom MCP Servers guide</a>. Add the following config to the MCP servers config:
"flowlens": {
"command": "flowlens-mcp-server"
}
</details>
Note:
The above setup only works with local flows. If you want to also connect to shareable flows, get your FLOWLENS_MCP_TOKEN from the <a href="https://flowlens.magentic.ai/flowlens/setup-wizard?tool=vscode" target="_blank" rel="noopener noreferrer">FlowLens platform</a> and add it to your relevant MCP config file:
"flowlens": {
"command": "flowlens-mcp-server",
"type": "stdio",
"env": {
"FLOWLENS_MCP_TOKEN": "YOUR_FLOWLENS_MCP_TOKEN"
}
}
Usecases:
Bug reporting
- Use FlowLens to quickly report bugs with full context to your coding agent. You no longer need to copy-paste console logs, take multiple screenshots, or have the agent spend tokens on reproducing the issue.
Regression testing
- Use FlowLens to record your crticial user flows and ask your coding agent to auto test these flows or generate corresponding playwright test scripts
Shareable flows
- Share captured flows with your teammates on the FlowLens platform and debug with your coding agent by adding a generated access token in the MCP config. More on this here
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|---|---|---|---|---|
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