serena
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
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Decision brief
Serena is an advanced tool aimed at enhancing coding tasks through semantic retrieval and editing capabilities, designed for integration with AI agents.
Good fit when
- You are working within a JetBrains IDE and want to leverage Serena's integrated tools for better code understanding and manipulation.
- Your development workflow depends significantly on connecting to multi-coded platforms (MCPs) like Claude Code or Codex, requiring the flexibility of Serena’s backend configurations.
Avoid when
- If your preferred IDE is not JetBrains, as other integrations may require more manual configuration and might not be fully supported.
- You are looking for a generic code editor enhancement tool that does not need to interface with specific AI agents or MCP clients.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- 1 medium (1 medium)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install serenaHow it fits your stack(7)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Serena is a tool designed to assist AI agents in coding tasks by offering features such as semantic retrieval and code editing. It can be integrated into various development environments including JetBrains IDEs.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 19, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 19, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 19, 2026)
link for specific instructions on how to set up Serena for Claude Code, Codex, Claude Desktop, MCP-enabled IDEs and other clients (such as local and web-based GUIs).Source link
Source: README excerpt (regex_v1, Aug 19, 2026)
default, this will set up Serena to use the language server backend. To use the JetBrains backend instead, add the parameters `-b JetBrains`Source link
Tags
README
Quick Start
Prerequisites. Serena is managed by uv, and installing uv is the only required prerequisite.
[!NOTE] When using the language server backend, some additional dependencies may need to be installed to support certain languages; see the Language Support page for details.
Install Serena. Serena is installed via uv as follows:
uv tool install -p 3.13 serena-agent
After successful installation, the command serena should be available in your shell.
Initialise Serena. To initialise Serena and verify that your setup works correctly, simply run:
serena init
By default, this will set up Serena to use the language server backend. To use the JetBrains backend instead, add the parameters -b JetBrains
(see the JetBrains Plugin documentation page for additional usage details).
Either way, you should receive a success message indicating that Serena has been initialised successfully.
Configuring Your Client. To connect Serena to your preferred MCP client, you typically need to configure a launch command in your client. Follow the link for specific instructions on how to set up Serena for Claude Code, Codex, Claude Desktop, MCP-enabled IDEs and other clients (such as local and web-based GUIs).
[!TIP] While getting started quickly is easy, Serena is a powerful toolkit with many configuration options. We highly recommend reading through the user guide to get the most out of Serena.
Specifically, we recommend to read about ...
For agents
This page has a .md twin and JSON over the API.