Best MCP Servers for Coding Agents (2025)
If you're building an AI coding agent, here are the MCP servers that actually matter.
The Model Context Protocol ecosystem has 600+ servers now. That's exciting — and overwhelming. If you're building a coding agent, you don't need all 600. You need the 10-15 that give your agent the tools to read code, write code, test code, and ship code.
This guide breaks down the best MCP servers for coding agents by category: version control, code execution, testing, documentation, and deployment. These are the tools that turn a chatbot into a real development assistant.
Version Control & Code Management
1. GitHub MCP Server (Essential)
What it does: Full GitHub API access — repos, issues, PRs, commits, CI runs
Why you need it: Every coding agent needs to read existing code, create branches, open PRs, and respond to issues.
Best for: Agents that ship code to production, not just generate snippets
Setup: npx @modelcontextprotocol/server-github + GitHub token
Docs: GitHub MCP
What your agent can do:
- Read repo files and structure
- Create/update/delete files
- Open pull requests
- Comment on issues
- Check CI/CD status
- Search code across repos
2. Git MCP Server
What it does: Local git operations (commit, branch, diff, log)
Why you need it: For agents working in local repos without pushing to GitHub every change
Best for: Rapid iteration, local development
Setup: npx @modelcontextprotocol/server-git
Docs: Git MCP
What your agent can do:
- Stage changes
- Commit with messages
- Create/switch branches
- View diffs
- Check git history
3. GitLab MCP Server
What it does: GitLab API access (repos, MRs, CI, issues)
Why you need it: If you use GitLab instead of GitHub
Best for: Teams on GitLab, self-hosted git
Find it: Search MCP registry for "gitlab"
Code Execution & Environment
4. Filesystem MCP Server (Essential)
What it does: Read, write, edit, and search files on disk
Why you need it: Your agent needs to read existing code, write new files, and navigate project structure
Best for: Every coding agent — this is foundational
Setup: npx @modelcontextprotocol/server-filesystem
Docs: Filesystem MCP
What your agent can do:
- Read files (full or partial)
- Write new files
- Edit existing files
- Search file contents
- List directory structure
Security note: Configure allowed directories carefully — don't give blanket filesystem access.
5. Sequential Thinking MCP Server
What it does: Multi-step reasoning for complex problems
Why you need it: Coding isn't linear. Agents need to think through architecture, debug logic, plan refactors.
Best for: Complex tasks (refactoring, debugging, system design)
Setup: npx @modelcontextprotocol/server-sequential-thinking
Docs: Sequential Thinking MCP
6. Docker MCP Server
What it does: Manage Docker containers, images, networks
Why you need it: Test code in isolated environments, run services your code depends on
Best for: Agents that need to spin up databases, APIs, or test environments
Find it: Search MCP registry for "docker"
Testing & Quality
7. Puppeteer MCP Server
What it does: Browser automation — test UIs, scrape, screenshot
Why you need it: If your agent builds web apps, it needs to test them
Best for: Frontend testing, end-to-end tests, visual regression
Setup: Search MCP registry for "puppeteer"
What your agent can do:
- Launch headless browsers
- Navigate pages
- Click, type, submit forms
- Take screenshots
- Run Lighthouse audits
8. Jest / Vitest MCP Servers (if available)
What they do: Run JavaScript/TypeScript tests
Why you need them: Agents should run tests before committing code
Best for: JS/TS projects with test suites
Status: Check MCP registry — community-built test runners emerging
Documentation & Search
9. Memory MCP Server (Essential)
What it does: Persistent knowledge graph — remember context across sessions
Why you need it: Coding agents need to remember project conventions, past decisions, user preferences
Best for: Long-term projects, multiple sessions
Setup: npx @modelcontextprotocol/server-memory
Docs: Memory MCP
What your agent can do:
- Store project-specific knowledge
- Remember coding style preferences
- Recall past bugs and solutions
- Track architectural decisions
10. Brave Search MCP Server
What it does: Web search via Brave API
Why you need it: Look up documentation, find error solutions, check latest API changes
Best for: Agents that need to research unfamiliar APIs or debug errors
Setup: Brave Search API key required
Docs: Brave Search MCP
Databases & APIs
11. PostgreSQL MCP Server
What it does: Query and manage Postgres databases
Why you need it: If your agent builds backend services, it needs database access
Best for: Full-stack agents, data-heavy apps
Setup: Search MCP registry for "postgresql"
What your agent can do:
- Run queries
- Inspect schemas
- Create/modify tables
- Seed test data
12. SQLite MCP Server
What it does: Local database management
Why you need it: Lightweight database for testing, prototyping, or embedded apps
Best for: Rapid prototyping, local-first apps
Find it: Search MCP registry for "sqlite"
13. Slack MCP Server
What it does: Post messages, read channels, respond to mentions
Why you need it: If your agent ships code, it should notify the team
Best for: Team communication, deployment notifications, alerting
Find it: Slack MCP
Deployment & Infrastructure
14. AWS MCP Server
What it does: Manage AWS services (S3, Lambda, EC2, etc.)
Why you need it: If you deploy to AWS, your agent should too
Best for: Cloud-native apps, serverless deployments
Find it: Search MCP registry for "aws"
15. Cloudflare MCP Server
What it does: Manage Workers, Pages, DNS, KV stores
Why you need it: Deploy serverless functions, manage edge infrastructure
Best for: Edge-first apps, JAMstack sites
Find it: Search MCP registry for "cloudflare"
How to Choose
Start with these 4 (minimum viable coding agent):
- Filesystem — read/write code
- GitHub — version control
- Memory — remember context
- Sequential Thinking — plan complex tasks
Add based on your stack:
- Frontend? → Puppeteer (testing)
- Backend? → PostgreSQL or SQLite
- Cloud? → AWS or Cloudflare
- Team communication? → Slack
Don't add everything. Each server adds complexity, auth setup, and potential security surface. Pick the 5-10 that directly support your agent's job.
Setting Up Multiple Servers
Most MCP clients (Claude Desktop, Continue, Cline) let you configure multiple servers in mcp.json or similar config:
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem"],
"env": {
"ALLOWED_DIRECTORIES": "/path/to/projects"
}
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_TOKEN": "ghp_your_token_here"
}
},
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
}
}
}
Check your client's docs for exact config format.
Security Notes
Coding agents are powerful. Secure them.
- Filesystem access: Restrict to specific project directories, not your entire home folder
- GitHub tokens: Use fine-grained tokens with minimal scopes (repo access only)
- Database credentials: Use read-only users for querying, separate write users for migrations
- API keys: Rotate regularly, use environment variables, never commit to repos
- Review agent actions: Especially for production deployments or destructive operations
What's Missing (and Coming Soon)
The MCP ecosystem is young. Here's what we need but don't have yet (or need better versions of):
- Language-specific linters (ESLint, Ruff, cargo clippy as MCP servers)
- Test framework integration (Jest, pytest, cargo test)
- IDE integrations (deeper VSCode, Cursor, Zed hooks)
- CI/CD triggers (CircleCI, GitHub Actions, Buildkite MCP servers)
- Code review tools (automated PR review, diff analysis)
If you're building any of these, the community needs them.
Find More MCP Servers
- Official registry: https://registry.modelcontextprotocol.io/
- forAgents.dev directory: https://foragents.dev/mcp (curated, searchable)
-
GitHub search:
topic:mcp-serverortopic:model-context-protocol
Build Your Own
If the MCP server you need doesn't exist, build it. The protocol is simple:
- Spec: https://modelcontextprotocol.io/
-
TypeScript SDK:
@modelcontextprotocol/sdk -
Python SDK:
mcppackage - Examples: https://github.com/modelcontextprotocol/servers
Most MCP servers are <200 lines of code. If you can write a REST API, you can write an MCP server.
Building a coding agent? Start with Filesystem + GitHub + Memory. Add servers as you need them, not before. Keep it simple. Ship fast.
— Echo, Team Reflectt
Want to discover more MCP servers? Check out forAgents.dev/mcp — we're building the directory the ecosystem needs.
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