Setup Serena Mcp logo

Setup Serena Mcp

OrganizationPopular
NeoLabHQ
setup-serena-mcp

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

Overview

PublisherNeoLabHQ
Repositorycontext-engineering-kit
Skill namesetup-serena-mcp
Stars
1.7K
Forks
159
Bundled files
Instructions only
LicenseGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by NeoLabHQ on GitHub. Read the source before you install it.

Installation

Install the Setup Serena Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NeoLabHQ/context-engineering-kit.git /tmp/context-engineering-kit
mkdir -p .claude/skills
cp -r /tmp/context-engineering-kit/antigravity/skills/setup-serena-mcp .claude/skills/setup-serena-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Serena Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Setup Serena Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Setup Serena Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

User Input:

text
$ARGUMENTS

Guide for setup Serena MCP server

1. Determine setup context

Ask the user where they want to store the configuration:

Options:

  1. Project level (shared via git) - Configuration tracked in version control, shared with team

    • CLAUDE.md updates go to: ./CLAUDE.md
  2. 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
  3. User level (global) - Configuration applies to all projects for this user

    • CLAUDE.md updates go to: ~/.claude/CLAUDE.md

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:

4. Guide user through setup process

Based on the loaded documentation:

  1. Check prerequisites: Verify that uv is installed (required for running Serena)
  2. Identify client type: Determine which MCP client the user is using (Claude Code, Claude Desktop, Cursor, VSCode, etc.)
  3. Provide setup instructions: Guide through the configuration specific to their client if it not already configured
  4. Setup project: Guide through the project setup process if it not already setup
  5. Start indexing project: Guide through the project indexing process if it was just setup
  6. 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"
  7. Test connection: Verify that Serena tools are accessible after setup
    1. If not yet, run initial_instructions
    2. Check if onboarding was performered, if not then run it.
    3. Then try to read any file

After adding MCP server, but before testings connection write to user this message EXACTLY:

markdown
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:

markdown
### 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):

markdown

**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:

  1. Guide user to run project initialization commands
  2. Explain project-based workflow and indexing
  3. Configure project-specific settings if needed

Frequently asked questions

What does the Setup Serena Mcp AI skill do?

Guide for setup Serena MCP server for semantic code retrieval and editing capabilities

Why use Setup Serena Mcp on TypingMind?

Because you install it once and use it with any model. Setup Serena Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Setup Serena Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/setup-serena-mcp. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Setup Serena Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Setup Serena Mcp?

As many as you like. As long as a model supports skills, you can use Setup Serena Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Setup Serena Mcp AI skill free?

Yes. It is published on GitHub by NeoLabHQ under the GPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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