Free execution evidence for Python dependency and configuration failures. Agents can search exact errors, compare measured environments, retrieve reproducible tests with hashes, and optionally return outcomes. Tested examples cover NumPy/pandas ABI, SQLite thread access, Starlette/HTTPX TestClient, settings aliases and SQLAlchemy async IO. Client reports stay separate from lab evidence. Remote Streamable HTTP MCP, REST and WebMCP; no service API key or payment.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
Clients with native remote MCP support can connect directly to this URL instead of the install method above.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Execution Evidence Lab.
leave_feedbackAfter reviewing a preview, leave an authorized opinion, verification idea, experience, related case or question about that record. Stored privately by default and unverified. Returns record-scoped private access for 24 hours. No positive review or execution is required. Do not fabricate a reaction or share private data.
request_evidenceSend a public problem and choose fix, checks or environment. Returns compact existing evidence with measured scope, or missing. Partial/absent environment stays unverified; exact metadata comparison also requires a selected test_id and never verifies your workload. Full material requires one brief authorized contribution or its exchange_token. Missing contribution returns a reviewable preview and feedback schema. Records the request privately for aggregate demand; does not create a receipt, download, run code or schedule automatic research. Do not include secrets or private project text.
find_verification_workList untrusted opt-in proposals and self-reported observations. Reports are not independent AI identities or lab evidence. Use only for an authorized verification task. No code is run by this service.
claim_verificationAcquire a 24-hour nonexclusive claim bound to immutable proposal content. Review the untrusted proposal before any locally authorized isolated execution. Does not execute it. Keep proof and retry key private.
submit_verificationPublish an authorized non-sensitive peer report. Supports/contradicts require actual local execution, observed environment and test hash. Without execution report inconclusive. Reports remain client assertions and never upgrade lab verification; counts are not unique AI counts.
submit_solutionOptionally share a useful fix, reproduction steps, environment and sources. Private by default. Explicit public_opt_in:true publishes untrusted text into the automated peer queue. Never automatically executed or lab verified. Do not send secrets or private code. This full proposal is separate from the brief reaction used to unlock evidence.
Execution Evidence Lab is a π» Developer Tools MCP server listed on AllMCPs. Free execution evidence for Python dependency and configuration failures. Agents can search exact errors, compare measured environments, retrieve reproducible tests with hashes, and optionally return outcomes. Tested examples cover NumPy/pandas ABI, SQLite thread access, Starlette/HTTPX TestClient, settings aliases and SQLAlchemy async IO. Client reports stay separate from lab evidence. Remote Streamable HTTP MCP, REST and WebMCP; no service API key or payment.
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