Best MCP Servers for Coding Agents (2025)

Source: Dev.to

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 (MCP) ecosystem now hosts 600+ servers—exciting, but overwhelming. A coding agent doesn’t need all of them; you only need the 10‑15 that let the agent read code, write code, test code, and ship code.

Below is a curated list, grouped by the typical stages of a development workflow: Version Control, Code Execution, Testing, Documentation, and Deployment. These tools turn a chatbot into a real development assistant.

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Version Control & Code Management

What each server enables

GitHub MCP Server

• Read repo files & structure
• Create / update / delete files
• Open pull requests
• Comment on issues
• Check CI/CD status
• Search code across repos

Git MCP Server

• Stage changes
• Commit with messages
• Create / switch branches
• View diffs
• Inspect git history

GitLab MCP Server – similar capabilities to the GitHub server, but for GitLab instances.

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Code Execution & Environment

Highlights

Filesystem MCP Server – lets the agent:

• Read full or partial files
• Write new files & edit existing ones
• Search file contents
• List directory structures

Security note: Restrict allowed directories; never grant blanket filesystem access.

Sequential Thinking MCP Server – provides a structured “think‑then‑act” loop, enabling the agent to break down large tasks into manageable steps.

Docker MCP Server – spin up databases, APIs, or any service your code depends on, then run tests inside the container.

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Testing & Quality

Puppeteer MCP Server can:

• Launch headless browsers
• Navigate pages, click, type, submit forms
• Capture screenshots
• Run Lighthouse audits

Jest / Vitest MCP Servers let the agent execute unit and integration tests before committing code.

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Documentation & Search

Memory MCP Server enables the agent to:

• Store project‑specific knowledge
• Remember coding‑style preferences
• Recall past bugs & their solutions
• Track architectural decisions

Brave Search MCP Server provides up‑to‑date web results, essential for on‑the‑fly documentation look‑ups.

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Databases & APIs

PostgreSQL MCP Server lets the agent:

• Run arbitrary queries
• Inspect schemas
• Create / modify tables
• Seed test data

SQLite MCP Server offers a zero‑configuration, file‑based DB for quick experiments.

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How to Use This List

1. Pick the essentials – at minimum you’ll want the Filesystem, GitHub, Memory, and Brave Search servers.
2. Add environment‑specific servers (Docker, PostgreSQL, etc.) based on your stack.
3. Layer on testing tools (Puppeteer, Jest/Vitest) when you need automated validation.
4. Configure security – always whitelist directories, limit API keys, and sandbox containers.

With these MCP servers wired into your AI coding agent, you’ll have a full‑stack development assistant capable of reading, writing, testing, and deploying code—all while remembering the project’s history and fetching the latest documentation on demand. Happy coding!

Prototyping, Local‑First Apps

Find it: Search the MCP registry for “sqlite”

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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

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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 the 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 the MCP registry for “cloudflare”

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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.

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Setting Up Multiple Servers

Most MCP clients (Claude Desktop, Continue, Cline) let you configure multiple servers in mcp.json (or a similar config file):

{
  "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 documentation for the exact config format.

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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, store in environment variables, never commit to repos.
• Review agent actions: Especially for production deployments or destructive operations.

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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.

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Find More MCP Servers

• Official registry:
• forAgents.dev directory: (curated, searchable)
• GitHub search: topic:mcp-server or topic:model-context-protocol

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Build Your Own

If the MCP server you need doesn’t exist, build it. The protocol is simple:

• Spec:
• TypeScript SDK: @modelcontextprotocol/sdk
• Python SDK: mcp package
• Examples:

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 only when you need them. 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.