mcp-server-and-agent
Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.
README
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
<!-- 2-4 sentences: what was hard, what this establishes. Written last. -->
Quickstart
uv sync --extra dev
uv run pytest -q
uv run python scripts/generate_results.py
Results
<!-- Generated by scripts/generate_results.py into results/. Every number carries: date, hardware, model snapshot, seed, reproduce command, and the raw artifact path. No number is typed by hand. -->
No results yet.
Design decisions
<!-- The judgement artifact for this repo: docs/failure-taxonomy.md: six failure modes with reproduction seeds and rate per topology. Supervisor costs 3x the tokens for no accuracy gain. -->
Limitations
<!-- At least one thing this repo does NOT establish. Written honestly. -->
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
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