mcp:setup-serena-mcp▌
neolabhq/context-engineering-kit · updated Apr 8, 2026
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User Input:
User Input:
$ARGUMENTS
Guide for setup Serena MCP server
1. Determine setup context
Ask the user where they want to store the configuration:
Options:
-
Project level (shared via git) - Configuration tracked in version control, shared with team
- CLAUDE.md updates go to:
./CLAUDE.md
- CLAUDE.md updates go to:
-
Project level (personal preferences) - Configuration stays local, not tracked in git
- CLAUDE.md updates go to:
./CLAUDE.local.md - Verify these files are listed in
.gitignore, add them if not
- CLAUDE.md updates go to:
-
User level (global) - Configuration applies to all projects for this user
- CLAUDE.md updates go to:
~/.claude/CLAUDE.md
- CLAUDE.md updates go to:
Store the user's choice and use the appropriate paths in subsequent steps.
2. Check if Serena MCP server is already setup
Check whether you have access to Serena MCP server by attempting to use one of its tools (e.g., find_symbol or get_symbols_overview).
If no access, proceed with setup.
3. Load Serena documentation
Read the following documentation to understand Serena's capabilities and setup process:
- Load https://raw.githubusercontent.com/oraios/serena/refs/heads/main/README.md to understand what Serena is and its capabilities
- Load https://oraios.github.io/serena/02-usage/020_running.html to learn how to run Serena
- Load https://oraios.github.io/serena/02-usage/030_clients.html to learn how to configure your MCP client
- Load https://oraios.github.io/serena/02-usage/040_workflow.html to learn how to setup Serena for your project
4. Guide user through setup process
Based on the loaded documentation:
- Check prerequisites: Verify that
uvis installed (required for running Serena) - Identify client type: Determine which MCP client the user is using (Claude Code, Claude Desktop, Cursor, VSCode, etc.)
- Provide setup instructions: Guide through the configuration specific to their client if it not already configured
- Setup project: Guide through the project setup process if it not already setup
- Start indexing project: Guide through the project indexing process if it was just setup
- If MCP was just setup, ask user to restart Claude Code to load the new MCP server, write to user explisit instructions, including "exit claude code console, then run 'claude --continue' and then write "continue" to continue setup process"
- Test connection: Verify that Serena tools are accessible after setup
- If not yet, run initial_instructions
- Check if onboarding was performered, if not then run it.
- Then try to read any file
After adding MCP server, but before testings connection write to user this message EXACTLY:
You must restart Claude Code to load the new MCP server:
1. Exit Claude Code console (type exit or press Ctrl+C)
2. Run claude --continue
3. Type "continue" to resume setup
After restart, I will:
- Verify Serena tools are accessible
- Run initial_instructions if needed
- Perform onboarding for this project (if not already done)
5. Update CLAUDE.md file
Use the path determined in step 1. Once Serena is successfully set up, update the appropriate CLAUDE.md file with the following content EXACTLY:
### Use Serena MCP for Semantic Code Analysis instead of regular code search and editing
Serena MCP is available for advanced code retrieval and editing capabilities.
**When to use Serena:**
- Symbol-based code navigation (find definitions, references, implementations)
- Precise code manipulation in structured codebases
- Prefer symbol-based operations over file-based grep/sed when available
**Key tools:**
- `find_symbol` - Find symbol by name across the codebase
- `find_referencing_symbols` - Find all symbols that reference a given symbol
- `get_symbols_overview` - Get overview of top-level symbols in a file
- `read_file` - Read file content within the project directory
**Usage notes:**
- Memory files can be manually reviewed/edited in `.serena/memories/`
Add this section, if server setup at user level (global):
**Project setup (per project):**
1. Run `serena project create --index` in your project directory
2. Serena auto-detects language; creates `.serena/project.yml`
3. First use triggers onboarding and creates memory files in `.serena/memories/`
6. Project initialization (if needed)
If this is a new project or Serena hasn't been initialized:
- Guide user to run project initialization commands
- Explain project-based workflow and indexing
- Configure project-specific settings if needed
How to use mcp:setup-serena-mcp on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add mcp:setup-serena-mcp
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches mcp:setup-serena-mcp from GitHub repository neolabhq/context-engineering-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate mcp:setup-serena-mcp. Access the skill through slash commands (e.g., /mcp:setup-serena-mcp) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★41 reviews- ★★★★★Dhruvi Jain· Dec 20, 2024
mcp:setup-serena-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ira Park· Dec 12, 2024
mcp:setup-serena-mcp has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Li Agarwal· Dec 4, 2024
mcp:setup-serena-mcp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Taylor· Nov 23, 2024
mcp:setup-serena-mcp fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Oshnikdeep· Nov 11, 2024
I recommend mcp:setup-serena-mcp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Kapoor· Oct 14, 2024
We added mcp:setup-serena-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ganesh Mohane· Oct 2, 2024
Useful defaults in mcp:setup-serena-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Li Farah· Sep 25, 2024
We added mcp:setup-serena-mcp from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Daniel Abbas· Sep 21, 2024
mcp:setup-serena-mcp reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sofia Bansal· Sep 5, 2024
Useful defaults in mcp:setup-serena-mcp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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