mcp-server-and-agent
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-server-and-agentcompare failure rates across the four agent topologies"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-server-and-agent
Status: work in progress. Scaffolded, not yet implemented. This README will carry generated numbers once the first results land.
A hand-written MCP server at the protocol level plus a LangGraph agent over it, with four topologies run against the same task set and their failure modes measured.
This repo answers one question:
What is each agent topology's failure rate, and does supervisor actually beat single-agent?
Everything here serves answering that. Features that do not help answer it are out of scope — deliberately.
Why this exists
Related MCP server: Brainstorm
Quickstart
uv sync --extra dev
uv run pytest -q
uv run python scripts/generate_results.pyResults
No results yet.
Design decisions
Limitations
Concepts covered
2C hand-written MCP server plus LangGraph agent (DO-8)
2C ReAct, plan-and-execute, reflection
2C topologies and their failure modes
2C tool design: schema clarity, granularity, errors as model feedback, idempotency, confirmation gates
2C MCP as a protocol: transports, discovery, resources, prompts, sampling, OAuth scope
2C state and memory, checkpointing, durable execution
…and 4 more (see
docs/inventory-coverage.md)
License
MIT
This server cannot be deployed
Maintenance
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