Serena MCP: the IDE for your agent MCP server
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
30k stars34k downloads/wk
Reviews
Write oneNobody has reviewed Serena MCP: the IDE for your agent yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Serena MCP: the IDE for your agent tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan187 source files scanned3/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 3 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Findings (3)
- highShell command built from a string (injection risk)
exec.shell-concatserena_agent-1.5.3/repo_dir_sync.py: …in {os.path.abspath(os.getcwd())}") os.system(f"git commit --file={commitMsgFilename}") … - mediumeval / new Function used
exec.evalserena_agent-1.5.3/src/serena/resources/config/prompt_templates/info_prompts.yml: …luation & modification: session.eval("expr") # evaluate in current fram… - mediumsubprocess with shell=True
exec.shell-trueserena_agent-1.5.3/src/serena/util/shell.py: …process.Popen( command, shell=True, stdin=subprocess.DEVNULL, …
What the publisher says
From the Serena MCP: the IDE for your agent repository's README, as published. We do not edit it. Read it on GitHub
The IDE for Your Coding Agent
operating at the symbol level and exploiting relational structure.
- Serena provides essential semantic code retrieval, editing, refactoring and debugging tools that are akin to an IDE's capabilities,
- It integrates with any client/LLM via the model context protocol (MCP).
Serena's agent-first tool design involves robust high-level abstractions, distinguishing it from approaches that rely on low-level concepts like line numbers or primitive search patterns.
Practically, this means that your agent operates faster, more efficiently and more reliably, especially in larger and more complex codebases.
[!IMPORTANT]
Do not install Serena via an MCP or plugin marketplace! They contain outdated and suboptimal installation commands.
Instead, follow our Quick Start instructions.
Quick Demo
https://github.com/user-attachments/assets/8d11646e-b80e-4723-b9d7-32d6101b5f58
:tv: Longer video: Introduction to Serena in 5 Minutes (YouTube)
What Our "End Users" Say
While it is humans who download and set up Serena, our end users are essentially AI agents. As the ones actually applying Serena's tools, they are in the best position to evaluate Serena.
We crafted an unbiased evaluation prompt that leads the agent to perform ~20 routine coding tasks, representative of everyday development work, in order to estimate the value added by Serena's tools when used alongside its own built-ins.
Here's a one-sentence summary of what the agents had to say:
Opus 4.6 (high) in Claude Code on a large Python codebase:
"Serena's IDE-backed semantic tools are the single most impactful addition to my toolkit – cross-file renames, moves, and reference lookups that
would cost me 8–12 careful, error-prone steps collapse into one atomic call, and I would absolutely ask any developer I work with to set them up."
GPT 5.4 (high) in Codex CLI on a Java codebase:
"As a coding AI agent, I would ask my owner to add Serena because it gives me the missing IDE-level understanding of symbols, references, and
refactorings, turning fragile text surgery into calmer, faster, more confident code changes where semantics matter."
GPT 5.4 (medium) in Copilot CLI on a large, multi-language monorepo:
"As a coding agent, I’d absolutely ask my owner to add Serena because it makes me noticeably sharper and calmer on
real code – especially symbol-aware navigation, cross-file refactors, and monorepo dependency jumps – while I still lean on built-ins for tiny text edits and non-code work."
Different agents in different settings independently converge on the same verdict.
Give your agent the tools it has been asking for and add Serena MCP to your client!
See our documentation for the full methodology and much more detailed evaluation results, or run your own evaluation on a project of your choice.
How Serena Works
Serena provides the necessary tools for coding workflows, but an LLM is required to do the actual work, orchestrating tool use.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Install directly
claude mcp add serena -- uvx serena-agent
Serena MCP: the IDE for your agent: common questions
- Is Serena MCP: the IDE for your agent MCP server safe?
- With care: it is graded C, so read the findings first (60/100). Read the Serena MCP: the IDE for your agent safety report
- How do I install Serena MCP: the IDE for your agent?
- It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
- Does Serena MCP: the IDE for your agent need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Serena MCP: the IDE for your agent maintained?
- The last commit was 3 days ago (2026-09-24). The latest release is v1.5.3.
- What can I use instead of Serena MCP: the IDE for your agent?
- Servers from other publishers that do the same job: Figma Context MCP server, Power BI Authoring MCP Server (Local) and ContextStream MCP Server. Compare all Serena MCP: the IDE for your agent alternatives.
Alternatives to Serena MCP: the IDE for your agent
Same job from other publishers: the closest match first, then the best rated.
- Figma ContextGive your coding agent access to your Figma data. Implement designs in any framework in one-shot.not reviewedWidely usedB
Power BI Authoring MCP Server (Local)The Power BI Authoring MCP server lets an AI agent create and change Power BI semantic models.not reviewedEstablishedA- ContextStream MCP ServerProject memory, semantic code search, and grounded agent context.not reviewedEstablishedA
- ImageAI image generation and editing with prompt optimization and quality presetsnot reviewedEstablishedB
- OrcareplayRead, replay and fork recorded coding-agent runs.not reviewedEstablishedA