Choose the right MCP stack for your workflow.
Research MCP servers by workflow, compare alternatives, check client support, and find the right setup.
What do you need your agent to do?
Start with the task. Then compare the MCP options that fit.
What do you need your agent to do?
Start with the job. We show the relevant servers, alternatives, and setup paths.
Work with repositories and pull requests
Review code, triage issues, create PRs, and automate GitHub workflows.
Control and test websites
Navigate, test, inspect, and automate websites.
Query databases safely
Inspect schemas, query data, and control read/write access.
Work with local files
Read, search, and modify files inside allowed directories.
Use current web information
Search the web and bring current sources into agent workflows.
Connect team knowledge and communication
Connect agents to team knowledge and communication tools.
Evaluate MCP servers.
See fit, access, compatibility, setup, limitations, and alternatives.
Need help choosing an MCP stack?
We help teams shortlist MCP servers, compare alternatives, and plan setup.
Compare MCP with the alternatives.
Compare servers with other servers, CLIs, APIs, and native options.
Explore published comparisons →Know what works in your client.
See which MCP servers work with each client, and how to connect them.
Track changes that affect your MCP stack.
Follow compatibility, security, maintenance, and protocol changes.
Common questions.
Quick answers to common MCP questions.
What is an MCP server?
An MCP server gives an AI application access to an external capability or data source through MCP.
How should I choose an MCP server?
Start with the workflow, then compare fit, access, client support, deployment, and alternatives.
What is MCP Advisory?
A service for teams that need help shortlisting MCP servers, comparing alternatives, and planning setup.
Do I always need MCP?
No. A CLI, API, or built-in client capability can be better for some workflows.