The shortlist
Choose the layer you need: a framework to expose a tool, a client to inspect the connection, or a ready integration. MCP connects applications to tools and context; A2A agent communication is a separate protocol. A shared protocol label does not establish compatibility or authorize writes.
Documentation-based starting points, not hands-on benchmarks. Check each option's fit, setup and costs below. Compare them with the same worksheet.
28k stars · Costs not checked · Python
FastMCP documents Python servers and clients for exposing and consuming MCP tools. Verify the actual version, transport, authentication and application-specific permission checks.
Capability source ↗— You want a ready-made server — this is the toolkit for building one.
11k stars · Free · TypeScript
The official MCP Inspector provides clients for examining and testing servers. A successful discovery or tool call checks that interaction, not every product version, permission or failure path.
Capability source ↗34k stars · Costs not checked · Go
GitHub's official server supplies repository-related tools. Confirm transport support, authentication and enabled toolsets in your client; begin with access to a disposable read-only resource.
Capability source ↗— You need write-heavy automation beyond what the API surface exposes.
Test one harmless read with the exact client and server versions, then examine timeout, revoked-access and malformed-result handling. Check tool arguments, result destinations and service charges. Enabling a protocol does not make a remote tool trustworthy or grant permission for consequential actions. These documented starting points were not executed or benchmarked by ASE.
Check client setup, protocol compatibility and permissions →
Check the linked product sources, supported languages, regional availability, permissions and current costs for your actual setup.
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